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Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Engineering Manager Location: Remote US Compensation Range: $200,000 - $220,000 base plus bonus and equity What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. What You’ll Do: The Huntress team seeks a Staff Software Engineer to join our SOC Experience team. This team builds the human-analyst side of Huntress’ SOC platform: the investigation and triage experience analysts use to work a case, the remediation actions they take, the queues that route and prioritize incoming work, and the customer-facing reporting that closes the loop with customers. Your contributions will help Huntress improve analyst efficiency, reduce toil, and drive customer outcomes as we scale protection for the 99% . As a Staff Software Engineer, you’ll provide technical leadership across this surface area: shaping architecture and design direction, converting ambiguous requirements into functional workflows and data models, raising the bar on code quality and testing, and mentoring engineers across the team. You’ll partner closely with Product, UX, and SOC stakeholders to turn operational pain points into reliable, auditable systems, and you’ll go deep in the code yourself. This is a full-stack role with real front-end weight: the analyst experiences you’ll build are data-dense, interactive interfaces, and you’ll set the bar for front-end quality as well as the back end. Responsibilities: Provide technical leadership across the SOC Experience surface area: investigation and triage experience, remediation actions, queues, and customer-facing reporting. Lead and develop high-quality software, software designs, and architecture Design and build analyst-facing interfaces end to end, from data model to browser, and set the standard for front-end quality (usability, performance, accessibility, reusable patterns) in partnership with UX Set the standard for engineering excellence on the team through code review, test plan review, and hands-on pairing Lead security-by-design reviews of designs and code Focus on the full lifecycle of the systems you build, including evolution, configuration, and risk management, not just initial delivery Share ownership of delivery, reliability, and uptime for the features you build, with observability and test automation built in Mentor engineers across the team to help them grow into harder problems Balance technical rigor with pragmatism: push back when a shortcut creates real risk, and push back on over-engineering when the goal is discovery or speed Partner with Product, UX, and SOC stakeholders to turn operational pain points into reliable, auditable systems What You Bring To The Team: 10+ years of experience developing complex software products 5+ years of programming in Ruby on Rails Strong front-end fundamentals (JavaScript, HTML, CSS) and experience building complex interactive UIs with modern component-based frameworks; today’s stack is Hotwire, Turbo, and Stimulus, but you can reason outside that box Experience with AWS or other public cloud environments, and Linux-based infrastructure Experience with relational databases such as Postgres Experience with AI coding tools, such as Claude Code Preferred Qualifications: Experience with ClickHouse Experience building cybersecurity products, or building/operating a SOC platforms Experience with Hotwire, Stimulus, Turbo What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response. If you have questions about your personal data privacy at Huntress, please visit our privacy page #BI-Remote Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: USA - Remote Workplace: Remote About Us Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale. We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 130-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales. ABOUT THE ROLE Close is a CRM built around the communication tools sales teams use every day: email, calling, SMS, workflows, reporting, and AI. Underneath that product is a broad technical surface — Python services and a large application backend, a TypeScript and React frontend, public APIs, Docker and Kubernetes, AWS infrastructure, and integrations with providers that handle sensitive customer data. Security work happens across it all today, but the ownership is spread across Engineering, Infrastructure, and Security & Trust. We’re hiring our first dedicated Product Security Engineer to make that work systematic. You’ll report to the Backend Platform team manager within EPD (Engineering, Product, and Design), while working across the entire product and infrastructure surface. You’ll find vulnerabilities, determine which findings matter most, and drive them through remediation. Often you’ll fix the problem yourself. Other times you’ll give the owning team a clear reproduction, a practical path forward, and enough context to prioritize correctly. You’ll analyze code, build proof-of-concepts, test running applications, tune or replace noisy tools, and automate the repetitive parts of vulnerability management. This is not a role where you forward scanner alerts and call the queue managed. Product and application security will be your responsibility. You’ll partner closely with our Infrastructure team on cloud security, access, and secrets, and with our Security & Trust Lead on GRC Engineering https://grc.engineering/, compliance (SOC 2) goals, audits, and corporate security. This role is a new one at Close. You’ll have significant room to decide where better tooling, clearer ownership, and a small amount of code can reduce the most risk. OUR STACK Our backend is primarily Python, with Flask and FastAPI services and TaskTiger https://github.com/closeio/tasktiger and Temporal handling much of our asynchronous work. We expose REST https://developer.close.com/ and GraphQL APIs and store data in MongoDB, PostgreSQL, Elasticsearch, and Redis. Our frontend is a large single-page TypeScript application built primarily with React. We bundle with Vite, target modern browsers, and test with Vitest, React Testing Library, Playwright, and Chromatic. The product updates in near real time and uses technologies including WebSockets and WebRTC. Our mobile application is built with React Native. We build and test Docker images in CI/CD and continuously deploy them to Kubernetes on AWS. Our infrastructure uses managed services including EKS, MSK, and ElastiCache, alongside services running on EC2. Terraform and Ansible automate much of the underlying infrastructure, and our containerized local development environment lets engineers run the full system on their own machines. For this role, our stack extends beyond simply backend or frontend: browser behavior, frontend state, API authorization, asynchronous processing, data access, third-party integrations, containers, and cloud configuration can all be part of the same attack path. We love open sourcing our code and ideas on our GitHub https://github.com/closeio and on The Making of Close https://making.close.com/, our behind-the-scenes Product & Engineering blog. Check out our open source projects like SocketShark https://github.com/closeio/socketshark, TaskTiger https://github.com/closeio/tasktiger, LimitLion https://github.com/closeio/limitlion and ciso8601 https://github.com/closeio/ciso8601. AI is both how we build and what we ship, and that's reshaped what engineering looks like. This is a transformation we’re embracing and find deeply exciting. YOU ARE - An application security engineer who writes code. You can move from reading an unfamiliar code path, to reproducing an exploit, to proposing or shipping a production-quality fix. Strong Python or TypeScript experience would be especially useful; fluency across both backend and frontend systems is even better. - Skilled at finding vulnerabilities conventional scanners may miss. You use modern AI-assisted review pipelines, guided by expert judgment, to uncover subtle flaws in web apps and APIs—from authentication, authorization, and tenant isolation to injection, SSRF, unsafe data flows, and business logic. You can threat-model designs, white-box review code, and test running systems. - Offensive-minded and operationally responsible. You know how to test like an attacker without being careless with customer data or production systems. You can turn a finding into a safe reproduction, assess exploitability and business impact, and retest the eventual fix. - An automation builder. You have worked with some mix of SAST, DAST, software composition analysis, container scanning, secrets scanning, or cloud posture tooling. More importantly, you know how to tune tools, connect them to engineering workflows, and remove noise. - AI-native and accountable. You use coding agents and LLMs to accelerate investigation, code review, and repetitive engineering work, but you verify their output. You think carefully about what happens when agents clone untrusted code, install dependencies, or receive access to credentials. - Able to separate severity from priority. A score is an input, not a foregone conclusion. You consider reachability, existing controls, customer impact, and attack chains, then explain the risk in language that is legible to an engineer or business owner. - Comfortable working across the business. You’ll collaborate with product engineers, Site Reliability Engineers, Security & Trust Lead, auditors, and external researchers without confusing partnership for pass-off ownership. You will follow findings to closure even when another team is responsible for the fix. - Self-directed in a remote environment. You can take an ambiguous surface (say, secret rotation or dependency remediation) and learn how it works across multiple systems then turn it into a practical plan with measurable progress. You do not need to arrive as the deepest expert in every part of this scope. You do need to be able to investigate an unfamiliar system, determine what matters, and bring the right people with you. YOU WILL The work spans hands-on application security, security automation, vulnerability management, and infrastructure partnership. Depending on where you find the greatest risk and leverage, projects could include: - Build a recurring product security review program. Threat model new features, audit high-risk areas, review code, and build safe proof-of-concepts in isolated development environments. Work across our backend, frontend, APIs, and customer-facing integrations. - Improve application security testing. Combine static analysis, dependency and secrets scanning, dynamic testing in development, and carefully scoped production testing. Use existing tools where they fit and build focused automation where they don’t. - Own vulnerability intake and remediation. Triage findings from HackerOne, scanners, penetration tests, audits, customers, and internal research. Reproduce issues, assess exploitability and impact, track remediation, and verify fixes. Serve as technical lead for our bug bounty program while contract and budget ownership remain elsewhere. - Turn security alerts into useful engineering work. Verify scanner coverage and automate ingestion, deduplication, enrichment, prioritization, and routing—so teams spend less time interpreting alerts and more time fixing important issues. - Make dependency remediation safer and less manual. Improve scanning across our Python and TypeScript codebases, then build workflows to assess upgrades, stage pull requests, run checks, and route work without exposing credentials to untrusted packages or build steps. - Make secrets routinely rotatable. Partner with service owners and Infrastructure to inventory application secrets, add graceful rotation paths, document provider-specific runbooks, and automate rotation where the provider and risk justify it. Expand our use of Vault-backed dynamic credentials and reduce the number of rotations that require a coordinated fire drill. - Strengthen AWS security with Infrastructure. Evaluate and improve automated detection of risky configuration across identity, networking, compute, storage, containers, and registries. Turn findings into secure defaults, just-in-time access patterns, infrastructure guardrails, and actionable remediation—not build a second Infrastructure team. - Support audits and raising the security floor. Partner with Security & Trust on external assessments, provide technical context, and ensure findings are fixed rather than rediscovered. Along the way, create documentation, paved roads, and lightweight training that helps engineers make safer choices without waiting for a security review. - Take a key technical role in security incident response. Partner with Engineering and Infrastructure to coordinate investigation, containment, and remediation. Contribute to root-cause analysis and follow-up improvements, translating lessons learned into stronger controls and reduced recurrence. Tech you’ll touch: Python, TypeScript, React, Flask, FastAPI, GraphQL, Docker, Kubernetes, AWS, Vault, GitHub Actions, MongoDB, PostgreSQL, Redis, Kafka, Elasticsearch and the security tooling you help us choose. BENEFITS - Compensation: Competitive pay plus an organization-wide goal-based bonus - Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close. - 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay - Parental Leave: Paid leave for primary and secondary caregivers - Sabbatical: A 1-month paid sabbatical every 5 years with the team - Healthcare (US residents): Two medical plans with Close covering the majority of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability - 401k (US residents): We match your contributions up to 6%, vested immediately OUR VALUES Build a house you want to live in - Examine long-term thinking and action No BS - Practice transparency and honesty, especially when it’s hard Invest in each other - Build successful relationships with your coworkers and customers Discipline equals freedom - Keep your word to yourself and others Strive for greatness - Constantly challenge yourself and others LEARN MORE Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint https://www.close.com/blueprint.  Watch our culture video https://www.youtube.com/watch?v=maXKi1GN2MI from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany! Explore our product. Check out a demo https://www.close.com/demo-site! OUR HIRING PROCESS We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume. We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered. Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy. If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director, Engineering Location: Remote US, Only Compensation: $215,000 to $240,000 base plus bonus and equity What You’ll Do: Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. We’re hiring a Principal Software Engineer to head this effort. This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry. This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments in which attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person. As the technical lead, you’ll own the system’s architecture and direction. That means deciding how an investigation is structured, where deterministic code ends and model reasoning begins, what the agent can and can’t touch, how we know it’s working, and which decisions it makes on its own as it proves itself. You’ll work closely with SOC analysts, detection engineers, product, and other engineering teams. You’ll go deep in the code and help the engineers around you grow. Your work will directly shape how Huntress scales protection for the 99% . We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly. Responsibilities: Own the architecture of agentic investigation. You help define how signals move from detection into investigation, how investigation state is managed, how tools are designed and exposed to agents, and what a finished investigation contains: the verdict, the timeline, the scope, and the evidence behind every claim. When the team is stuck between options, you make the call, and the foundations you set are what others build on for years. Build agents that investigate like a strong analyst. You work alongside our SOC and product researchers to learn how experienced analysts actually triage and investigate, then turn that into agent behavior: which questions to ask, which evidence to gather, when to dig deeper, and when to stop and hand off to a human. Take toil off analysts’ plates. Beyond full investigations, you build LLM-powered pre-processing for the tools and data sources analysts rely on every day. It summarizes, correlates, and highlights what matters, so analysts spend their time on judgment instead of assembly. Bring a security mindset to the agent itself. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You design as if someone is trying to manipulate it, because someone will. Trust boundaries, tenant isolation, and auditability are part of the architecture from the start. Treat evaluation as a core part of the product. You define how we measure whether an investigation is correct, well-reasoned, and well-documented, and you make sure no prompt, model, or tool changes without evidence that it helps. Decide with data what the system does on its own. Based on measured performance, you decide where it acts autonomously, where a person reviews its work, and how that changes over time. You also recognize when a problem doesn’t need an agent at all. Build for production, not for demos. You design for reliability, latency, and cost at scale. The system keeps working when models are slow, wrong, unavailable, or quietly changed underneath you, and anyone can trace exactly why an investigation reached its conclusion or why an action was taken. Augment analysts, don’t replace them. You design the handoff between agent and analyst so that when a case reaches a person, the agent’s work makes them faster and better informed. You consider how analysts’ work changes as agents take on more of it, and how we explain agent decisions to partners and customers in a way they can trust. Prototype your way through hard problems. When the team hits something genuinely uncertain, you dig in first: derisk it, prove out the approach, then hand it off clearly. Be the engineering face of the Agentic SOC. In conversations with SOC leadership, other engineering teams, product, and executives, you represent the team’s technical perspective clearly and credibly. You drive alignment on key decisions, carry context in both directions, and protect the team from unclear scope. Balance technical rigor with pragmatism. You push back when a shortcut creates real risk, and you also push back on over-engineering when the goal is discovery. You have a bias for action and frequent feedback from analysts and customers, and you can explain your tradeoffs to engineers and non-engineers alike. Raise the floor and the ceiling. Your technical leadership is measured by how the whole team performs, not just by what you personally ship. That shows up in thoughtful code review, pairing on problems others are stuck on, and creating leverage through better patterns, tooling, and shared understanding. You partner with the engineering manager on team health, give direct feedback, and model the judgment and accountability you want the team to have. What You Bring To The Team: 15+ years of experience developing complex software products, including significant time as the technical lead on production systems Hands-on experience designing, shipping, and operating LLM-based agents in production, covering tool use, context management, structured output, guardrails, and evaluation, along with a clear-eyed understanding of how they fail A track record of building evaluation for non-deterministic systems, such as labeled datasets, offline evals, and regression gates, and of measuring quality over time rather than at launch A security mindset: experience building systems that handle untrusted input, enforce multi-tenant isolation, and produce an audit trail that holds up under scrutiny Experience building systems that make automated decisions with real consequences, and the judgment to know what to automate and what to leave to people Curiosity about how security analysts think and work, and a willingness to spend real time learning from them Deep backend expertise in distributed systems, queues, and durable workflows, and concurrency, with a track record of designing for throughput and correctness under load Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails, and we expect you to become fluent in it Experience with AWS, Azure, or other public cloud environments, and with data stores such as Postgres and Redis Experience with AI coding tools, such as Claude Code BS or MS in Computer Science or Engineering, or equivalent experience Bonus Points: Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate Familiarity with endpoint and identity telemetry and with attacker tradecraft Experience attacking or adversarially testing ML or LLM systems Experience with Ruby on Rails What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Australia, Adelaide Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About the role We are looking for a Staff Software Engineer to help shape and build the next generation of our network automation platforms. Our challenge is one of scale, complexity and criticality. We operate a massive global network supporting PlayStation Network, spanning more than 40 interconnection locations and 20+ data centres worldwide. Operating infrastructure at this scale safely and efficiently requires us to move beyond specialist-driven workflows and individual automation tools toward reliable, declarative software platforms. You will help make that transition. You will work on software that turns complex network and infrastructure operations into reliable, API-driven and increasingly self-service capabilities. This includes building control-plane services, declarative APIs and intent-based controllers that manage production infrastructure safely and consistently across our global footprint. This is a Staff-level engineering role with significant technical influence. You will combine hands-on engineering with setting technical direction: defining architectures, solving complex cross-system and distributed-systems problems, writing designs, driving alignment with senior engineers and architects, and mentoring engineers across the team. Your work will directly influence how one of the world's largest gaming networks is operated and automated, while establishing engineering patterns and platforms that can be reused across multiple network domains and services. What you'll do Provide technical leadership and architectural direction for network automation and infrastructure control platforms, treating the self-service network API as a product by working with users and partner teams to define outcomes, establish clear expectations for API behavior and reliability, align on team responsibilities, and ensure those commitments are met. Use domain-driven design with network experts, software engineers and API consumers to establish shared language and bounded contexts, then turn those agreements into versioned, testable contracts. Design and build APIs, services, controllers and reconciliation workflows that manage production infrastructure safely at scale. Build on the Kubernetes API, including custom resources and control loops that continuously converge actual state toward declared intent. Own the operational Kubernetes path: CRD rollout, RBAC and admission, controller health, Helm packaging, deployment drift and incident diagnosis. Design distributed workflows that operate correctly under eventual consistency, at-least-once delivery, concurrent writes and partial failure, with idempotency and safe recovery as fundamental properties. Design stable APIs, schemas and data models used across team boundaries, including versioning and backwards compatibility. Develop patterns for multi-tenant infrastructure platforms, including tenant isolation, authorization, policy enforcement and safe automation boundaries. Establish strong approaches to testing, observability and change safety for software that changes live infrastructure. Improve software delivery practices through automated CI gates, versioned artifacts, controlled promotion, and safe deployment and recovery strategies. Lead complex migrations and modernization of existing automation, services and data models, evaluating when components should be evolved, replaced or rewritten, and ensuring safe coexistence, behavioral compatibility and retirement of legacy paths. Drive technical alignment across software engineering, networking, operations and architecture teams; lead decisions within your area of accountability, contribute constructively to decisions owned by others, and make technology choices based on long-term company and product value. Mentor engineers, lead technical and design reviews, and raise software engineering standards across the wider organization. What we're looking for Must have Deep expertise in a backend language such as Python, Go, Rust or Java, including asynchronous concurrency, static typing, data modelling and validation, API development, packaging and tooling. Strong experience building Kubernetes controllers or operators, including custom resources and reconciliation/control-loop patterns. Strong experience building event-driven distributed systems, particularly eventual consistency, at-least-once delivery, idempotency, optimistic concurrency and partial-failure handling. Experience designing and building self-service, multi-tenant platforms, including tenant isolation, policy and access control. Strong API and schema design skills, including versioning and schema evolution for interfaces consumed by other teams and systems. Demonstrated technical leadership across team boundaries, including driving architectural designs, building agreement among senior technical stakeholders and mentoring other engineers. A track record of taking ambiguous, technically complex problems from architecture through to reliable production systems that manage large-scale infrastructure, such as networks, compute or cloud resources. Nice to have Networking fundamentals, particularly BGP, IP fabrics and VXLAN/EVPN/L3VPN. Working knowledge of Go, sufficient to understand and contribute to adjacent services and controllers. Experience designing testing and observability strategies for production infrastructure automation, including systems and backends that cannot be fully reproduced in CI. Experience with graph databases, or with source-of-truth systems that model infrastructure and its relationships. The impact You will help establish the architecture and engineering practices behind a new generation of network automation, moving from individual scripts and specialist-driven workflows toward declarative, model-driven and reliable platforms. At Staff level, your impact is expected to extend beyond the code you personally deliver. You will help shape the APIs and designs other teams build on, develop other engineers, and establish technical patterns that can be reused across multiple network domains and services. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran + dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior Staff Systems Engineer, Data and Integrations to join our Systems Engineering team and set the technical direction for the data that runs Fivetran's business. In this role, you will own the data architecture behind our marketing, sales, billing, and product operations: the canonical data models, the contracts between systems, and the pipelines and transformations that move data reliably between them. You will lead our largest and most consequential data initiatives, such as system migrations, org consolidations, and re-platforming of core integrations, from design through validation and cutover. This position sits at the crossroads of data engineering, data modeling, and business process. You will partner closely with our Systems, Analytics, and Engineering teams, as well as Marketing, Revenue Operations, Accounting, Product Operations, and other business partner teams, and you will mentor the engineers who build within the standards you set. This is a full-time position based out of our Oakland, California office. Technologies You’ll Use Our core systems are Salesforce, Netsuite, Coupa, Workday, and Zendesk, with BigQuery as our data warehouse. Our current integration stack includes Celigo and Fivetran itself.  You should be an expert in SQL and strong in a general purpose programming language such as Python or TypeScript, and comfortable evaluating and adopting new tools when necessary. A data engineering background is required, with expertise in data modeling, ETL/ELT development, data quality testing, and data validation at scale. Experience with dbt or a similar transformation framework, and with API-based and event-driven integration patterns, is preferred. Help us bring established data engineering practices to internal business systems, and define what those practices should be here. What You’ll Do Data Architecture and Standards Own the canonical data models for Fivetran's marketing, sales, billing, and product operations integrations, and define how business concepts map to data across our core systems. Define team-wide standards for data modeling, data quality, testing, governance, and documentation, and drive their adoption across Systems Engineering and partner teams. Contribute to the design of integration architecture, establishing guidance for when to use batch, real-time, and event-driven data movement. Delivery of Complex Initiatives Lead the design and execution of our most complex data initiatives, including bulk migrations, system consolidations, and re-implementation of core integrations, from target-state design through validation, cutover, and stabilization. Build, review, and ship the SQL and Python transformations and pipelines behind these initiatives, setting the bar for code quality on the team. Design the validation and reconciliation approach for migrations and pipeline changes, and sign off with stakeholders that record counts, values, and business rules reconcile. Reliability and Observability Design the monitoring, alerting, and data quality framework that gives end-to-end visibility into data freshness and accuracy across systems, and define the KPIs used to measure integration and data health. Lead root cause analysis on the most complex cross-system data issues, and drive the systemic fixes that prevent recurrence. Business Partnership Technical Leadership Translate ambiguous requirements from cross-functional business partners into data models and technical designs, and drive alignment across teams with competing priorities. Serve as the technical lead and subject matter expert for business data within the Systems Engineering team. Mentor other engineers and review their designs and code, raising the team's proficiency in data modeling, testing, and pipeline design. Write and maintain design documents and data flow documentation for current and target state, so decisions are legible to the team and to partners. Skills We’re Looking For 10+ years of experience in Data Engineering, Analytics Engineering, or a similar role, with a deep focus on modeling and transforming business data and a track record of technical leadership on complex, multi-team initiatives. Expert SQL proficiency, including complex transformations, performance tuning, and large-scale data reconciliation. Strong proficiency in a general purpose programming language such as Python or TypeScript, with experience building production-grade, tested data pipelines. Hands-on experience with business systems data models such as those for Salesforce, NetSuite, Coupa, Workday, or Zendesk, including a data migration, org merge, or major re-implementation. Demonstrated experience designing and delivering large-scale ETL/ELT solutions and the data quality, validation, and governance frameworks around them. Ability to evaluate trade-offs between short-term delivery and long-term data architecture health, and to communicate those decisions clearly. Ability to lead through influence, driving alignment across technical and non-technical stakeholders without direct authority. Bonus Skills Experience with dbt or a similar transformation framework. Hands-on experience with iPaaS platforms such as Celigo, Workato, or Boomi, and with reverse ETL tools, including experience choosing between them. Experience with cloud platforms such as AWS or GCP, infrastructure as code, and CI/CD for data pipelines. Familiarity with AI/ML capabilities to augment data quality, matching, and automation. By stepping into this role, you will define how Fivetran's + dbt Labs business data is modeled, governed, and moved, and lead the initiatives that make it scale. #LI-HYBRID #LI-VA1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $202,787 — $253,483.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: London, UK 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 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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. This is a partner-facing role: you'll support nonprofits, research institutes, academic medical centres and public-sector funders as they use Claude to get treatments to patients with rare and neglected diseases, where there is little or no commercial incentive to fund development. The role focuses on clinical development, where we think Claude can help these partners today. Trials in these diseases have small patient populations, investigator-led or nonprofit funding and little operational support, and they often stall on protocol quality, operational risk and site start-up. Claude can help teams design better trials and start them sooner. Much of this work is drug repurposing: testing new uses for approved, usually off-patent or generic medicines, whose known safety profiles can let a good hypothesis reach patients years sooner than a new molecule. You'll advise and embed in partners' teams, building alongside their engineers, scientists and clinicians. Responsibilities Work with partners' trial teams to design, review and prioritise clinical trials with Claude: drafting and reviewing protocols and statistical analysis plans, and flagging enrolment and operational risks. Build and validate tools that help partners find new uses for approved, mostly off-patent medicines in rare and neglected diseases, from literature, omics and patient data, and assemble the evidence so the partner can decide the next step. Build reusable infrastructure other institutions can adopt (MCP servers for biomedical data sources, agent skills, benchmarks grounded in real clinical questions), and feed what you learn in the field back to product, engineering and research. You Might Be a Good Fit If You Have Hands-on clinical development experience: designing, running or analysing clinical trials, or assessing clinical evidence to decide which programmes go forward (for example due diligence or asset evaluation). Drug repurposing work as part of that is a strong plus, as is having contributed to a regulatory submission for a trial. Comfort with biomedical data: literature, omics, and real-world patient data (health records, registries, claims), ideally inside secure or trusted research environments. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure it. Experience working directly with external partners or customers in a technical role. Clear written and verbal communication: docs other institutes can use without you, and results clinicians trust. A scrappy mentality: you're comfortable in ambiguity, wear several hats, and do what it takes to get a result for a partner. 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: £225,000 — £255,000 GBP 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. 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: India ABOUT CLICKHOUSE Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With over 2,000 customers and ARR that has more than quadrupled over the past year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. We're on a mission to transform how companies use data. Come be a part of our journey! ABOUT THE TEAM The Managed Postgres team is building ClickHouse's fully managed Postgres service. It gives developers a fast, reliable Postgres that works natively alongside ClickHouse, so one platform covers both transactional and real-time analytical workloads. This is a strategic, high-visibility initiative, and the user experience we build will shape how thousands of developers create, manage, monitor, and scale their databases. ABOUT THE ROLE We're looking for a Full Stack Software Engineer to help build responsive, performant, and elegant interfaces that make complex database operations feel simple. You'll work closely with product, design, and backend engineers, and you'll learn from senior engineers while owning real features from day one. WHAT YOU'LL DO - Turn designs and user requirements into intuitive, high-quality interfaces for the Managed Postgres experience in ClickHouse Cloud. - Build features end-to-end: React and TypeScript on the frontend, plus integration with (and contributions to) backend APIs. - Build data-rich UIs for metrics, diagnostics, backups, replication, and performance insights. - Contribute to click-ui, our open-source design system, and follow frontend best practices: code quality, performance, accessibility, and testing. - Give product and design feedback from a developer's point of view. ABOUT YOU - Experience: 1–4 years in frontend or full-stack development. - Core skills: Solid React, TypeScript, and modern frontend fundamentals (state management, component architecture, data fetching). - Backend exposure: Comfortable working with REST APIs; Node.js, Go, or similar is a plus. - Collaboration: You enjoy working closely with designers and backend engineers across a global team. - Developer empathy: You care about fast, clear, purposeful UIs for technical users. - Ownership: You take initiative, ask good questions, and carry work from idea to delivery. - Growth mindset: You're keen to learn and grow your scope quickly. NICE TO HAVE - Experience with Postgres, SQL, or database tooling - Accessibility (WCAG) knowledge - Data visualization or dashboard experience - Open-source contributions WHY JOIN US - Shape the future of the Postgres user experience inside one of the fastest-growing data platforms. - Real ownership and autonomy from day one. - Learn from experts in databases, distributed systems, and developer experience. - Solve meaningful problems in performance, scale, and usability.   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: UNITED STATES - Remote, CANADA - Remote, LATAM - Remote, EMEA - Remote Please note that we are unable to consider applications from candidates based in France, Italy, or Germany for this role. Money is moving onto the internet, and the shift has a name: Open Money. This is money that is open, portable, agentic, and owned by you. MetaMask spent the last ten years building it; with 100M+ downloads, users in ~190 countries, and trillions in cumulative transaction volume, it's the most trusted self-custodial financial platform on the internet. Now we're building the operating system for your money: one place to hold, move, grow, and use anything you own.  Join a remote-first, global team rebuilding how money works: a problem that touches everyone, every day. About MetaMask MetaMask aims to create a thriving engineering organization that supports the well-being of our engineers while empowering them to do work they are proud of and enjoy. We strive for an environment that gives our people high trust and autonomy, while also facilitating collaboration, communication and camaraderie among teams and teammates. We aspire to build a diverse engineering team, inclusive to people from all backgrounds and demographics. It is also of great importance to us that working at MetaMask is an experience that catalyzes career growth and learning. What you’ll do This role is specifically within the Predict team, which is focused on integrating Prediction Markets directly into the MetaMask platform. As a Senior Software Engineer on this team, you will be instrumental in building the core infrastructure and user-facing features that enable millions of users to engage with prediction markets securely and intuitively within their wallet. Designing and implementing the front-end components and user experience for prediction market interactions across MetaMask clients. Developing robust and scalable backend services and APIs to fetch real-time market data, manage user positions, and facilitate transaction signing. Ensuring seamless and secure integration with on-chain prediction market protocols. Optimizing the performance and security of all Predict features, handling real-time data feeds and high-volume transaction throughput. Requirements 3+ years working with mobile-based technologies 3+ years building websites and/or applications Experience with React and React Native Strong knowledge of modern Javascript (ES6/TypeScript/etc.) Familiarity with blockchain fundamentals and Web3 integration Working knowledge of cross platform/browser compatibility Experience working with APIs and middleware services Experience working in an agile development team Experience developing applications with clean code practices, testing, and adherence to coding standards Understanding of web-based security considerations Would be great if you brought this to the role Experience with prediction markets, token trading and/or sports betting Experience with DeFi protocols, especially prediction markets Knowledge of financial products in the digital space Interest in blockchain technologies and Web3 Basic understanding of cryptography principles Experience working in distributed teams Previous experience working in Web3 Familiarity with the Web3 wallet ecosystem Experience with performance optimization Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role . The salary range listed for this role applies to US-based candidates only. Compensation for candidates based outside the US (including Canada, EMEA, and LATAM) will be determined based on location, experience, and skills during the interview process, and may differ from the listed US range. US pay range (not including bonus, equity or other benefits) $156,884 — $220,520 USD In the rapidly evolving Web3 space, we believe that everyone is a builder. This expansive paradigm requires a range of backgrounds, talents, skills, and experiences to influence and shape the future. At MetaMask, this diversity fuels our ability to shift control and redefine the realm of possibility. We are committed to ensuring that our technology empowers people and communities through decentralized technologies. We welcome the range of perspectives and differences and celebrate them. We're excited to see how your unique skills as a builder can contribute to our vision, drive innovation, and help us shape a more inclusive Web3. MetaMask is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. MetaMask is aware of fraudulent recruitment practices and we encourage all applicants to review our best practices to protect yourself, which can be found on our page. MetaMask may use artificial intelligence (AI) tools to support parts of our recruitment process, such as reviewing applications, screening resumes, or conducting initial candidate assessments. These tools are designed to assist our recruiting team and improve efficiency — they do not replace human judgment. A human recruiter or hiring manager reviews every candidate, and all final hiring decisions are made by people, not AI. It is a requirement of employment in this position that applicants may be required to submit to background and identity verification checks, including but not limited to employment, education, criminal record checks, and other such checks as determined necessary by the company.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE The Data team at WorkOS plays a central role on the company operations to ensure information and insights are accurate and available from any surface, whether that's a visualization tool or an agent's response, to accelerate company growth and scale. The team owns WorkOS's internal data platform end to end: ingestion, orchestration, the Snowflake warehouse, dbt transformations, governance and access controls. We also own the consumption layer: the reverse-ETL syncs that land data in Salesforce and Slack, the semantic views that agents query, the definitions that keep reporting consistent across the company, and the visualization tooling the company uses (ask us about Flashboards https://workos.com/blog/reporting-tool-with-no-editor). We run on an agent-first operating system: we are a lean team that moves fast, we document so agents can execute, and AI agents query the warehouse, run our runbooks, and open pull requests alongside us. We trust each other's expertise, we work out loud and in the open, and not opposed to rapid experimentation to get to the right solution for the business. We're hiring a Data Engineer to own and evolve the systems that move, transform, protect, and serve data across our internal warehouse. This is a high-ownership role on a lean team: you will be the DRI for the platform and its core data models, partner directly with Product Engineering, RevOps, Finance, GTM Engineering, and Security, and raise the bar on reliability, correctness, and operational rigor. The role spans the platform and what runs on it. You will own ingestion, orchestration, and access governance; the dbt models and metric definitions that depend on them; and how AI is applied across the data stack, so that trusted data is easy for both people and AI agents to discover, understand, and work with. You don't need to have done this exact job before. The best data engineers at WorkOS are the ones who notice in a Slack thread that a number doesn't match, trace it from the dashboard through the Gold model to the connector, fix the connector, and confirm the definition with its owner before the weekly review. When a business team asks for a field in Salesforce, they don't hand it off; they build the model, write the sync, and add the test. They would rather automate the runbook than run it a third time. They enjoy collaboration with different parts of the business and can find simple, scalable solutions to ambiguous problems. If that sounds like how you work, we want to talk. RESPONSIBILITIES - Own the reliability, freshness, and scaling of the ingestion and orchestration pipelines that land source data in Snowflake, including monitoring, alerting, runbooks, and backfill and reprocessing patterns - Design, build, and scale the core dbt models (Bronze, Silver, Gold) for billing and usage, CRM, product events, and GTM funnel reporting - Partner with Product, Finance, RevOps, and GTM to define metrics and codify them in the warehouse, and diagnose and resolve data quality and freshness issues at source, not just downstream - Own Snowflake RBAC, dynamic masking, and PII classification for humans, agents, and service accounts, so sensitive data is protected without blocking legitimate use, and review DDL and access requests from Engineering and GTM - Own the reverse-ETL layer and the runbooks that deliver warehouse data to Salesforce, Slack, and internal agents - Extend the semantic views, context, and evaluations that let agents answer business questions accurately, and expand what agents can operate directly, from runbooks and ingestion to pull requests - Build and advance the CI/CD review gates in the data-platform monorepo, including the automated review that agent-authored pull requests pass through - Own the infrastructure the data platform runs on: the compute, deployments, secrets and access patterns, and environments behind ingestion and orchestration, with attention to availability and failure modes, in partnership with our infrastructure engineers Example problems you might work on, possible paths rather than a fixed roadmap: - Standardizing how Postgres and SaaS sources are ingested, and consolidating end-to-end pipeline deployment and orchestration in Prefect - Managing Snowflake RBAC, resource management, and masking policies as code with Terraform - Using query history to improve analytics tables and semantic views, and to keep agent answers accurate and consistent as data grows and metrics shift - Automating masking coverage as new data sources arrive, so adding a new table no longer needs a human in the loop - Automating near-certain matches in the Identity Graph - Pseudonymizing product data in the ingestion path, alongside compliance and data-deletion policies - Extending transcript aggregation across sources, including PII detection before transcripts enter the warehouse - Building the reverse-ETL framework and runbooks that deliver data to other tooling and agents - Running self-hosted data services on Kubernetes and managing their AWS resources (IAM, storage, secrets) as code with Terraform QUALIFICATIONS - 5+ years (or equivalent) building and operating production data platforms, including the transformation layer - Deep experience with Snowflake, dbt, and an orchestrator such as Prefect, Airflow, or Dagster, and with ingesting data from production databases and SaaS sources, including backfill and reprocessing patterns - Experience running data systems in production: monitoring, alerting, debugging, incident response habits, and pragmatic SLO/SLA thinking - Experience with warehouse access governance: RBAC, masking policies, and PII handling - Strong data modeling judgment and an understanding of schema evolution - Strong SQL and Python; disciplined engineering practices (tests, docs, reviews, CI/CD) - Proven experience operating as the only engineer on a layer, balancing foundational architecture with urgent business needs - Working knowledge of how GTM, Finance, and Product teams operate in addition to working with Engineering, and experience translating ambiguous business questions into technical specs - Comfortable using LLMs and coding agents as part of your day-to-day development workflow, with the judgment to validate their output and scale it into shared processes, and embracing AI and automation to scale platform work and accelerate your teammates - A systems thinker who reasons carefully about freshness, correctness, and failure modes, especially for data that everything else depends on - Pragmatic: you start with the simplest solution that works, prove it, then scale it, and you balance fast answers with durable solutions - You look for where AI can remove a bottleneck for the people and agents who depend on the warehouse, and you build the durable tools and workflows they rely on every day Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.   ABOUT THE ROLE We're looking for a Postgres Deployment Engineer to join our team and elevate our PostgreSQL offerings. You'll work hand-in-hand with the PostgreSQL team and play an instrumental role in technical decision-making and refining internal methodologies. The focus of this role is around owning stability and deployment of our products. This role involves ongoing contribution and co-responsibility for builds/deployments via our public supabase/postgres GitHub repository. This repository bundles an array of features/products into docker images and AWS AMIs, giving users the ability to run Supabase on our cloud and locally. This role will function has developed as a bridge between product and infrastructure teams to improve the reliability of product deployments and upgrades. In this role, your primary responsibilities will include: - Packaging software into our supabase/postgres https://github.com/supabase/postgres repo to using either nix language with flakes, or debian packaging depending on our required target - Supporting the expansion of knowledge in Supabase toward our platform release system so that developers can self service more and more over time. - Expanding on our github actions, our team tooling, and our testing/release approaches - Timely PostgreSQL major, minor, and extension upgrades. - Engaging in proactive identification and resolution of production issues in customer deployments. - Contributing to the creation/maintaining of best practices, tools, and tests to ensure enhanced stability and decreased deployment risks over time. What we need This role demands the following pivotal qualities: 1. PostgreSQL Expert: A profound understanding of PostgreSQL and its associated tools. Familiarity with extensions, performance optimization, and best practices is essential. 2. Infrastructure: Proven expertise in infrastructure management, tooling, and optimization. 3. Self-directed & Initiative: At Supabase, we value independence and proactive problem-solving. We anticipate you to be a dynamic self-starter, thriving in asynchronous collaboration across diverse teams. Your knack for spotting areas of improvement and commitment to realizing those enhancements will be key. What you’ll do - Improve the utility and efficiency of our PostgreSQL offerings. - Work with relevant teams to understand the issues around postgres stability, and apply those insights to the build/test/deploy AMI and Docker releases. - Contribute to the enhancement of our public GitHub repositories, especially supabase/postgres https://github.com/supabase/postgres. - Develop and expand tooling and solutions within the Supabase ecosystem. - Engage with customers routinely, ensuring our solutions resonate with their needs. - Address and resolve GitHub and Support issues. Must haves - 3+ years experience with PostgreSQL and its ecosystem. - Knowledge of ansible, Nix package management system (including nix flakes), packer, docker, qemu/kvm, aws, and kubernetes deployments is essential. Need experience with linux and darwin/macos aarch64 targets, as we maintain ability to build for both architectures - Must have experience with conventional and nix-packaged builds of C/C++, Go, javascript, and Rust based projects - Exposure to public cloud platforms and deployment methodologies. - Eagerness to improve and expand our development tools/stack. - Comfortable with regular interactions with customers - Willingness to work on an “integrated” system and approach to packaging. For many reasons, we cannot apply nix packaging to every component in our stack, nor can we just adopt Nixos in production. We have successfully laid the foundation for integrating conventional and Nix-based systems, with carefully validated choices including using flakes, etc. So, you must be willing to work within and help optimize this paradigm toward our platform development. - Must be willing to take on co-responsibility for teaching our engineering team to learn, use and contribute to our Nix-based work, and help troubleshoot and solve issues around the whole platform/postgres stack. Nice to haves - Experience with PostgREST, gotrue/supabase auth, and other Supabase stack components. - Contributions to significant, open-source projects in the PostgreSQL domain. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: United Kingdom (Remote); Ireland (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. As a Senior Solutions Engineer, you will help the sales team drive revenue growth by evangelizing our technology via demos and technical discussions. You will get to collaborate with infrastructure engineering and security teams at the most sophisticated technology companies in the world. Most importantly, you will help these companies solve problems and get exposed to the latest ideas in technology. You will partner with account executives, other solutions engineers, and other teams to understand customer challenges, design secure and scalable solutions, and guide prospects through technical evaluations and proof-of-value engagements. You have experience working with AI technologies and infrastructure (LLMs, MCP, vector databases, AI tooling), and familiarity with traditional infrastructure networking and security (Linux/Unix, Windows, VPNs, bastion hosts, etc) and modern cloud-native technologies (cloud compute, containers, IaC, etc). What You'll Do - Partner with Account Executives and Account Managers to expand technical discovery, and map Teleport’s capabilities to customer initiatives. - Architect and deliver compelling demos and proof-of-concepts that showcase Teleport’s differentiation with Zero Trust principles, handling of human and non-human identities, identity governance, and identity security. - Act as the trusted advisor to engineering, platform engineering, DevSecOps, and security leaders. - Advise on protecting sensitive datasets and model endpoints with Teleport’s identity-based controls. - Position Teleport as a solution to eliminate API keys and static tokens in machine pipelines. - Support customers exploring AI/LLM use cases, including secure infrastructure for training and inference workloads. - Provide structured feedback to Product and Engineering on feature gaps and market needs. - Collaborate with Marketing on thought leadership around identity, human, non-human, and AI security. - Support channel and technology partners with technical enablement. - Help across various go-to-market activities, including marketing collateral, product positioning, customer interviews, sales cycle optimizations, traveling to conferences, brand evangelism, attending meetups, etc. - Listen deeply and perceive feedback as an opportunity to improve. - Demonstrate a high level of empathy, resilience, and humility. What You'll Bring - 5+ years of experience in pre-sales engineering, solutions architecture, DevSecOps or a highly technical customer-facing role. - Experience with using/configuring/debugging Linux machines and network issues. - Strong understanding and experience with Kubernetes, including hands-on troubleshooting. - Strong knowledge of at least one cloud computing platform - Strong knowledge of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale (e.g., source control, code reviews, unit testing, agile principles). - Advanced understanding of identity security and modern Zero Trust security approaches. - Proven ability to develop scripts and automation using Linux shell, Go, and Infrastructure as Code tools - Strong understanding of system architecture, provisioning, and administration - Familiarity with AI/LLM infrastructure (GPU clusters, data governance, inference workloads, ML pipelines) and associated security requirements. - Strong problem-solving and analytical skills, with the ability to troubleshoot complex issues - Ability to engage both technical and executive stakeholders with credibility and clarity. - Strong presentation, demo, and white-boarding skills. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring an Edge Algorithm Integration Engineer to join the Edge ML team and bring Sensor Intelligence algorithms from validated reference implementations to production execution on WHOOP devices. You will own the technical path from reference algorithm to edge deployment, translating and optimizing algorithms for embedded hardware, resolving cross-platform dependencies, integrating with firmware and sensor infrastructure, and ensuring implementations preserve expected algorithm performance. You will work across Sensor Intelligence, Firmware, Edge ML Platform, Mobile, Cloud, and Connectivity teams to enable algorithms to run reliably and efficiently within the compute, memory, latency, and power constraints of WHOOP devices. RESPONSIBILITIES: - Own the end-to-end technical path for porting developed and validated Sensor Intelligence algorithms from reference environments to production-ready implementations on WHOOP embedded platforms. - Translate Python, MATLAB, and other reference implementations into efficient, production-quality C/C++, optimizing signal-processing and machine-learning algorithms for compute, memory, latency, power, and real-time execution. - Understand algorithm architecture, data flow, runtime requirements, and dependencies across cloud, mobile, connectivity, sensor pipelines, libraries, and platform services; drive the technical work required to resolve or redesign dependencies for on-device execution. - Integrate algorithms with firmware, sensor pipelines, embedded services, and Edge ML platform capabilities, partnering closely with Sensor Intelligence and Firmware teams to define interfaces, requirements, acceptance criteria, and system-level behavior. - Establish functional and numerical equivalence between reference and edge implementations, profile on-device performance, and debug complex issues spanning algorithms, sensors, firmware, and embedded systems. - Build reusable tools, test harnesses, profiling infrastructure, and deployment patterns that accelerate future algorithm migrations and enable efficient portability across current and next-generation WHOOP hardware platforms. QUALIFICATIONS: - BS/MS in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience. - Strong C/C++ software development experience with embedded, real-time, or resource-constrained systems, including an understanding of memory management, compute limitations, latency, and power constraints. - Experience porting, integrating, or optimizing signal-processing or machine-learning algorithms for MCU-based, embedded, or edge platforms, including translating implementations from Python, MATLAB, or similar reference environments. - Experience profiling and optimizing embedded software for runtime, memory footprint, computational efficiency, and/or power, with strong debugging skills across algorithm and systems boundaries. - Strong systems thinking and software integration skills, with the ability to understand complex dependencies and collaborate across algorithm, firmware, platform, and other engineering teams to drive technical issues to resolution. - Experience with one or more relevant embedded optimization technologies or techniques, such as DSP optimization, fixed-point implementation, quantization, model compression, ARM Cortex-M, DSPs, NPUs, RTOS environments, CMSIS-DSP/CMSIS-NN, or TensorFlow Lite Micro. - Experience with physiological sensing, wearable devices, time-series sensor data, low-power systems, or establishing functional and numerical equivalence between reference and embedded implementations is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. As a Software Engineer I (Frontend), you will help build the user experiences that power WHOOP’s digital products. With direction from senior engineers, you will ship high-quality code for member-facing features to production, using modern web technologies and AI-assisted development workflows to prototype and iterate rapidly. This role is ideal for an early-career engineer who cares about user experience, learns quickly from feedback, and wants to grow toward owning features from concept through launch. RESPONSIBILITIES: - Build well-defined parts of member-facing features from designs and requirements, estimate your work, and see your part through to production - Prototype, iterate on, and ship features using AI-assisted development workflows, with guidance and code review from your teammates - Contribute to high-quality, performant web applications built with Next.js, React, and Tailwind CSS - Implement responsive, mobile-first user interfaces from designs so they work well across devices - Test your code against core user journeys, take part in code reviews, and apply the feedback you receive to each new contribution - Work closely with product, design, and backend teams, asking questions to understand the reasoning behind product and UX decisions - Learn and apply the team’s best practices in frontend architecture, performance, accessibility, and maintainability - Grow your knowledge of the systems your team owns and take part in the on-call rotation, escalating issues when needed QUALIFICATIONS: - 0 to 2 years of professional experience in frontend or full stack software development, including internships or co-ops - Solid fundamentals in JavaScript or TypeScript, HTML, and CSS - Experience building web applications with React through work, internships, coursework, or personal projects (Next.js and Tailwind CSS experience is a plus) - Experience shipping user-facing work, such as a product feature, an internship project, or a personal app - Care for user experience and attention to detail, with curiosity about how members use the product - Familiarity with building responsive, mobile-first interfaces - Eagerness to work and learn in a fast-paced, iterative environment with an emphasis on rapid prototyping and continuous improvement - Familiarity with integrating frontend code with RESTful APIs, and interest in learning to work across the stack - Strong problem-solving skills, with the habit of researching a problem on your own before asking for help and bringing the options you have considered when you do - Clear communication and collaboration skills, including comfort asking questions and sharing progress often Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $105,000 - $145,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

-Full-Lifecycle Ownership: Lead feature development through scoping, architecture, deployment, and iteration based on live user data. What you’ll do Full-Lifecycle Ownership: Lead feature development through scoping, architecture, deployment, and iteration based on live user data.

Location: Tokyo; Kuala Lumpur Workplace: remote ABOUT YOU As a Solutions Engineer, you are the technical point of contact for our strategic enterprise partners. You'll be the person a partner trusts to answer a hard API question on a live call, the person who diagnoses why a payment token request is returning an empty-cart error, and the person who makes sure a major launch is technically ready before the traffic hits.   This is a hands-on, partner-facing engineering role. You'll spend your time troubleshooting real integration problems, reproducing and routing defects, and protecting our development teams from being pulled off their roadmaps for questions you can answer or resolve yourself. You'll work closely with Customer Success, Tech Leads, Directors of Engineering, Product Owners, and QA — and you'll be the connective tissue that keeps all of them in sync on behalf of the partner. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. What You'll Do Customer-facing technical support Serve as the technical liaison for strategic enterprise partners during the post-sales relationship. Join partner calls to answer technical questions in real time and resolve concerns on the spot. Respond to technical inquiries quickly (target: within 30 minutes during coverage hours) so partners are never left waiting. Shield engineering teams from non-technical and routine technical interruptions, escalating to Tech Leads and Directors of Engineering only when a question genuinely requires deep platform expertise. Ticket and bug management Create, own, and drive Xsolla Service Desk tickets to resolution — acting as both reporter and assignee on the issues you handle. Triage incoming issues: handle technical questions directly, route non-technical ones to Customer Success, and assign complex defects to the right engineering owner. Troubleshoot and fix minor bugs yourself when feasible, following proper code review and deployment processes. For complex bugs and new feature requests, capture clean requirements and escalate to the Tech Lead with the context engineering needs to act. For live production-impacting issues, drive to root cause and confirmed fix — convening the on-call team in a live session when necessary. Launch readiness Create and manage Partner Launch Event tickets for partner sales and launches. Validate technical launch requirements with the partner and assign preparation subtasks to the relevant engineering teams. Support Product Owners and Directors of Engineering in building a plan to staff and monitor live launch events. Continuously improve the Partner Launch Event process alongside Customer Success and engineering stakeholders. Process and platform stewardship Follow engineering and deployment processes carefully to avoid introducing regressions. Maintain the access you need to do the job: code repositories, logs, internal troubleshooting and testing tools, and dev environments. Communicate regularly with Tech Leads and Directors of Engineering on request resolution and bug-fix timelines. Bring structure to how defects and feature requests are reported, reducing back-and-forth and giving partners and engineers a clearer shared picture. What Your Day Actually Looks Like To make the scope concrete, here are the kinds of problems you'd be handling: A partner reports an "empty cart" error when calling the create-payment-token endpoint — you read the API docs, check their catalog and SKU configuration, identify the validation failure, and walk them through the fix. A partner's engineer raises a sharp question about whether 64-bit integer IDs in JSON webhooks could lose precision at scale — you give a technically credible answer and propose a forward-looking path. A webhook stops firing on a partner's store — you audit the webhook settings, confirm what's configurable via Admin API versus what needs an internal change, and coordinate the escalation. A major partner is launching a seasonal event — you create the launch event ticket, validate readiness, line up the engineering subtasks, and stay close during the event. You spot a recurring pattern of partner requests that creates operational risk, and you write it up clearly for leadership so the organization can get ahead of it. What We're Looking For Required Strong working knowledge of REST APIs, JSON, and webhooks — you can read documentation, construct and interpret requests/responses, and reason about payload structure and edge cases. Hands-on debugging and troubleshooting ability: reproducing issues, reading logs, and isolating root cause versus symptom. The judgment to know when to fix something yourself and when to escalate — and the discipline to route issues to the right owner with clean context. Excellent partner-facing communication: you can explain technical concepts clearly to both technical and non-technical audiences, and you stay calm and credible during production incidents. Comfort working in a ticketing/issue-tracking workflow (e.g., Jira) and following defined engineering and deployment processes. Ownership mentality — you drive problems to resolution rather than logging them and handing off. Experience in video game commerce, payments, e-commerce, or fintech platforms. Preferred / Nice to Have Familiarity with storefront, catalog/SKU, and monetization systems, or prior experience integrating with a platform like Xsolla. A coding background sufficient to make small fixes and understand engineering trade-offs. Experience supporting enterprise or strategic accounts in a post-sales technical capacity (Solutions Engineering, Technical Account Management, Integration Engineering, or Developer Support). Experience operating in an on-call or incident-response rotation. What Success Looks Like Partners view you as their trusted technical point of contact and resolve issues with you rather than escalating around you. Technical questions are answered fast, and engineering teams stay focused because routine and intermediate issues stop with you. Defects and feature requests reach engineering well-scoped, reducing back-and-forth and rework. Launches are technically validated ahead of time and supported through go-live. Production incidents reach confirmed root cause and fix, with clear ownership. The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws including the Act on the Protection of Personal Information (APPI), Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com For more vacancies: Careers | Xsolla

Job description.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, Platform Access (L2). About the job This position is an engineering role within Twilio’s Cloud Native Foundations Team, suited to an engineer focused on identity, governance, and automated access control across multi-cloud environments. Our team manages identity federation, least-privilege access, and automated provisioning for hundreds of accounts across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). As an L2 engineer, you will help design, build, and operate access controls and platform security tools at scale. You'll get hands-on with multi-cloud IAM, contribute to Terraform-based infrastructure automation, and write code to ensure secure, seamless developer access—using modern AI-assisted tooling to move faster and ramp up your skills. Responsibilities In this role, you’ll: WEAR THE CUSTOMER'S SHOES: Help design, build, and operate automations and access tools that streamline developer workflows while keeping multi-cloud environments secure. Work with security and technical leadership to turn well-scoped tasks into working code. BE AN OWNER (CODE QUALITY): Participate in code reviews and follow established patterns, testing standards and policy-as-code frameworks across the platform. BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Support multi-cloud access infrastructure spanning AWS, Azure, and GCP accounts using Infrastructure as Code (Terraform). Help maintain least-privilege IAM policies, identity federation, role provisioning, and automated lifecycle workflows across hundreds of cloud accounts. Help maintain observability coverage, including metrics, alerts, and basic distributed tracing, across core data pipelines. CHAMPION ENGINEERING HEALTH: Build awareness of secure architectural practices and IAM best practices. Flag access drift, technical debt, security vulnerabilities, and platform issues to your team as you encounter them. GROW AND COLLABORATE: Actively seek feedback and mentorship from senior engineers, participate in sprint planning, and share what you learn with peers as you grow into a more senior role. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Experience: 1–2+ years of professional software engineering or DevOps/Platform engineering experience, with practical exposure to multi-cloud environments, Identity & Access Management (IAM), or platform automation. Modern Development Workflow: Practical experience with, or a strong desire to learn, AI-assisted development tools (e.g., Claude Code, GitHub Copilot) to help write code, automate testing, and support debugging workflows. Infrastructure as Code & Automation: Practical experience or familiarity with Terraform, Harness, or similar IaC tools to manage cloud resources and access permissions programmatically. Multi-Cloud Infrastructure: Experience with cloud environments, including basic exposure to account management, IAM permissions, or core services in at least one major provider— AWS (e.g., IAM, Organizations, SSO/Identity Center), Microsoft Azure (e.g., Microsoft Entra ID/Azure AD, RBAC, Subscriptions), or Google Cloud Platform (GCP) (e.g., Cloud IAM, Workload Identity, Projects). General familiarity with multi-account/multi-project cloud architecture is a plus. Language Proficiency: Working knowledge of at least one of Shell, Terraform, YAML, or Go (Golang), with a willingness to build proficiency across the rest. Security & Governance Mindset: Solid understanding of core security concepts (authentication, authorization, least-privilege principles, secrets management) and an eagerness to build self-service, developer-friendly platform tooling. Desired: Familiarity with centralized identity federation, SAML, OIDC, or Okta integration with cloud service providers. Hands-on experience with containerized workloads ( Docker , Kubernetes ) or managing access to Kubernetes clusters (EKS/AKS/GKE RBAC). Interest in automated cloud governance tools, account vending machines, or identity lifecycle management at scale. Coursework or personal projects involving distributed systems, cloud security, or API development. Enthusiasm for working across multi-cloud environments and expanding hands-on depth across AWS, Azure, and GCP over time. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $116,960.00 - $146,200.00 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): 123,760.00-154,700.00 Based in the San Francisco Bay area, California: 137,520.00-171,900.00. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 10/31/2026  but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Baku Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Why This Role Exists Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone. Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought. This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions. Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week. What You'll Do Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real. Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos. What We're Looking For You build things because you want to, and that you already use AI to do it faster. Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen. Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best. Bias toward action. Given an ambiguous problem, you start building before you ask for a spec. Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. Open to current graduate students and recent graduates of a Computer Science, Software Engineering, or related program . How to Apply Please include: A link to a GitHub profile, deployed project, or anything else you've built – the more recent and self-directed, the better. A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: “What's something hard you built recently, and why did you build it?” We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter). Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the AI-First Engineering Intern, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements     Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.