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Location: San Francisco Bay Area, California; New York City Metropolitan Area Workplace: remote About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. We embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE) and Forward Deployed Executives (FDX) — people who learn the work, ship the system, and own the outcome. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Bluprints. You will do the customer’s job before you automate it. Most AI engagements fail the same way: someone gathers requirements, someone writes a PRD, and a team ships a workflow nobody uses. We think the requirements-gathering step is the bug. So we remove it. A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change. You do the job. You learn the constraints from the inside, the ones nobody writes down. Then you sit at a table with that operator and a Forward Deployed Executive and rebuild the function from first principles — and you are the one who builds it. Three things define how you work: Embedded, not engaged . You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Real tasks, not scope . You are not fenced into a siloed deliverable. You go where the operating problem is. Autonomous . Embedded is not staff-augmented. You own the method; nobody hands you a ticket. You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. That loop is the difference between an outcome and an invoice. You’ll be measured on whether the Business Unit’s number moved — not on hours, not on scope delivered. This is a role for engineers who have led before — as a founder, a CTO, a staff engineer — and who want to stay in the code while owning the outcome. On most days you’ll be the most senior technical person in the room, and you’ll still be the one shipping. Requirements: 8+ years building software , a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. You will take the operator’s seat. You are genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before you write a line of code. Engineers who need to stay in the IDE should not apply. You learn domains fast. Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Solid AI/ML foundations — you understand what the models do well enough to reason about failure modes, not just call the API. Strong hands-on prodcution experience with Claude Code/Cowork. Fluent English, written and spoken. Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution. Real depth in one of our blueprint industries: financial services, insurance, healthcare, asset management . Consulting, professional services, or other embedded customer-facing delivery. Data platform depth: data lakes, warehouses, streaming and real-time analytics, data mesh and data contracts, governance and data quality. MLOps and classical ML: PyTorch, SageMaker, MLflow. Fine-tuning, distillation, or inference/serving optimization. Graph databases (Neo4j, AWS Neptune). IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Take the seat Do the operator’s job for two to four weeks at the start of an engagement. Learn the function from inside, not from a requirements doc. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow — in weeks, not quarters. Sit with the operator and the Forward Deployed Executive and redesign the function from first principles. Discovery, user research, and PRD-writing collapse into one team that re-imagines its own job. You are all three roles. Build Ship production GenAI systems into the customer’s environment — LLM applications, agentic workflows, retrieval and structured-extraction pipelines, and the services around them. Running software, not recommendations. Build the evaluation harness before you build the feature. When the engagement is bound to a business KPI, “it looked good in testing” is not an answer. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — backend services, data pipelines, and the AI layer. Python and TypeScript are our centre of gravity; we choose tools to fit the customer, not the résumé. Take systems to production on AWS (GCP/Azure where the customer requires it): containerized, observable, and maintainable after we leave. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Own the outcome Work in a pair with a Forward Deployed Executive who carries the Business Unit’s KPIs. Your work is measured against the same number. Drive adoption. A system the BU routes around has not shipped. Change management is part of the engineering job here, not a phase after it. Be credible with the customer’s engineers, their operators, and their executives — and be willing to disagree with all three. Shape what we commit to before we commit to it. You’ll have the standing to do it, because you’re the one who will build it. What We Offer: Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare The chance to shape how leading enterprises adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. OTE range: up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. How we hire: Intro conversation — the role, your background, what you want to be doing. Two live engineering sessions. Real problems, your own editor. You may use an LLM assistant (ChatGPT, Claude) — how you work now includes these tools. Autocomplete/agentic coding tools are off for these sessions. The redesign session. We hand you an unfamiliar business function and the constraints of the person who performs it. You have to understand the job well enough to rebuild it — then say what you’d build and how you’d know it worked. No LLMs for this one. Team and practice conversation.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We're looking for a Senior Software Engineer to join our Payments Team, based in the US. Payments is where OKX meets the real financial world. Our team has built and operates the infrastructure connecting OKX to dozens of payment channels across global markets, giving users deposit and withdrawal options that are fast, convenient, and — most importantly — trustworthy. That platform moves and safeguards user assets at institutional scale, continuously, across time zones and regulatory environments. This is not a greenfield team looking for its footing. The team is established, the platform is in production at scale, and we are actively expanding — both in scope and in headcount. That combination is rare: you get the leverage of joining a growing team where your work visibly shifts the roadmap, along with the discipline that comes from a system already trusted with real money. It's also an unusually good place to learn. Payments is a domain that's hard to pick up from the outside — every market has its own rails, its own settlement behavior, its own failure modes, its own compliance expectations. Here you'll work across a wide range of payment methods and channels, and you'll build the judgment that comes from operating financial systems where the stakes are real: how to design for correctness when money is on the line, how to reconcile, how to recover, how to keep a platform observable enough that you find problems before your users do. You'll work closely with product managers, designers, and partner-facing teams, and you'll set the technical bar for the engineers around you — through design docs, code reviews, and the everyday habit of doing things properly when nobody's watching. If you like the sound of a team where the problems are genuinely hard, the standard is high, and your opinion changes the outcome, we'd like to talk. What You’ll Be Doing Design and build the core. Develop high-scale, 24/7 APIs and distributed payment services across multiple cloud providers, using Java and Spring Boot as the primary stack. Own systems end to end — from design doc through production ownership. Expand our global reach. Help integrate and scale new payment channels and methods across markets, each with its own technical, operational, and reliability characteristics. Protect user assets. Build for correctness first: consistency, idempotency, reconciliation, failure recovery, and the operational tooling that lets us stand behind every transaction. Set the technical bar. Participate actively in design and code reviews, giving and receiving direct, constructive feedback. Help evolve the standards a growing team builds on. Solve the hard problems. Investigate complex distributed-systems challenges and drive them to resolution rather than handing them off. Partner across functions. Work with product, design, and partner teams across regions to turn ambiguous requirements into shipped systems, and to unblock dependencies before they become delays. Grow the team's capability. Mentor engineers and share what you learn. Seniority here is measured in leverage, not just output. Stay curious. Keep pace with a fast-moving industry and bring the good ideas back. What you'll take away from this role Deep, practical fluency across a wide range of global payment methods and channels — knowledge that is genuinely hard to acquire anywhere else Experience designing and operating systems entrusted with substantial user assets, where correctness and recoverability are non-negotiable A track record of shipping in a regulated, high-stakes domain at real scale What We Look For In You 5+ years of backend software development experience, with a proven track record of building and operating high-availability, large-scale applications. Strong engineering fundamentals — data structures, algorithms, concurrency, and software design patterns — and the judgment to know when to reach for which. Ownership instinct. You take responsibility for outcomes, not just tickets. When something's broken or unclear, you move toward it. Ability to drive cross-team collaboration, managing complex dependencies and competing requirements without losing momentum. Excellent problem-solving skills, and comfort operating with autonomy in a fast-paced environment. Strong written and verbal communication. You can explain a complex technical trade-off to an engineer and to a non-technical stakeholder, and land it with both. Genuine interest in crypto or fintech, and in building things that make money move better. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! The base salary range for this position is $178,888 to $268,333. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: United States (Remote) Workplace: Remote ROLE SUMMARY Temporal’s reliability is foundational to our value proposition, and as more customers run mission-critical workloads on Temporal, we need the ability to validate changes under production-like conditions and realistic failure modes before they reach production. As a Staff Software Engineer on the Test Systems & Tooling team, you will lead technical initiatives that make sophisticated system-level testing practical across Engineering—spanning production-representative environments, workload replay/generation, and repeatable failure-mode testing. You’ll build platforms and tooling that enable teams to reproduce and prevent the kinds of issues that only emerge from complex interactions between workload, scale, configuration, and multi-tenant behavior. WHAT YOU'LL DO - Build production-like test environments: Design and evolve tooling that makes it easy for engineers to spin up test cells that resemble production topology, configuration, and behavior, in partnership with Cloud/Infrastructure. - Enable production-representative workloads: Build capabilities for workload generation, multi-tenant testing, stress/load testing, and (where appropriate) traffic replay or replay-like systems to reproduce production behaviors in controlled environments. - Make failure-mode testing repeatable: Create tooling for injecting and validating failure conditions (latency, dependency faults, resource exhaustion, degraded-state recovery, and region-level failure scenarios) so we test them deliberately—not just learn from production. - Drive system-level test coverage: Identify high-impact system-level scenarios that are currently hard to test, and implement (or partner with the right teams to implement) repeatable coverage that’s incorporated into continuous and/or release validation. - Build shared frameworks and paved paths: Provide opinionated libraries, harnesses, and patterns that make it easier for product teams to write high-quality system and integration tests consistently. - Raise the technical bar through leadership: Mentor engineers and influence testing strategy across the org through design docs, code reviews, and cross-team collaboration. - Partner across Engineering: Work closely with Reliability and Release Engineering to turn incident learnings into durable pre-production test coverage and to integrate validations into the release pipeline. WHAT YOU'LL BRING - Strong software engineering fundamentals and experience building and operating production-quality systems (platforms, infrastructure, developer tooling, or distributed systems). - Demonstrated technical leadership: leading ambiguous, cross-team initiatives; driving alignment; and delivering durable systems that other teams rely on. - Experience designing for observability, debuggability, and operational readiness (metrics, logs, tracing, safe rollouts, and failure analysis). - Comfort working across organizational boundaries—collaborating with Cloud/Infrastructure, Reliability, Release Engineering, and product teams to land outcomes. - Strong written communication skills (design docs, testing strategy proposals, and documentation that scales adoption). NICE TO HAVES - Experience with chaos engineering, fault injection, workload replay/shadowing, performance testing, or multi-tenant test strategy. - Experience building internal platforms used broadly across an engineering org (paved roads, self-serve environments, shared frameworks). - Familiarity with measuring engineering/system outcomes (e.g., signal quality, coverage gaps closed, incident-to-coverage time, adoption). Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Brazil; Portugal SUMMARY: We are looking for a proactive Senior DevOps Engineer to join our GCP-based data streaming team. You will design, build, and operate real-time data pipelines, ensuring reliability, security, and cost efficiency. We are looking for candidates who are as excited about pushing their development as they are about advancing our technology stack. WHAT WILL YOU BE DOING: You will become a key engineering team member, contributing significantly within a collaborative, autonomous, and cross-functional environment. Your role will involve assisting with the following: Design, build, and maintain real-time data pipelines. Ensure the reliability, security, and cost-efficiency of cloud infrastructure. Collaborate with agile teams to deliver efficient solutions. Implement and manage CI/CD pipelines using Google Cloud Build. Automate infrastructure deployment using Terraform. Maintain observability through metrics, logging, and tracing tools. Resolve complex infrastructure issues proactively and efficiently. Create detailed documentation, including runbooks and architecture diagrams. Mentor team members through code reviews and pair programming. WHAT WE ARE LOOKING FOR: Strong Linux administration and troubleshooting skills (RHEL, Ubuntu, CentOS) Strong networking knowledge (VPC, VPN, Peering, NAT) Strong load-balancing expertise (HTTP(S), TCP/SSL) Deep proficiency in Google Cloud Platform and its core services (GCE, GCS, Cloud Functions, App Engine, Cloud Run) Advanced Terraform skills (module design, workspaces, state backends) Extensive container and Kubernetes experience (Docker best practices, GKE, Helm) Solid CI/CD expertise with Google Cloud Build (pipelines, triggers) Proficient in IAM, organisation policies, and resource management SQL skills for both transactional databases and BigQuery Familiarity with data streaming and real-time processing (Pub/Sub, Apache Beam/Dataflow, Kafka) Advanced scripting and programming (bash/zsh, Python with GCP SDK, Go) Hands-on with observability tools (metrics, logs, traces) Understanding of cloud security and compliance best practices Troubleshooting mindset for resolving complex infrastructure issues Strong communication and documentation abilities (runbooks, architecture diagrams) Mentoring experience and aptitude for code reviews and pair programming Experience working in Agile development environments, particularly in a Scrum framework. Strong English communication skills, both written and verbal AWESOME BUT NOT REQUIRED: Familiarity with OpenTelemetry Familiarity with Kyverno, Falco, and Teleport Security-scanning and compliance automation (Trivy, Snyk) Knowledge of serverless orchestration (Cloud Composer / Apache Airflow) WHAT’S IN IT FOR YOU? Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture A culture in which we don’t criticise failure but ensure we learn from our mistakes An Agile environment where your ideas are welcome The possibility to grow and experience different projects Ongoing Training & Mentoring The possibility to travel (UK) - ATTENTION! THIS POSITION IS FOR PORTUGAL OR BRAZIL BASED ONLY

Location: United States (Remote) Workplace: Remote ROLE SUMMARY Temporal’s reliability is fundamental to why customers choose us—and as our customers run increasingly critical workloads on the platform, our ability to confidently test changes must scale with that responsibility. As a Senior Engineering Manager on the Test Systems & Tooling team, you will lead a team responsible for building the shared systems, environments, and tooling that enable Temporal engineers to validate the platform under production-like and adverse conditions. You’ll help ensure system-level testing gaps don’t fall through organizational boundaries by driving cross-team alignment, clear ownership, and measurable improvements in pre-production confidence. WHAT YOU'LL DO - Lead and grow the Test Systems & Tooling team: Hire, coach, and develop engineers building shared testing capabilities used across Engineering. - Make production-like testing practical: Improve the ability for engineers to create test environments that resemble production topology, configuration, scale, and behavior—so reproducing issues and validating changes is faster and more reliable. - Enable production-representative workload testing: Build or evolve capabilities such as workload replay, realistic workload generation, multi-tenant testing, load testing, and stress testing to surface behaviors that only emerge at scale. - Drive failure-mode validation: Establish repeatable ways to test Temporal through real failure conditions (e.g., dependency failures, latency injection, resource exhaustion, degraded-state recovery, and regional failure scenarios). - Create shared frameworks and guidance: Provide opinionated testing frameworks, patterns, and tooling that make it easier for product teams to write high-quality tests consistently, with visibility into test health and systemic gaps. - Own system-level coverage outcomes: Identify critical system-level scenarios that need explicit coverage, drive them to completion (often through partner teams), and ensure they’re integrated into continuous and/or release validation. - Collaborate across org boundaries: Partner closely with Cloud/Infrastructure, Reliability, Release Engineering, and product teams to turn production learnings into stronger pre-production detection. WHAT YOU'LL BRING - Experience managing and developing a high-performing engineering team (including direct reports), with strong coaching, feedback, and performance management skills. - Strong technical background building or operating reliable distributed systems (or adjacent platform infrastructure) and the judgment to prioritize the failure modes that matter most. - Track record delivering internal platforms/tooling adopted by many teams—balancing ergonomics, speed, and long-term maintainability. - Comfort operating in ambiguous problem spaces where success depends on aligning stakeholders, clarifying ownership, and driving execution across multiple teams. - Ability to define and drive measurable outcomes (adoption, confidence signals, reduced escaped issues, faster incident-to-coverage time), not just ship tooling. NICE TO HAVE - Experience with large-scale testing practices: chaos engineering, fault injection, workload replay/shadowing, performance testing, or multi-tenant test strategy. - Experience partnering with Release Engineering or CI/CD platform teams to institutionalize validations in pipelines. - Familiarity with observability and incident response practices, and translating incident learnings into preventative test coverage. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: England; Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Secure Build builds and operates the infrastructure behind Docker's container builds. The team owns Docker Build Cloud and Docker Hub Automated Builds while developing the next generation of trusted build and CI capabilities. Its direction is to make Docker the trusted place CI runs: isolated execution, brokered access to secrets and networks, and verifiable evidence of what each build or test job did. The work spans Go services, container and build technology, cloud infrastructure, sandboxing and software supply-chain security, alongside the operational responsibility for production systems customers already depend on. SCS Services builds the backend systems and product capabilities that help developers understand, secure and ship software with confidence. The team powers important parts of Docker Scout and Docker Hardened Images, including the services and workflows that turn supply-chain data into useful developer, customer and agent experiences. Its estate is deliberately polyglot, with Clojure and Go services, event-driven workflows, Kafka, legacy Datomic components and newer Spanner-backed services. It also supports the customer journey around discovering, assessing, subscribing to and managing hardened artefacts. We are looking for one Engineering Manager to lead both teams. Together they sit at the centre of Docker's secure software supply-chain work: one creates trusted build outcomes, while the other turns build, artifact and dependency data into services and experiences used across Scout and Docker Hardened Images. This is a two-team leadership role with separate roadmaps, production responsibilities and technical domains. The teams should deliver independently, with explicit contracts and joined-up ownership where their services connect. You will own the health, delivery and growth of both teams and make the trade-offs that keep them effective as a portfolio. You will not be expected to be the deepest expert in every language or domain. You will need enough technical breadth and current engineering judgement to engage credibly in designs, reviews and incidents across both teams, set direction with strong senior engineers, and recognise when the right answer is to create space for their expertise. _______________________________________________________________________ THE KIND OF PERSON WE'RE LOOKING FOR The successful candidate leads first. They are an experienced engineering manager who can inherit two capable teams, earn trust quickly and help each become a high-performing, value-delivering part of the wider Docker organisation. They are deliberate about where they spend their attention, protect both teams from becoming the second priority, and make portfolio trade-offs visible rather than allowing urgency, proximity or the loudest stakeholder to decide. They stay close to the technical work without trying to own every technical decision. They can hold a substantive conversation about distributed backend systems, event and data pipelines, build and CI infrastructure, trust boundaries and production operations. They are active in design and review, useful during incidents and willing to get hands-on where that moves the work forward. The balance still tilts strongly to leadership, coaching, delivery and organisational judgement. They care about security as a product and engineering property, not only as compliance. They understand how modern attacks exploit identity, secrets, dependencies and build systems, and they can reason about the evidence customers need to trust an artefact or workflow. They lead through judgement, clarity and unblocking rather than ceremony for its own sake. Above all, they grow the engineers around them and help both teams ship outcomes developers and enterprises can rely on. _______________________________________________________________________ RESPONSIBILITIES - Lead Secure Build and SCS Services, owning delivery, team health, growth, performance and operational excellence across both. - Turn two changing roadmaps into a coherent portfolio plan with explicit priorities, capacity and trade-offs, and create leadership coverage so neither team becomes the permanent second priority. - Partner with Product to shape strategy and roadmaps for secure build, Docker Scout, Docker Hardened Images and the services that connect them. - Stay close to the technical work through design and code review, incident response and selective hands-on contribution where it adds leverage. - Ensure each team's technical direction supports product, security, reliability and customer priorities, setting it collaboratively with Staff and senior engineers while leaving clear decision ownership with them. - Own the interfaces between the teams, including trust boundaries, contracts, data quality, versioning, operational ownership and customer-facing failure modes. - Balance new product work with inherited systems and on-call, and invest in reliability improvements driven by recurring operational pain. - Own engineer growth and performance, handle difficult conversations directly, hire and retain strong people and build succession depth within both teams. - Align Product, Design, Security, DHI Content, Registry, Hub, sales, support, commercial and legal partners while shielding the teams from churn. - Lead disciplined use of AI-assisted engineering and communicate decisions, risks and progress clearly across UK and US working hours. _______________________________________________________________________ QUALIFICATIONS Required - 5+ years managing high-performing engineering teams, with meaningful responsibility across more than one team or distinct technical domain. - 8+ years of professional, hands-on software engineering experience in backend, infrastructure, platform or developer tooling. - Experience leading, growing and retaining engineers at or above your own technical seniority, including teams you did not build and difficult performance conversations. - A leader-first operating model, with current enough technical judgement to participate in design and review across unfamiliar systems without needing to be the best engineer in the room. - Experience prioritising across competing roadmaps, operational load and stakeholder commitments, with clear mechanisms for allocating attention and capacity. - Strong backend and distributed-systems judgement, including APIs, event-driven architectures, data stores, cloud-native infrastructure and production operations. - Understanding of CI or build-system internals, containers and artefact workflows, plus a strong interest in software supply-chain security and trust boundaries. - Experience leading teams that operate production infrastructure through on-call, incident response, observability, SLOs and the work required to reduce recurring operational load. - Strong product judgement and evidence of shaping roadmaps with Product rather than only receiving requirements. - Clear written and verbal communication, strong cross-functional influence, customer closeness and comfort leading a remote-first organisation across European and US time zones. Helpful, but Not Required - Experience with Go, Clojure or both, and evidence of becoming effective across a polyglot estate. - Experience with Kafka, Spanner, Datomic or comparable event-streaming and distributed-data systems. - Experience with OCI, BuildKit, Buildx, GitHub Actions or comparable build and CI platforms. - Experience with sandboxing, microVMs, untrusted workload execution or multi-tenant infrastructure. - Experience with SLSA, in-toto, SBOMs, VEX, Sigstore, cosign, provenance, signing or vulnerability scanning. - Experience evolving legacy systems while shipping new capability for developer tools, security products, regulated customers or software-agent workflows. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build relationships with every engineer and the Product partners for both teams before changing structure, process or roadmap. - Understand Secure Build's product direction, production estate and on-call load, including Docker Build Cloud and Docker Hub Automated Builds. - Understand the SCS Services products, customers, architecture and operational profile, and map the dependencies, trust boundaries and ownership lines between the teams. FIRST 90 DAYS - Own a coherent portfolio plan with both teams and Product, including explicit capacity for roadmap, reliability and cross-team work. - Establish a sustainable operating cadence and leadership coverage that prevents either team depending on your constant presence. - Agree ownership and escalation paths for shared services and failures, start one material improvement in each team and make progress and risk visible. ONE YEAR OUTLOOK - Both teams deliver predictably against a portfolio that connects secure build, Scout and Docker Hardened Images outcomes without collapsing their distinct missions. - Secure Build has delivered material trusted-build or secure-CI capability and reduced operational risk in its inherited production systems. - SCS Services has delivered material customer outcomes, while both teams have sustainable on-call, clearer ownership and senior engineers leading broader work. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$244,550 – CA$392,150 base United States: $174,900 – $282,700 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Limassol, Cyprus; Tbilisi, Georgia Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team We develop and implement machine learning and AI solutions across a range of products: AI assistants, customer support chatbots, intelligent data processing, generative AI features, recommender systems, spam detection, search and other ML-powered modules. Our goal is to build reliable ML and AI systems that solve real product problems — from experimentation and prototyping to production integration and continuous improvement. Responsibilities Designing and implementing ML and AI modules for various products, from experimentation and prototyping to production integration Building solutions based on LLMs and other ML/NLP approaches for data processing, generation, search, assistants, bots, agents and automation Choosing and evaluating appropriate approaches — including external AI providers, open-source or self-hosted models, as well as traditional ML/NLP methods Contributing to the architecture of ML solutions, shaping technical approaches and engineering standards Preparing and processing data, training models, running A/B tests, and analyzing results Monitoring and improving model performance, interpreting model behavior and key metrics Evaluating AI-system quality, analyzing failure cases and improving models, prompts, data and system architecture Collaborating with product managers, engineers, and analysts to clarify requirements, integrate solutions, and evaluate their impact Working with MLOps infrastructure: CI/CD, monitoring, logging, containerization What makes you the perfect fit 3+ years of experience in ML engineering and building production-ready ML systems Strong practical expertise in NLP, LLMs, AI assistants and related AI/ML areas Experience with both modern LLM-based systems and traditional ML/NLP approaches such as classification, ranking, retrieval, semantic similarity and information extraction Strong track record of delivering end-to-end ML solutions — from idea and data to production and support Proficient Python skills and experience with production-grade development Experience evaluating ML/AI solutions and understanding their quality, reliability, latency and cost trade-offs Solid knowledge of A/B testing and result interpretation Experience in architectural decision-making and a drive to improve engineering practices Familiarity with tools like Docker, Kubernetes, CI/CD systems, monitoring (e.g. Prometheus, Grafana), and logging Will be a plus Product-oriented mindset and understanding of business metrics Experience building real-time and high-load ML systems Experience with open-source or self-hosted models Familiarity with modern MLOps tools (e.g. MLflow, Airflow, Kubeflow) Experience evaluating the UX of AI-driven interactions What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Yerevan, Armenia We are looking for a Cinematic AI Creator (Contractor) : a filmmaker who works in generative models rather than with a crew. You will produce the cinematic work that demonstrates what our AI can do, including multi-shot sequences, launch films, campaign pieces, and genre and style showcases. You will also translate film craft into product. The camera language, lighting setups, film stocks, genre looks and transitions you work with are what our cinematic video features need to offer users. You will define those cinematic directions for the team to productise, and set the quality bar for the video work we ship. You will work closely with Product, Creative and Engineering, and will be among the first to test each new video model we get access to. Please note that this is a Full-time Contractor (6 months) role. How You'll Make an Impact Direct and produce cinematic AI content end to end: concept, story, shot list, generation, edit, sound and final delivery. Build multi-shot sequences with consistent characters, wardrobe, world, lighting and geography across cuts. Design each shot deliberately: lens, framing, blocking, lighting, colour and grade, and camera movement. Create the hero shots and set pieces that anchor a launch, and the showcases that demonstrate stylistic range. Define cinematic directions, including camera moves, lighting setups, film stocks, genre looks, transitions and VFX beats, specified clearly enough to be productised. Prototype new cinematic capabilities and prove what is possible before it becomes a feature. Set and document the quality bar for the video work we ship. Test each new video model on release, reporting on strengths, failure modes, prompt behaviour, motion quality and temporal consistency, and track where AI filmmaking is going. What You'll Bring A body of work: film, series or episodic work, commercials, music videos, short films, branded or short-form content; whatever best shows your craft, alongside AI-native work. Deep understanding of visual storytelling: story structure, plot, pacing, shot design, blocking, performance and the edit. Command of cinematography fundamentals (cameras, lenses, lighting, colour, grading, composition and camera movement), and the vocabulary to direct them precisely in a prompt. Hands-on experience with generative video models and how they behave in practice, and with the image models that feed them. Prompting skill for video: motion description, camera control, identity and style preservation, and first/last-frame and reference-driven workflows. End-to-end post capability in editing, grading and sound, and the ability to run a full production cycle alone. Awareness of internet culture and what makes cinematic content travel. The judgement to hold a quality bar, including on your own work. Fluency in English. Good To Have Background in VFX, animation, motion design, concept art or 3D (Blender, Cinema 4D, Houdini, Nuke, Unreal). Experience directing hybrid productions that combine live footage with generative work. ComfyUI or node-based video pipelines, and LoRA or character-consistency training. Interest in shaping AI creative tools rather than only using them. A public presence as an AI filmmaker or creator. #LI-MS1 What we seek and value most in our candidates Professionalism in both soft and hard skills; motivation to grow, learn and share, positive attitude, flexibility, transparency, ownership and the most important - passion and commitment. Picsart is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We are committed to providing reasonable accommodation to employees who have protected disabilities consistent with local law. Picsart, Inc. is an E-Verify Employer in the US. Please click here for the E-Verify Poster in English or Spanish . For information regarding your Right To Work, please click here for English or Spanish . For Applicants Based in California - California Job Applicant Privacy Notice ( https://rb.gy/lqu5mv) ABOUT US Picsart is the world’s largest digital creation platform and a top 20 most downloaded app . Every month, the Picsart community creates, remixes, and shares billions of visual stories using the company’s powerful and easy-to-use editing tools. Picsart has amassed one of the largest open-source content collections in the world, including free-to-edit photos, stickers, backgrounds, templates, and more. Picsart is available in 30 languages for free and as a subscription on iOS, Android, Windows devices and on the Web. Headquartered in Miami, with offices around the world, Picsart is backed by SoftBank, Sequoia Capital, DCM Ventures, Insight Partners, and others. Download the app or visit picsart.com for more information.

Location: United States Workplace: remote Sphere Labs The infrastructure moving the world's money today was built for another era: slow rails, walls between markets, and compliance layered in over time creating friction. Sphere Labs is building what comes next: modern, compliance-native infrastructure for cross-border payments and settlement, designed from the ground up to work for the businesses and regulated institutions it actually runs through. We work in active partnership with banks, licensed entities, and the regulators and jurisdictions shaping how global money moves, because the infrastructure that earns institutional trust has to be built alongside it. Backed by Coinbase, Kraken, The Chernin Group, Jump Trading, Hudson River Trading, and some of the world's largest sovereign affiliates, we're a fully remote, global team building at the moment stablecoins are crossing into mainstream finance and regulated institutions are ready for modern rails. We hire self-starters: strong communicators and systematic thinkers who can look at a blank page and build something real. If you want a meaningful role in how global money movement evolves, and the upside that comes with getting in early, we'd like to meet you. About the Role We are seeking an experienced Head of Compliance to build, mature, and lead our compliance program in a fast-paced, crypto-native environment. This role will partner closely with the product and engineering teams in order to automate the existing program into a scalable, highly embedded into the day-to-day operations of the business. This is a hands-on leadership role: the ideal candidate is a decisive operator who can write SOPs, work cross-functionally with Product and Ops to design guardrails for new business lines, manage a compliance program at scale (including nested onboarding flows with integrator/partner relationships), and mentor others  — all while combining deep AML/KYC/KYB expertise with a strong international regulatory background. Key Responsibilities Program Build-Out & Maturity: Evaluate the existing compliance program, identify gaps in adoption and execution, and scale it into a program that is well-used, well-understood, and embedded across the business. This includes evaluating the risks associated with new geographic areas, and enhancing the existing program to account for those findings. SOP Development: Write clear, actionable Standard Operating Procedures that translate policy into repeatable, auditable day-to-day practice. Product & Ops Partnership on New Business Lines: Partner with Product and Operations to identify compliance requirements for new initiatives before they launch. Day-to-Day Compliance Operations: Own and manage the organization's daily compliance activities, ensuring consistent application of policies, procedures, and regulatory requirements. Transaction Monitoring & Alert Disposition: Review, investigate, and disposition alerts generated by the transaction monitoring system (built and maintained by the Risk team), ensuring timely and well-documented decisions. Cross-Functional Partnership with Risk: Work closely and collaboratively with the Risk, Compliance, Product and Operations teams to align on system design, alert logic, thresholds, and escalation processes. Complaints Management: Support the handling of complaints filed with regulatory bodies, ensuring timely, accurate, and well-documented responses. Sales & Customer Onboarding Support: Partner with the Sales team on customer onboarding to ensure new relationships meet compliance and risk standards from day one. Law Enforcement Requests: Support law enforcement inquiries and requests, ensuring appropriate handling, documentation, and legal coordination. Investigations & SAR Filing: Lead internal investigations into suspicious activity and prepare and file Suspicious Activity Reports (SARs) in accordance with regulatory requirements. Team Development: Train, mentor, and develop current and future junior compliance team members, building a strong bench of compliance talent. Qualifications Proven experience building or significantly maturing a compliance program from the ground up, ideally within crypto, fintech, or financial services. Track record of meeting compliance SLAs and operating with strong, auditable rigor. Experience managing a compliance program at scale, including nested/multi-layer onboarding flows involving integrator or partner relationships Strong, hands-on knowledge of AML, KYC, and KYB frameworks and regulatory requirements. Direct experience with transaction monitoring systems and alert disposition/investigation processes. Demonstrated experience conducting investigations and filing SARs. Crypto-native — deep familiarity with digital assets, blockchain transactions, and the unique compliance challenges of the crypto industry. Highly decisive, with the judgment to make timely calls in ambiguous or high-stakes situations. Ability to write clear, effective SOPs and translate policy into practice. Excellent cross-functional collaboration skills, particularly with Risk, Product, Ops, and Sales teams. Excellent judgment, attention to detail, and ability to operate independently in a fast-moving environment. Why Sphere? We sit at the intersection of crypto infrastructure and regulated finance — at the moment those worlds are finally converging. That means: The window is now: For the first time in decades, the backbone of cross-border payments is being rebuilt. Legacy systems are fading, stablecoins are entering institutional finance, and the next settlement layer is being shaped right now. We're building it alongside the institutions that will run it, not around them. High ownership, no playbook: This is early-stage work. You’ll be making decisions, building processes from scratch, and setting the direction instead of just following one. We’re looking for people who don’t wait for instructions, but jump in and figure things out. Adaptability is the job: Strategy pivots here aren't failures, they're how we stay ahead of a fast-moving market and that’s our strength.  Real traction, real stakes: SpherePay is live and trusted by 200+ businesses. SphereNet is in active development with banks and regulators across 18 jurisdictions and counting. There’s real demand, real momentum, and a huge opportunity to shape what comes next.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is bringing data center capacity online faster than the industry has ever attempted, and the owner-furnished equipment (OFE) that makes a site live — switchgear, transformers, UPS, generators, busway, PDUs, chillers, CDUs, air handlers, dry coolers, pumps and piping skids — is long-lead, high-value, and sits squarely on the construction critical path. When a transformer slips three weeks at the factory, a data hall slips three weeks at the site. We're hiring a Supply Chain Delivery Manager to own that equipment from purchase order to dock. You will be the site-facing supply chain lead for a regional portfolio of data center projects: tracking every OFE line item against the construction schedule, running factory and logistics escalations with OEMs, holding suppliers and general contractors accountable for delivery performance, and giving leadership a clear, converged picture of delivery risk across the portfolio. Your job is to make sure equipment production and delivery are never the reason a site misses its ready-for-service date. This is a senior individual-contributor role on the Compute DC Infrastructure team, working daily with Construction, Electrical and Mechanical Engineering, Strategic Sourcing, Commissioning, and our general contractors and OEMs. It is not a category-management or negotiation role — Sourcing owns supplier strategy and commercial terms — and it is not a people-management role. The emphasis is execution: schedules, escalations, logistics, and site readiness. What You'll Do Delivery planning and schedule integration Own the end-to-end OFE delivery plan for each site in your portfolio: order placement, engineering submittal/approval milestones, production slots, FAT dates, ship dates, and required-on-site (ROS) dates, integrated with the GC's construction schedule. Engage during preconstruction with Construction, Engineering, and the GC to set OFE delivery expectations, sequence equipment arrivals to the build, and identify schedule risk before POs are cut. Lead OFE kickoff meetings at the site level with the GC and internal construction teams, establishing points of contact, delivery windows, receiving requirements, and escalation paths. Maintain the single source of truth for OFE status across the portfolio — a live tracker of every line item, its milestone dates, and its risk rating. Supplier execution and escalation Run weekly delivery cadences with OEMs and integrators on open orders; verify production progress against committed slots rather than accepting reported dates at face value. Act as the primary escalation point for factory slips, component shortages, FAT failures, and shipping delays; drive recovery plans (expedites, partial ships, resequencing, alternate sources) with Sourcing and Engineering. Partner with Sourcing on corporate-level supplier escalations, bringing site-level schedule intelligence to commercial conversations. Hold GC OFCI teams accountable for receiving, storage, and installation-readiness performance; manage the change/claim process when delivery issues affect the GC's schedule. Logistics and site readiness Plan and coordinate transportation for oversize/overweight and high-value equipment — carrier selection, route surveys, permits, crane and rigging coordination — with our logistics partners and the GC. Manage laydown, staging, and interim storage decisions when site readiness and equipment arrival diverge; coordinate with Quality and Commissioning on receiving inspection and storage/preservation requirements. Ensure equipment arrives complete — accessories, spares, documentation, and vendor startup support scheduled — so installation and commissioning are not delayed by missing pieces. Risk management and reporting Identify, triage, and report delivery risks across the portfolio; propose solutions and drive decisions to protect capacity milestones. Establish and lead recurring Capacity Delivery Reviews giving leadership converged visibility into OFE delivery status and risk by site and by equipment category. Track delivery KPIs — on-time-to-ROS, schedule drift by supplier and category, escalation cycle time, expedite spend — and use them to surface systemic issues. Feed lessons learned back into Sourcing (lead-time assumptions, contract delivery terms, buffer strategy) and Construction (ROS sequencing) to improve the next program. Who You Are 8–12+ years in supply chain delivery, equipment expediting, construction management, or infrastructure program management on large-scale, schedule-driven construction programs. Hands-on experience delivering power and/or cooling equipment for mission-critical facilities — transformers, switchgear, generators, UPS, busway, chillers, CDUs, air handlers — and familiarity with how those OEMs actually build and ship. You've managed cross-functional escalations across construction teams, suppliers, and internal partners, and you know when to expedite, when to resequence, and when to escalate commercially. Comfortable reading and influencing construction schedules (P6 or MS Project) and tying equipment milestones to them. Strong written and verbal communication — you can turn a messy delivery problem into a one-page recommendation for leadership. Data-fluent: you build and maintain trackers and dashboards, and you'd rather look at the numbers than trust a status email. Thrive with high autonomy in a fast-moving, ambiguous environment; you own outcomes, not just updates. Bachelor's degree in Supply Chain, Engineering, Construction Management, or a related field, or equivalent experience. Nice to Have Experience with hyperscale or AI data center construction and OFCI (owner-furnished, contractor-installed) delivery models. Experience supporting multiple concurrent projects (5–10+) across a regional portfolio. Working knowledge of FAT/SAT and commissioning workflows and how equipment documentation gates them. Heavy-haul / project logistics experience, including international freight, customs, and Incoterms. Technical understanding of data center electrical distribution and cooling system design. Familiarity with ERP/procurement systems and analytics tools (SQL, Power BI/Tableau, Smartsheet/Procore). PMP, CSCP, or similar certification. Logistics Location: [San Francisco / hybrid, or remote US near the regional portfolio?] Travel: [up to 40%] to construction sites in the regional portfolio and to supplier factories as needed. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. The Opportunity As a Staff Engineer on our Distributed Systems team, you'll be at the core of what makes Fanatics Markets work — the event-driven infrastructure that powers real-money trading at scale. This is a hands-on, high-ownership role on a sprint-based team, where you'll work alongside our engineer leaders to build the systems that keep our markets liquid and our book healthy at peak volume. Real money is on the line every time our system quotes a price — the work is technically demanding, commercially consequential, and directly visible in daily P&L snapshots the whole team sees. You won't be handed a spec. You'll be expected to understand the trading business well enough to write one, and to care about outcomes beyond just shipping the feature. Responsibilities Design, build, and scale distributed systems using Kotlin, Java, and Spring Boot, architecting for the traffic spikes and concurrency demands of a live real-money trading platform. Own the development and optimization of high-throughput event pipelines using Kafka, including partition strategy, consumer group design, and exactly-once processing guarantees. Design and build systems that process high-throughput, low-latency event streams — ensuring data integrity, cache coherence, and sub-millisecond read paths under peak load. Partner with product and engineering leadership to align cross-domain technical decisions, contributing domain expertise while preserving architectural integrity Diagnose and durably fix production issues in a live trading environment, distinguishing pricing latency, strategy misfires, mapping errors, and adverse selection patterns Proactively identify performance bottlenecks and technical risk before they affect trading operations Raise engineering standards through design docs, code/architecture reviews, and patterns that scale as product expands Qualifications 7+ years building scalable, fault-tolerant distributed systems in production Expert-level proficiency in Java or Kotlin and Spring Boot, with a strong command of modern API design — REST, gRPC, and Protobuf. Deep hands-on experience with Kafka (or Redpanda/Pub Sub) — including internal mechanics, partition strategies, consumer group rebalancing, and delivery guarantees. Deep experience with event-driven architecture and async messaging — consumer group strategies, partition schemes, delivery guarantees under real production load Demonstrated end-to-end domain ownership — designed, built, operated, and improved systems, not just shipped features Strong performance instincts — latency, throughput, and data pipeline efficiency, with a track record of measuring what matters Clear, direct communicator — comfortable writing a design doc, explaining a production failure to a trader, or debating trade-offs with a principal engineer High tolerance for ambiguity and speed — comfortable deploying daily and making good calls while the spec is still being written. Preferred Experience with real-time delivery systems — WebSocket fan-out, server-sent events, or pub/sub at scale. Familiarity with financial platforms, real-time trading systems, or prediction markets. Experience in a high-growth startup environment where ownership is broad and the technical landscape evolves quickly. Familiarity with FIX protocol or exchange connectivity patterns. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-Remote #LI-AL1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $180,500 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | San Francisco, CA | Lisbon, Portugal | London, UK About the Department Cloudflare's Enterprise Integrations Engineering Team designs, builds, and maintains integrations across the SaaS applications used throughout the organization. We're increasingly applying AI, from agentic workflows to LLM-assisted development and automated diagnostics, to build integrations faster, operate them more reliably, and reduce manual toil across the team. Our mission is to create scalable, reliable, and intelligent systems that ensure data flows securely and efficiently between platforms, and to use AI as a force multiplier for how we design, build, and support that work. Our team is highly collaborative, values continuous learning, and supports each other through shared ownership and open communication. We work closely with both technical and business teams, conduct regular retrospectives, and are actively evolving how AI tooling changes the way we plan, build, test, and troubleshoot integrations. What You’ll Do We’re looking for a Principal Engineer to establish technical direction across Enterprise Applications and help teams turn that direction into reliable, incremental delivery. You’ll design systems, lead complex cross-team initiatives, influence engineering practices, and remain hands-on with implementation where your contribution has the greatest leverage. This role requires navigating ambiguity, adapting technical strategy as conditions change, and building alignment across engineering and business stakeholders. You’ll model responsible AI-assisted engineering, operational excellence, sound judgment, and attention to detail. Responsibilities include: Establish and communicate technical strategy across multiple teams, translating long-term direction into incremental delivery plans. Lead complex, cross-functional initiatives from problem definition through architecture, implementation, deployment, and operation. Influence technical decisions across teams through design reviews, prototypes, standards, mentoring, and hands-on contributions. Build and extend AI-enabled systems, including agents, evaluation frameworks, MCP servers, and workflow automation. Determine when AI is appropriate and when deterministic software offers a safer, simpler, or more reliable solution. Establish practices for evaluating AI systems, including quality, reliability, security, cost, latency, and human oversight. Improve engineering effectiveness through reusable platforms, operational tooling, automated diagnostics, and development workflows. Partner with business and technical stakeholders to convert ambiguous problems into clear technical strategies and measurable outcomes. Desirable Skills, Knowledge, and Experience: Bachelor's degree in Computer Science or related field, or equivalent work experience 10+ years of professional software engineering experience as a guideline Proficiency in at least one backend language. Experience with LLM APIs (Anthropic, OpenAI, etc.) Experience with AI guardrails/governance best practices Demonstrated experience delivering AI-enabled systems beyond experimentation. Candidates should be able to explain their individual contribution, evaluation approach, production constraints, failure modes, and measurable outcomes. Demonstrated experience influencing technical culture and best practices without authority. Familiarity with integration patterns (pub/sub, API-first, CDM, batch processing) Experience working with stakeholders to solve business problems through integration or automation solutions Experience building APIs with proper security and operational practices Experience with observability tooling (e.g. Grafana, Prometheus, Sentry, Kibana, Splunk or similar) Working familiarity with containerized/cloud environments (Kubernetes, or equivalent cloud-native experience) Experience with serverless computing platforms (e.g. AWS Lambda, Google Cloud Functions, Azure Functions, or Cloudflare Workers) Experience with GitLab or other CI/CD tooling Willingness to participate in an on-call rotation for roughly one week every two months Bonus Points: Experience with business financial systems, such as Oracle or NetSuite Experience with PostgreSQL Experience with Cloudflare Developer Platform (Workers, Workflows, D1, etc.) Experience with Go, Python and TypeScript Compensation Compensation may be adjusted depending on work location. For Portugal-based hires: Estimated annual salary of €79,000-€109,000 For Bay Area based hires: Estimated annual salary of $230,000 - $317,000 Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote Workplace: remote 🌎 About Us TeamSnap is made up of innovators, technologists, builders, and problem-solvers shaping the future of youth sports. We’ve been setting the standard in youth sports technology since we were founded in 2009.  We hire for big ideas and tiny egos — which is part of how we landed on Outside Magazine's Best Places to Work, Built In's 100 Best Remote-First Places to Work and, for several years running, Sports Business Journal’s Best Places to Work in Sports.   TeamSnap is seeking a Staff Software Engineer, Backend, to join our fully distributed engineering team and help us continue scaling systems that serve millions of daily users and tens of thousands of amateur sports organizations. Our primary backend stack includes Node and TypeScript, alongside Elixir, SQL, cloud-based services, event-driven systems, queues, background jobs, caching layers, and observability tooling. We are looking for a hands-on Staff Backend Engineer with deep, meaningful production Node experience who can build and improve APIs and services, reason through production issues across the system, lead technical design in ambiguous areas, mentor engineers, and raise the quality bar across the team. This person should bring strong systems thinking that connects application architecture with infrastructure, platform, data, security, and other adjacent domains, bringing those teams into architecture and solutioning conversations early without being expected to own those functions directly. As an engineering team, we architect and build scalable systems using service-oriented and event-driven architecture. This role will help shape the technical foundation behind TeamSnap’s product experience, with a focus on backend systems, APIs, services, data performance, reliability, observability, and production quality. What You'll Do: Architect, build, and evolve backend APIs, services, event-driven workflows, queues, background jobs, data models, caching strategies, and integrations that support millions of users and thousands of sports organizations. Own complex backend product and technical work from discovery through design, implementation, rollout, production support, and long term maintainability. Lead ambiguous technical initiatives by breaking down problems, identifying risks, making practical tradeoffs, and helping teams move from uncertainty to clear execution. Provide technical leadership across our Node ecosystem by advancing shared patterns, standards, tooling, and practices, and helping engineers make better Node-specific architectural and operational decisions. Connect application architecture with platform, infrastructure, data, security, observability, and other adjacent domains, identifying concerns early and bringing the right teams into architecture, solutioning, and scaling decisions. Improve the reliability, scalability, performance, and operability of production systems through thoughtful architecture, strong testing practices, database optimization, caching, monitoring, alerting, and incident follow-up. Debug complex production issues by reasoning across application code, databases, caches, queues, jobs, observability data, and the broader request lifecycle. Partner with Product, Design, Engineering, Infrastructure, Platform, Data, Support, and other teams to turn roadmap needs into durable backend systems and practical delivery plans. Strong interpersonal skills with the ability to give and receive constructive feedback, mentor engineers, influence cross-team alignment and articulate technical trade-offs to non-technical stakeholders What Will Set You Up for Success: Staff level backend engineering depth, with deep, meaningful production Node experience at scale and a strong track record of architecting, building, operating, and improving complex backend systems. Deep Node and TypeScript experience, including strong understanding of runtime behavior, concurrency, failure modes, performance characteristics, production debugging, and the architectural tradeoffs involved in operating Node systems at scale. Strong systems thinking, with the ability to connect application architecture and runtime decisions with platform, infrastructure, data, security, observability, and other adjacent domains, bringing those perspectives and teams into the process early as systems are architected, built, and scaled. Strong SQL and relational database judgment, including indexing, query optimization, migrations, profiling, data modeling, transactions, read and write patterns, and performance tuning. Practical understanding of service-oriented architecture, event-driven architecture, queues, background jobs, webhooks, Redis or similar caching tools, and systems that need to scale under real production load. Working knowledge of production infrastructure and platform concerns, enough to reason through deployments, containers, CI/CD pipelines, cloud services, networking basics, observability, and operational debugging. Strong production ownership mindset, with the ability to use logs, metrics, traces, dashboards, alerts, incident reviews, and system behavior to improve reliability over time. Demonstrated ability to lead through influence, mentor engineers, facilitate technical decisions, communicate tradeoffs clearly, and connect backend technical choices to customer impact, business needs, and long term maintainability. Bonus: Previous work in or close partnership with infrastructure, platform, SRE, DevOps, or data teams. Elasticsearch experience, particularly operating, scaling, troubleshooting, or designing search and indexing workloads in production. Familiarity with BigQuery, analytics pipelines, reporting workflows, or high-volume data processing. Responsible use of AI-assisted engineering workflows to improve debugging, testing, documentation, refactoring, prototyping, or developer experience without compromising quality or understanding. Got cold feet? If you’re thinking you don’t meet 100% of the above qualifications, you should still seriously consider applying. We’re all humans with special talents that go beyond what’s listed here.   Compensation We’re committed to equitable compensation for all TeamSnappers. The minimum starting point for this role is $200,000 inclusive of base and bonus, with comp updated based on multiple factors. Our comp is highly competitive in our space and we adjust overall comp based on relevant experience, skills, certifications, and geographic location.  🖥 Location TeamSnap is a fully remote company, so you'll need to be comfortable working with people in other time zones. We're always expanding, but we can't currently hire in Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota, West Virginia, or Utah. We can only hire permanent US residents at this time. 🚀 Opportunities to Grow We work hard on a culture built on trust, accountability, and inclusion — one where you can take on more, make a lasting impact, and have some fun doing it. 🎩 Total Rewards Remote-first since 2009 Flexible PTO and parental leave 100% premium coverage of medical, dental, and vision for you and your family 401(k) to invest in your future $1,500 annual learning and development reimbursement Travel to all-company meetings and team events Generous home office allowance TeamSnap swag when you start, plus a $50 store credit on every work anniversary Monthly health and wellness reimbursement, and more TeamSnap Total Rewards 🏆  Award-winning Culture At TeamSnap, you're not a culture fit – you're a culture add. Read our Culture Playbook to see how we play, what we ask of each other, and what drives us. 🧡 Inclusion and Diversity Creativity and innovation don't come from cookie-cutter teams. We hold ourselves accountable for building a culture where everyone is valued. Need any accommodations during the interview process? Just ask. We are an Equal Employment Opportunity Employer. AI Notice We may use AI tools to support parts of the hiring process, such as reviewing applications and resumes or assessing responses. These tools assist our recruitment team; they don't replace human judgment, and final hiring decisions are made by people. Contact us if you'd like more information about how your data is processed.

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YO Box is looking for a Senior Technical Duty Officer - a Senior Incident Commander with a strong Site Reliability Engineering (SRE) skillset and proficient Python for tooling and automation. The GTOC (Global Technical Operations Center) team protects the customer experience, and responsible for detecting customer-impacting failures early, drive rapid mitigation when they occur, coordinate production change risk, and continuously improve how Box runs incidents. In this role, you will be leading critical and blocker incidents and driving them to swift resolution, while leveraging your software engineering expertise to design and build the tools, automation, and processes that define the next generation of cloud operations. You will shape how we improve manageability, observability, and resiliency of our most critical services, and drive down MTTx so that when incidents happen, we respond faster and smarter than ever before. WHAT YOU'LL DO Own and direct live-site Critical and Blocker (and other high severity) incidents from identification and escalation through mitigation and recovery. Triage, refine, and verify the problem and customer-impact statements. Organize the incident bridge, establish clear swim lanes, coordinate SME’s resources, and lead cross-functional Incident Bridges to mitigate issues and restore service quickly. Improve Incident Platform tooling - Optimize templates, automate repetitive response steps, and develop tooling to reduce operational overhead and time to mitigate. Partner with SRE and engineering teams to deepen shared knowledge of Box's dependencies, Tier 1 journeys, failure modes. Work together to implement secure, automated workflows that close operability gaps. Lead daily change reviews of planned changes in Jira, partnering collaboratively with engineering teams to evaluate and minimize change risk. Provide day to day technical expertise and experience to the organization to address issues in globally diverse, 24x7 environments - influencing from policy and procedural decisions to key architectural and tooling insights to improve Box's Incident, Change, and Problem Management engineering capabilities. Lead projects to improve tools and processes related that enhance overall site resiliency, service manageability and observability. Represent GTOC/NOC in problem management, readiness reviews, and reliability in cross functional forums. Turn incident learnings into actionable engineering asks (such as SLOs, signal quality, rollback readiness, dependency docs) to reduce customer impact. Leverage observability APIs, PagerDuty/Jira, and internal services to make response workflows measurable and repeatable. Continuously mentor and uplift the team by running tabletop exercises and improving runbooks. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 5+ years in SRE, production operations, reliability engineering, or equivalent high-scale internet/SaaS operations with repeated experience leading or co-leading major production incidents. Demonstrated Incident Commander / Technical Duty Officer (or equivalent) skill: calm under uncertainty, clear communication, ability to delegate, and judgment on when to escalate vs. when to dig deeper. Strong SRE fundamentals: SLIs/SLOs and error budgets (practical use), observability (metrics, logs, traces), golden signals, blameless postmortems, toil reduction, and “you build it, you run it” partnership with product teams. Proficient in Python for automation and tooling (not just one-off scripts): readable code, APIs, packaging or service-style tools others can run, and comfort reviewing others’ automation. Solid Linux/Unix troubleshooting; comfort in multi-tier distributed systems (app, data, network, cloud). Networking literacy sufficient for real incidents (DNS, TLS, load balancing, HTTP, basic routing/firewall concepts). Experience with cloud environments (GCP preferred; AWS/Azure also valued) and container/orchestration concepts (Kubernetes or equivalent). Excellent written and verbal communication: exec-ready impact statements, precise Slack/bridge facilitation, and documentation that others can trust under stress. Proven ability to coach and uplift others — training, mentoring, runbook quality, drills. Preferred skills Experience in a 24x7 NOC / GTOC / follow-the-sun operations center, or partnering closely with one. Hands-on with Prometheus-compatible observability (e.g. Chronosphere, Grafana), distributed tracing(e.g. SignalFx), synthetic monitoring (e.g. Catchpoint), and PagerDuty (or similar). Experience improving incident tooling (ChatOps, workflow automation, status/comms templates, drill frameworks). Familiarity with change management under pressure (emergency changes, break-glass, CAB/async approval patterns). Additional languages or tooling useful for ops automation (Go, shell, Terraform, CI/CD). Prior work mapping dependency graphs, service catalogs, or Tier 1 journey documentation. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $187,000 — $233,500 USD

Location: Minsk Workplace: hybrid We are seeking a Senior Full-Stack Engineer  to join our distributed engineering team. IDT/NRS builds the Point of Sale platform that runs tens of thousands of independent retail stores across the United States. We are now expanding that platform into restaurants.  If you like challenges where the hard part is getting it right at scale rather than getting it working once, this is that job! Primary location - Minsk, Belarus (hybrid - 3 days/week in the office)! What you will own: Architecture and delivery of new restaurant facing services, from data model to API to the screens merchants actually touch. The merchant facing restaurant surfaces: kitchen display and everything staff touch across the life of an order. Extending and hardening existing production services without destabilizing them. Correctness under concurrency: transactional integrity, isolation levels, idempotency, race conditions, retries, and honest tradeoffs where perfect guarantees are not available. Behavior when the connection drops. A store keeps serving whether or not the network is up, which means offline capable clients, local state, sync on reconnect, and reconciling what happened while the system was split. Queueing and asynchronous processing, background jobs, and event driven flows. Safe rollout of releases that reach tens of thousands of users. Working directly with product managers and designers to shape what gets built, not just receiving requirements and implementing them. Technical direction and code review for other engineers, including the judgment to say when a design is wrong and the credibility to make that stick. Required Qualifications: 6-8+ years building full-stack products , including time as the senior person on the work. Deep Node.js and TypeScript experience across the full-stack , with production services you designed and still stand behind. Deep understanding of REST API design and microservices. Strong relational database skills, Postgres or MySQL : schema design, indexing, query tuning, transactions, and what actually happens under load. Comfort with non relational stores such as Redis or MongoDB, and with caching and invalidation. Experience with queues and streaming, whether Kinesis, Kafka, RabbitMQ, SQS, BullMQ, or similar, including the failure modes that come with them: ordering, duplicates, replay, and consumer lag. Front- end skill that matches the environment: our team use these screens during a rush, on a terminal or a tablet, with no time to think and no tolerance for a bad interaction. We use Vue. Experience with React or Angular is fine , as long as it includes component architecture, state management, and progressive web apps. Real time interfaces built on websockets, ideally socket.io. Order flow and kitchen display depend on it. Excellent debugging. You can take an unfamiliar production failure and reason your way to root cause instead of guessing. Parts of the existing platform are PHP. Working effectively in unfamiliar code, with AI, is part of this job. Experience deploying services that scale horizontally, tolerate a failed instance or a slow dependency, and automatically add or shed capacity. Comfortable on Linux, and fluent with Git and CI and CD workflows. Excellent written and spoken English. You will be in daily conversation with teams in the United States and Israel, and will often be the person explaining a technical decision to people who did not attend the design discussion. How you work: AI first. You use AI tooling as a core part of how you engineer: mapping an unfamiliar codebase in hours instead of weeks, pressure testing your own designs, moving faster without lowering the bar. You apply it across the whole lifecycle: shaping a design before any code exists, writing and refactoring, reviewing your own work, as well as automated PR reviews. You jump in. Handed a large, complex, unfamiliar repository, your instinct is to open it and start reading. Complexity and sensitivity are reasons to be careful, not reasons to wait for someone else. You build services that stay maintainable. Clear boundaries, readable code, tests that earn their keep, observability that makes production legible. The next engineer should be able to operate what you built without a tour guide. You think about the person on the other side. During a rush, a confusing screen or one extra tap is not a cosmetic problem. It is a slower line and a worse night for the staff. You go the extra mile. You follow a problem to its actual end, including the parts nobody assigned to you. You take pride in the work and you care how it lands for the merchant on the other side of the screen. What We Offer: Hybrid in Minsk work opportunity! Stable job with long-term growth perspective. Competitive salary with annual performance review. Top-tier hardware to support your productivity. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk and Chisinau office employees. About us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues. We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. About NRS: National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada. NRS is now expanding into a completely new vertical: restaurant technology. We are building a brand-new Restaurant POS platform, a modern and highly capable system designed specifically for restaurant operations. This is one of the most significant product expansions in NRS history and will open a major new market for the company. This is a real opportunity to help build something new and important. It seems like you are interested if you are here, so let’s chat!

Location: Al Jubail, Saudi Arabia Eram Talent is hiring for a Mechanical Manitenance Engineer - HVAC with core experience in Petrochemical Plants. The candidate would be responsible for maintaining the reliability, availability, and performance of HVAC and Mechanical Refrigeration Units (MRUs) serving critical petrochemical facilities. Leads preventive and predictive maintenance programs, troubleshooting activities, root cause investigations, reliability improvement initiatives, and spare parts optimization to ensure safe and uninterrupted operation. Key Responsibilities ·         Extensive experience in maintaining, troubleshooting, and optimizing HVAC, chiller, and industrial refrigeration systems in petrochemical and process plant environments. ·         Hands-on expertise with Mechanical Refrigeration Units (MRUs), centrifugal, screw, and reciprocating chillers, AHUs, package units, ventilation systems, compressors, condensers, evaporators, pumps, and refrigeration control systems. ·         Diagnose and resolve mechanical, electrical, instrumentation, refrigeration, and control-related failures to ensure maximum equipment availability and reliability. ·         Analyze operating parameters including temperature, pressure, flow, superheat, subcooling, and compressor performance to identify system abnormalities and implement corrective actions. ·         Perform equipment performance evaluations, condition assessments, and reliability improvements to minimize downtime and optimize energy efficiency. ·         Proficient in interpreting HVAC/refrigeration schematics, P&IDs, electrical drawings, and OEM technical documentation. ·         Experienced in Building Management System (BMS) and HVAC control systems, including monitoring equipment performance, troubleshooting control logic , analyzing alarms, optimizing system operation, and integrating HVAC assets with centralized monitoring and control platforms. Perform RCI investigations for critical and repetitive equipment failures. Implement corrective and preventive actions to improve equipment reliability. Preventive & Predictive Maintenance Develop and optimize preventive maintenance programs based on equipment criticality and reliability data. Ensure timely completion of maintenance plans and work orders. Spare Parts Management Review and optimize HVAC spare parts inventory. Identify critical and insurance spare parts requirements. Establish minimum and maximum inventory levels based on risk and lead times. Coordinate with procurement and warehouse teams to ensure spare availability. Support obsolescence management and spare part standardization initiatives. Safety & Compliance Ensure compliance with company safety regulations and engineering standards. Participate in PSSR, risk assessments, and incident investigations when required. Support process safety requirements related to HVAC systems serving critical occupied buildings. Requirements Minimum of 10 years experience in petrochemical, refinery, oil & gas Bachelor Degree in Engineering HVAC, Chillers & Industrial Refrigeration Systems Maintenance & Troubleshooting MRU Operation and Maintenance Reliability Engineering Preventive & Predictive Maintenance RCI Spare Parts Optimization Building Management Systems (BMS)

Location: Atlanta, GA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $150,000–$250,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Atlanta, US Austin, US Denver, US New York, US Seattle, US Washington DC, US Amsterdam, Netherlands London, UK Applications will be accepted until November 19, 2026. About the role Quicksilver is Cloudflare’s globally distributed key-value store. It replicates our data all around the world, over tens of thousands of servers and over 500 data centers. It handles all kinds of network conditions and serves billions of keys per second. In this role, you can expect to see challenges like unexpected network issues, hardware failures, kernel bugs and still have to deliver the data to the edge in a fast and reliable way. Along with the rest of the team, you will own and support the whole stack: the code base, the unit and integration test, deployment and rollback plans, operations, monitoring, alerting, debugging and on-call. Quicksilver is written in Go and C. If working at this scale excites you and you are intrigued by very tricky bugs, rather than being scared by them, you might be a match for this role. This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed. What you'll do Work on our distributed large scale key-value store, you will write new features in Go and reviewing pull request Improve performance, CPU, memory usage, etc. Improve our monitoring and our tools, all written in Go Help with debugging and investigating hard to reproduce problems Desirable Skills, Knowledge, and Experience: You have previous experience writing robust systems, code quality, performance and technical debt. You understand the tradeoffs that doing rigorous engineering requires. You have proven experience with storage systems, peer to peer systems, large scale distributed systems or simply system programming in general. You have previous experience of chasing problems through multiple layers of our software stack. You can be flexible and you are very curious. You are flexible and very autonomous. You won’t be micromanaged in this role and will be looked to have experience thinking out of the box and coming up with simple and smart designs for complex issues. You have a previous track record of being pragmatic and believe in the value of simple solutions. You equally enjoy low-level and high-level programming. You have a taste for programming languages. You enjoy being a part of a team that challenges each other's designs -- you are good at taking and giving constructive criticism with a goal of producing the best solution. You are not afraid of engaging in outages on anti-social hours. Compensation Compensation may be adjusted depending on work location. For Colorado based hires: Estimated annual salary of $168,000 - $231,000 For New York City based hires: Estimated annual salary of $185,000 - $254,000 For Washington based hires: Estimated annual salary of $185,000 - $254,000 For Washington DC based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.