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Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for an Firmware and Embedded Software Engineer to design and develop the real-time software systems that control our humanoid robots. You will own the development of embedded software for critical robotic subsystems, including motion control, sensor interfaces, communication networks, and hardware abstraction layers that enable reliable and safe robotic operation. This role requires strong fundamentals in embedded programming, distributed hard real-time systems, and hardware-software integration, along with experience building robust software for complex electromechanical systems. You will collaborate closely with mechanical, electrical, and robotics engineers to rapidly prototype, test, and deploy embedded software that powers our robotic platforms. Your work will directly influence the performance, reliability, and responsiveness of Humanoid’s robots.   WHAT MAKES THIS ROLE EXCITING - Design and develop embedded systems that control humanoid robots in real time safely - Solve challenging problems in low-latency motion control, distributed embedded networks, and high-reliability robotic systems with various communication protocols - Work in a fast-moving hardware environment where software directly interacts with physical machines - Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, controls, and AI - See your code deployed in real robots operating in real-world environments. WHAT YOU’LL DO - Develop and implement embedded software for robotic systems, emphasizing hard real-time performance and reliability as well as safety - Integrate and optimize hardware and software components, including sensors, actuators, and communication modules - Analyze and make recommendations on implementation paths with trade-offs - Write and debug firmware for microcontrollers, FPGAs, ASICs, and SoCs - Implement and manage communication protocols such as EtherCAT, CAN, UART, SPI, and I2C - Collaborate closely with mechanical and electrical engineers to ensure seamless system integration - Perform hardware testing, validation, and troubleshooting of embedded systems - Analyze system constraints and resource limitations to optimize performance and efficiency - Develop low-level drivers and interfaces for sensors, motors, and control electronics - Maintain clear documentation of system architecture, code, and test results for traceability and maintainability - Own embedded software components from concept through testing and deployment. WE’RE LOOKING FOR - 5+ years of professional experience developing embedded software or firmware for robotics, embedded systems, or real-time hardware platforms - Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Robotics, or a related field - Strong proficiency in C and C++, with experience using Python for testing or tooling - Solid understanding of embedded systems architecture and hardware-software interfaces - Experience with real-time operating systems (RTOS) - Experience working with communication protocols such as EtherNet, EtherCAT, CAN, SPI, UART, or I2C - Experience integrating sensors, actuators, and motor control systems - Familiarity with debugging tools such as oscilloscopes, logic analyzers, and in-circuit debuggers - Strong analytical and problem-solving skills - Ability to work effectively in a fast-paced multidisciplinary engineering environment. BONUS QUALIFICATIONS - Experience working with robotics frameworks such as ROS or ROS2 - Hands-on experience with FPGA or SoC development - Experience developing distributed robotic control systems - Familiarity with agile development methodologies - Experience with EtherCAT-based motor drivers and real-time control networks - Experience developing safety-critical or high-reliability embedded systems.   WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Vancouver, the expected base salary range is $140,000 – $180,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Remote, Global About the Role We're looking for a FinOps Data Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You'll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams. This role owns the data side of that mission: the models, pipelines, and analysis that make cost, usage, and margin numbers trustworthy across the company. This is a hands-on engineering role, not an analyst seat. You'll do the schlep work other teams don't have time for, digging into a bucket's access pattern, writing the dbt model or Python pipeline that ships the fix, building the cost-vs-revenue mart that answers a margin question once instead of every time, and chasing a number until it reconciles. Strong communication matters as much as technical depth, you'll regularly explain a savings case or a data model's implications to an engineering team, a finance stakeholder, and a leadership audience in the same week. What You'll Be Responsible For In this role, you'll: - Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation. - Build and maintain the FinOps data pipeline: Design and run the BigQuery/dbt models that turn raw billing and usage data (CUR, Storage Lens) into reconciled, trustworthy mart tables, the foundation everything else in FinOps is built on. - Build cost-vs-revenue and customer segmentation models: Model unit economics and margin by product line and customer segment, and extend coverage as new products and segments come online. - Apply data science to cost and usage data: Build forecasting models, detect anomalies statistically rather than by threshold alone, and quantify savings opportunities (e.g. storage lifecycle, request-cost patterns) with rigor a spreadsheet can't match. - Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/showback so engineering teams can see and own their own spend. This is foundational work other savings work depends on. - Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write the scripts and infrastructure-as-code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review. - Partner with engineering on architecture decisions: Bring cost into the room early, cost-efficiencies are cheaper to get right at design than to retrofit. - Work with Finance on forecasting and reporting: Support budget tracking and financial KPIs; build dashboards and self-serve analytics engineering and finance can both read. You Might Be a Good Fit If You - Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics. - Have data engineering depth: dbt, BigQuery (or an equivalent modern warehouse), SQL at scale, and data modeling for analytics (dimensional modeling, incremental models, testing). - Have data science fundamentals: statistical forecasting, anomaly detection, and experimentation, and know when a rigorous model beats a rule of thumb. - Have automation and scripting skills: Python, Terraform/ pulumi, Lambda, or Bash. - Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding (we use Hex). - Have experience with, or are comfortable picking up, Linear and Notion as the system of record for tracking and documenting FinOps work. - Experience with a dedicated cloud cost management platform (e.g. CloudZero, Vantage, or similar) is a plus, not required. - Can analyze cost data and present it clearly to both technical and non-technical audiences. - Have prior experience spanning data analytics, data engineering, or data science in a FinOps, cloud cost management, or cloud governance context. - Are energized by doing the unglamorous, high-leverage work (the schlep) that unblocks other teams, and by working cross-functionally without positional authority. 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: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma's Governance, Risk, and Compliance team is the foundation of how we build and maintain trust - with our users, regulators, business partners, and the organizations that rely on Figma every day. We work across the organization and drive programs that ensure the effectiveness of our security protections, identify and manage risk, maintain compliance, and build trust with our customers. We're looking for a Governance, Risk and Compliance Director to lead this team through its next phase of growth. You'll own Figma's security compliance, risk management, and governance strategy end to end - setting direction for our certification portfolio, building the risk and controls frameworks that scale with our growing business and product suite, and representing GRC to executives, the board, customers, and regulators. This is a hands-on leadership role where you'll manage and grow a team of GRC professionals while staying close to the programs, infrastructure, audits, and cross-functional relationships needed to both protect and enable the business. If you're a strategist and team builder who is excited to scale Figma's GRC program in a rapidly evolving environment, we'd love to hear from you! This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Set the strategy and roadmap for Figma's GRC program, aligning compliance, risk, and governance priorities with company objectives and the Security leadership team Own Figma's certification and compliance portfolio, including SOC 2, ISO 27001, FedRAMP, SOX ITGC, and GDPR, and expand coverage as Figma enters new markets and customer segments Lead and grow a team of compliance, risk, and governance professionals, setting priorities, developing talent, and building a culture of rigor and pragmatism Build and evolve enterprise risk and controls frameworks — including AI Governance, Risk and Compliance initiatives and control effectiveness monitoring — that scale across technical and business stakeholders Manage relationships with external auditors, assessors, and regulators, and oversee audit cycles from planning through remediation Direct the selection and optimization of GRC platforms and tooling, and maintain the lifecycle of security policies, standards, and procedures Partner with Sales, Legal, and Customer Trust on security questionnaires, customer audits, contracts, and trust-related communications that support the sales lifecycle Scale enterprise risk reporting and report on program health, risk posture, and audit readiness to executive and board-level audiences We'd love to hear from you if you have: 10+ years of experience in information security, compliance, or risk management, including at least 4 years leading or managing a GRC, security, or compliance team Deep, hands-on experience with frameworks such as SOC 2 and ISO 27001, including leading programs through multiple audit cycles A track record of building GRC programs from the ground up or scaling them through high-growth stages, ideally at a SaaS or platform company, including experience operating in a public company environment with SOX ITGC requirements Executive presence and exceptional written and verbal communication skills, with demonstrated ability to build cross-functional partnerships across Security, Legal, IT, Sales, and Engineering and translate technical risk into business terms for executives, the board, and customers Experience implementing compliance programs for emerging products, including AI-enabled products, with a strong understanding of cloud-based technologies and their GRC implications, and a builder's mindset comfortable with ambiguity as the program scales While it's not required, it's an added plus if you also have: Supported FedRAMP authorization, SSP development, 3PAO coordination, or continuous monitoring activities Experience with global privacy and data protection regulations, such as GDPR or NIS2 Security or risk certifications such as CISSP, CISA, CISM, or CRISC Hands-on experience implementing or administering GRC platforms such as Vanta, Drata, or similar tools Experience presenting to boards, steering committees, and audit committees At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $235,000 — $317,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Global Remote Workplace: remote Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.   We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. About the Role We’re looking for a Security Engineer with deep expertise in source code analysis and offensive product security research. You’ll dig into complex software architectures, trace how code behaves at runtime, uncover subtle vulnerabilities, and address the systemic flaws behind them. Embedded in our core engineering team, you’ll help shape security decisions from early design through release and adoption. This is a hands-on engineering and research role: you’ll combine your security expertise with frontier AI tools to find vulnerabilities, develop fixes, and make Metabase secure by default across its product, dependencies, and runtime. Things you’ll do Partner with engineers throughout feature development, bringing security expertise to design, implementation, release, and adoption. Build security-focused features, lead security improvements across the codebase, and implement fixes that address root causes. Use and evaluate advanced AI tools to scale code analysis, vulnerability research, and secure engineering practices. Conduct offensive research into Metabase, develop proofs of concept, and validate vulnerabilities. Assess findings based on exploitability and real-world impact, define clear remediation criteria, and verify that fixes are effective. Turn individual findings into broader improvements that prevent entire classes of vulnerabilities. What you bring A demonstrated track record of finding and exploiting application vulnerabilities through source code analysis and hands-on research. The ability to independently navigate unfamiliar codebases, understand complex architectures, and reason about runtime behavior and trust boundaries. Experience with application security challenges, including authentication, authorization, injection, and unsafe handling of untrusted data. Sound judgment about exploitability and real-world impact, and the ability to communicate findings and remediation options clearly. Strong software engineering skills, including the ability to implement durable security fixes. Experience in Clojure, or a strong desire to learn. A thoughtful approach to AI-assisted security work, using these tools to extend your expertise while independently validating their output. Ownership and curiosity: you pursue difficult questions, collaborate closely with engineers, and follow findings through to resolution. Compensation The US base salary range for this role is $160K–$225K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment. We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.   For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.   E-Verify Participation Notice (English/Spanish) Right to Work Notice (English/Spanish)

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the GTM team at Anthropic, you will be a Staff Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers and leads the technical direction of their AI adoption. Customers bring you in to lead, not only to implement: you decide what should be built, and then make sure it gets built well. You will work with customer teams to ship advanced AI applications that solve real world business problems, and guide the architecture and advisory work that surrounds those builds across an account. Working closely with our Research, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and help shape our forward-deployed motion as it scales. We expect Staff FDEs to set direction under ambiguity and represent Anthropic at the highest level in customer environments. In this role, you guide architecture and build initiatives across workstreams, working directly with senior technical and business stakeholders and owning outcomes that span an account's roadmap. You don't need to have shipped agents to production. You do need deep experience building and operating production systems, hands-on time with agents, and the judgment to lead architecture and advisory work with enterprise customers. Responsibilities Own technical strategy for a key account or vertical, in partnership with account and product teams. Guide technical architecture and design decisions across multiple concurrent workstreams. Lead discovery and advisory engagements independently, shaping scope and technical strategy before a build starts. Lead engagements delivered with partners, setting the architecture and the quality bar for work you don't build yourself. Review designs and unblock other FDEs on hard technical calls. Represent Anthropic to senior technical and business stakeholders, including VPs and C-level, to align on strategy and de-risk delivery. Own your engagements end to end: scope the work, sequence it, unblock it, anticipate security and procurement gates, and deliver production systems the customer can operate. Work within customer systems to build production applications and agent components with Claude, and hand over systems the customer can run. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25%) to customer sites to build in person with customers. Be a champion for Anthropic's mission in the field. You May Be a Good Fit If You Have Deep system design and problem decomposition skills: you can walk into a discovery conversation with only a business problem and leave with a defensible technical strategy for a secure, production-ready design inside a complex enterprise environment of legacy systems, with identity and access, and compliance requirements. Experience in a senior technical, customer facing role such as Forward Deployed Engineer, or as a Tech Lead with consulting or product experience. Former technical founders are also encouraged to apply. A track record as the person a team turns to on ambiguous technical calls, whether through architecture review, pairing, or informal mentorship. A track record of directly influencing senior technical and business stakeholders, including VP and C-level, in complex organizations. Extensive experience building and operating production systems. Hands-on experience with LLMs and agents is expected. Side projects and prototypes count. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc), experience shipping production applications, and everyday use of AI coding tools with the judgment to review and steer. Experience leading advisory and architecture-review engagements as well as hands-on builds, and running them end to end. High agency with an ability to navigate ambiguity present in complex organizations, and the learning velocity to pick up new domains and tools fast. Passion for advancing safe, beneficial AI systems through creative technical applications. A background in financial services, healthcare/life sciences, or another enterprise vertical are nice to have. 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: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Copenhagen, Denmark; Santo Domingo, Dominican Republic; Quito, Ecuador; Cairo, Egypt; San Salvador, El Salvador Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? As an AI Harness Engineer, you’re not just building integrations for AI —you’re developing new and innovative ways to connect people to local AI, and how that AI will become a fixture in our lives. You will push QVAC to new levels, using P2P technology to enable limitless scale, making you essential to the company’s success in the competitive local AI assistant market. Responsibilities s Deliver new features and bug fixes with a focus on reliability, performance, and user satisfaction Design and develop new tools and modules, enabling new AI capabilities while ensuring success of a wide variety of model types and sizes Maintain high codebase quality through consistent coding standards, code reviews, and automated testing Implement and develop P2P technology for use with local AI 5+ years building production software, with deep experience in P2P systems, AI/LLM tooling, or both. Hands-on experience building agent harnesses, including tool calling, agent loops, context management, and structured outputs. Experience building evals and test infrastructure for non-deterministic systems. Strong JavaScript/TypeScript, with experience modelling complex state, from sync protocols to agent loops Open-source contributions to P2P, networking, or AI tooling projects Experience designing for failure, including network partitions, model errors, timeouts, and retries

Location: Brussels, Belgium Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? As an AI Harness Engineer, you’re not just building integrations for AI —you’re developing new and innovative ways to connect people to local AI, and how that AI will become a fixture in our lives. You will push QVAC to new levels, using P2P technology to enable limitless scale, making you essential to the company’s success in the competitive local AI assistant market. Responsibilities s Deliver new features and bug fixes with a focus on reliability, performance, and user satisfaction Design and develop new tools and modules, enabling new AI capabilities while ensuring success of a wide variety of model types and sizes Maintain high codebase quality through consistent coding standards, code reviews, and automated testing Implement and develop P2P technology for use with local AI 5+ years building production software, with deep experience in P2P systems, AI/LLM tooling, or both. Hands-on experience building agent harnesses, including tool calling, agent loops, context management, and structured outputs. Experience building evals and test infrastructure for non-deterministic systems. Strong JavaScript/TypeScript, with experience modelling complex state, from sync protocols to agent loops Open-source contributions to P2P, networking, or AI tooling projects Experience designing for failure, including network partitions, model errors, timeouts, and retries

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM: You'll join our GTM Systems team, which owns the systems LangChain's go-to-market actually runs on — Salesforce above all: the account and contact model, territory and routing, the sales process from first touch to closed-won, and the quote-to-cash and provisioning stack behind it. We design and ship internal product for the GTM organization. AI agents do a growing share of the building: they draft design docs, open changes, and run Salesforce deployments, while humans hold the approval gates. Build capacity — engineers plus the agent bench — sits on this team, and you'll help decide what it works on next. ABOUT THE ROLE: You'll own the requirements, prioritization, and quality bar for LangChain's Salesforce-centered GTM systems, turning ambiguous revenue-team needs into shipped process and systems changes that scale. This is not a ticket queue role. You'll be accountable for a small number of high-leverage GTM systems programs at a time: defining the problem, aligning stakeholders, specifying the solution, and ensuring what ships changes how the revenue org operates. You'll work across Sales, Marketing, Partnerships, Support, and Finance in a fast-changing environment where priorities move quickly and influence matters more than reporting lines. The core challenge is operating with authority but not control: aligning teams around tradeoffs as the business changes underneath the plan. You won't be expected to write production code. You will be expected to write clear enough specifications that engineers and AI coding agents can build from them, and to review the output with enough Salesforce and systems judgment to decide whether it is correct. Location: San Francisco Bay Area — in office 4 days a week. The people whose processes you're redesigning are in this building, and so are the engineers who build LangGraph. WHAT YOU'LL OWN: Carry multi-quarter programs - Own the Salesforce sales process from lead to close — routing, qualification, territory assignment, and stage progression — driving each initiative from discovery through UAT, change management, and adoption. - Be the person stakeholders come to before they file a request, especially when the system was never designed for what the business now needs. - Own the intake and prioritization model for hundreds of quarterly GTM systems requests, ensuring the team works on the highest-leverage business problems rather than the loudest tickets. Own what gets specified and what ships - Run discovery and turn ambiguous asks into BRDs, process flows, data models, and acceptance criteria — with a clear problem statement and ROI justification, precise enough to execute without a second conversation. - Hold the quality gate: you write the specification, engineers and coding agents write the code, and nothing reaches production without your sign-off. - Run vendor evaluations when the right answer is buy, integrate, or replace rather than build. Protect revenue data integrity - Trace anomalies in revenue fields — Net ARR, initial pipeline, lead source — back to the automation, trigger, or integration that wrote them. - Own the reconciliation seam between Salesforce, usage-based billing, and cloud-marketplace transactions. - Identify which design decisions are load-bearing and which are cosmetic, and catch the downstream failure modes before they reach production. WHAT SUCCESS LOOKS LIKE: In your first 6–12 months, you might: - Redesign the lead-to-opportunity process so routing, qualification, and stage progression are measurable, enforceable, and adopted by the field. - Create a prioritization model for hundreds of GTM systems requests per quarter, with clear tradeoffs and business rationale. - Ship a Salesforce change that improves pipeline hygiene, quote-to-cash accuracy, provisioning reliability, or cloud marketplace reconciliation. - Establish a specification and UAT standard that engineers and AI agents can reliably build against. - Build enough trust with Sales, Marketing, Partnerships, Support, and Finance that stakeholders bring you the problem before they prescribe the solution. WHAT YOU'LL NEED TO BE SUCCESSFUL: SYSTEMS AND DOMAIN DEPTH - Domain and tenure — 6–8 years in business systems, sales systems, revenue systems, or GTM systems, with Salesforce as your primary platform throughout. - Sales process depth — you've partnered with Sales Ops on the things reps feel every day: territory and account coverage, lead qualification and routing, stage gates, and pipeline and forecast hygiene. - Sales systems / RevOps depth — experience across quote-to-cash, CPQ, territory and lead routing, forecasting, or adjacent revenue processes. - Technical fluency — you can read a data model, a Flow, and enough Apex to design against what's really there, even though you are not expected to write production code. PROGRAM LEADERSHIP - Program ownership — you've been the single accountable owner, at the working level negotiating the commitments yourself, of a program that spanned four or more functions and changed how a revenue org works day to day. - Release risk — you've delivered a program into a core system on a release process you didn't control, where another team's change could break your release. - Re-scoping under change — you've re-scoped a program mid-flight because the business changed under it, a sponsor moved, or the original scope no longer matched reality. - Holding the line — you've turned down a request with executive backing and kept the relationship; you hold the line when something breaks pricing discipline, a legal constraint, or the architecture, and you arrive with the alternative. JUDGMENT AND COMMUNICATION - One tradeoff, two audiences — you write for the reader in front of you, not the one you find easiest: the VP gets the page, the engineer gets the spec. - Maximum agency — you find the friction and start the project. You don't wait for a ticket. - AI judgment — you give an agent the same brief you'd give a new engineer, and you check its work the same way. - Architecture judgment — you know which design calls are load-bearing and which are cosmetic: why a usage event belongs on its own object rather than a field on Account, and how you'd catch that renaming one picklist breaks the provisioning saga before anyone deploys it. STRONG SIGNALS: None of these is a screen; any one makes you useful faster. - You've owned a core Salesforce object domain — Account, Contact, Lead, or Opportunity — through a full redesign. - You've traced a Salesforce field into a usage record into a provisioning step, and seen what broke downstream when it moved. - You've worked with cloud marketplace operations — AWS or GCP private offers, co-sell, entitlement mapping, metering, and the failure modes when they break. - You've worked with usage-based billing systems such as Metronome, Orb, or similar, and CRM↔billing identity reconciliation. - You have LangChain or LangGraph experience, or you're excited to learn it here from the people who build it. Annual salary range: $180-200k USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. We are building the future of live entertainment. We believe that by providing people with the best and high-quality live streaming experience in entertainment, we can tackle the world’s “problems” better, together! We're looking for a DevSecOps specialist to join our team and collaborate on continuously evolving our security architecture. You'll work closely with engineering and operations to strengthen our end-to-end security posture—protecting infrastructure, applications, and data — while enabling fast, reliable delivery. Job Responsibilities Responsible for the developing and maintaining the organization’s security architecture design to ensure the protection of IT systems, endpoint devices, network infrastructure, and information assets. Security initiatives to assess and mitigate risks, ensuring alignment with business objectives and compliance with regulatory requirements. Collaborate with IT and business units to integrate security practices into the development and deployment of IT systems and applications. Conduct research on emerging security technologies and trends to enhance the organization’s security posture. You’ll thrive here if you have Proficiency in Ansible and Terraform for Infrastructure as Code (IaC). Solid knowledge of cloud security frameworks. Knowledge of threat intelligence platforms and techniques for monitoring and responding to potential security breaches. Proficiency in encryption technologies, PKI, and cryptographic protocols (SSL/TLS, IPSec). Understanding of network security, including firewalls, VPNs, IDS/IPS, and endpoint security solutions. Understanding of identity and access management (IAM) solutions, including SSO, MFA, and RBAC policies. Soft skills: Effective communication: Ability to convey complex security concepts in an accessible manner. Emotional intelligence (EQ): Fostering empathy and understanding in all interactions. Commitment to greatness: A results-driven mindset with a focus on excellence. Human-centricity: Ensuring solutions benefit both people and systems. Analytical thinking: Strong problem-solving and decision-making skills. Flexibility: Adaptable to changing priorities and challenges. Conflict management skills: Skilled in resolving disputes constructively and efficiently. Inter-dependence: A team player who thrives in collaborative environments. Qualification that can be a plus: SIEM, Cloudflare, k8s, ELK. Proficiency in Ansible. Any IT / DevOps / Security certifications. Knowledge of modern DevSecOps practices. Expertise in scripting or programming languages such as Python, Go, Bash. Experience with security risk assessment frameworks, such as NIST, ISO 27001, or CIS. Hands-on experience with vulnerability scanning and penetration testing tools, such as Nessus, Qualys, or Metasploit. Knowledge of compliance standards (e.g., GDPR, HIPAA, PCI DSS) and their implications on IT security practices. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Recruitment process HR interview (45 min); Technical interview (1.5 hours); Final interview with HRBP (45 min) - optional.

Location: San Francisco, CA; Boston, MA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders. WHAT YOU WILL DO - Develop and implement key product features working across our entire Go, Python, and Typescript stack - Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap - Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code HOW TO BE SUCCESSFUL IN THIS ROLE - 2+ years of experience in software engineering working on complex platform products - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend - Solid understanding of database systems, particularly Postgres and Redis - Experience designing and scaling APIs, preferably in high-performance, data-intensive applications - Strong ownership and a “get stuff done” mindset - comfortable shipping fast and iterating based on user feedback - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms Compensation Annual salary range: $145,000-180,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Проектирование и развитие архитектуры Linux- и Kubernetes-платформ, определение стандартов их построения и эксплуатации; Развертывание и администрирование Linux-серверов, Kubernetes-кластеров и связанных с ними инфраструктурных компонентов;

▫️ Уверенное владение React 18+ (хуки, паттерны композиции, Suspense) от 2х лет. ▫️ Опыт разработки SPA «в бою» (роутинг, guards, state persistence).

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Order Management sits at the center of how Figma turns contracts into revenue — every deal our Sales team closes passes through this team before it's invoiced. As part of the Revenue Operations team within Accounting, we own order form review, invoicing, and billing support for Sales and Support for a global customer base. As Figma grows, we're building the order-to-cash process for what comes next, and this role is a builder's seat: you'll take on our most complex orders while helping shape how orders get processed, reviewed, and automated as we scale. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Own the order process end to end — from contract review and order entry through to invoicing — processing orders accurately and within SLA, including our most complex work with validation for completeness, accuracy and policy compliance Serve as a go-to resource for Sales and Support on billing and invoicing questions, and partner with cross functional partners to investigate discrepancies and booking blockers across systems — following up to conclusion Detail-review routine orders processed by other analysts and our BPO partners, identifying error patterns and driving them to resolution Play a key role in UAT for new products, SKUs, pricing models, and billing system releases — writing and executing test scripts, running end-to-end tests from order through billing, documenting bugs clearly, and working with cross functional partners to resolve Support month-end and quarter-end close, including reconciliations, accruals, and data integrity across systems, while maintaining SOX controls, audit documentation, and the SOPs and test cases your areas run on Take ownership of ad-hoc projects related to process improvement, system upgrades, or controls enhancements across the order-to-cash lifecycle We'd love to hear from you if you have: 3+ years of experience in order management, order-to-cash, billing operations, or revenue operations at a SaaS company Hands-on experience with Salesforce (RLM or CPQ), an ERP such as NetSuite, and a payment processor such as Stripe Clear understanding of how order entry decisions flow downstream into billing and revenue Advanced Excel and Google Sheets skills — pivots, XLOOKUP, reconciling large datasets across systems — and comfort with data query tools Exceptional attention to detail and a track record of producing quality work under quarter-end pressure, with excellent written and verbal communication across finance and non-finance audiences At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. For non-exempt employees, PTO is accrued at a rate equivalent to 15 days per year for full‑time employees. Accrued PTO may be used for vacation or personal time, subject to company policy and manager approval. In addition, the company provides 10 paid sick days annually for non-exempt full-time employees. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Hourly Base Pay Range: $50.50 — $73.60 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

What You'll Do Design the experience, not just the screens. Build intuitive user flows, information architecture, and interaction logic for complex, multi-step workflows.

Обязанности: -Разработка и поддержка CI/CD пайплайнов (GitLab CI) для автоматизации сборки, тестирования и развертывания приложений. -Автоматизация инфраструктуры через Infrastructure as Code (Terraform, Ansible).

• Проектировать и реализовывать критичные компоненты: policy engine, signing orchestration, key lifecycle, recovery flows, approvals, audit trails, multi-tenant wallet/account сервисы. • Строить высоконагруженные multi-tenant SaaS-системы (изоляция тенантов, rate limiting, backpressure и т.д.).

Location: San Francisco, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools. As a Senior Engineer you will design, build, and operate: AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker. WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn. RESPONSIBILITIES Building and Operating AI Developer Tools - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards - Build systems that help Docker's engineers adopt AI-native development tools - Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction Self-Service Platform - Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster - Help reduce time-to-production for new products from weeks to days - Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response Design and Delivery - Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions - Write clear design documents for the work you own, and participate in design reviews for the team - Review code thoroughly and share what you learn with the rest of the team - Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier - Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship Collaboration and Growth - Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work - Partner with Infrastructure, Security, and Data teams on integrations and shared standards - Help newer engineers get up to speed on the team's tools, patterns, and practices - Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team QUALIFICATIONS REQUIRED - 6+ years of software engineering experience building and operating production systems - Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Experience building and operating scalable backend services, distributed systems, or developer-facing platforms - Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience building developer tools, platform systems, or internal tools that other engineers rely on - Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design - Clear written and spoken communication suited to a remote, async-first company - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable working autonomously in a distributed, remote-first team - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability - Familiarity with security and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) WHAT TO EXPECT FIRST 30 DAYS - Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far - Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering - Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Shadow on-call and learn the operational profile of the team's services FIRST 90 DAYS - Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant - Write the design document for work you own and take part in team design reviews - Contribute to the self-service platform's deployment pipeline, observability integration, or security controls - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be a go-to engineer for one or more of the team's AI tools or platform components - Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to - Have helped teams outside AI Developer Tools build and run their own tools on the platform - Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $160,900 – $260,700 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we're helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud—managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. What You’ll Do First Line of Defense: Act as the primary point of contact for customer-affecting technical issues and lead real-time incident resolution. Incident Management: Adhere to incident management protocols and drive post-mortems to capture process improvements and root-cause analyses. Monitoring & Alerting: Monitor and respond to Zabbix, Grafana and Opensearch alerts—taking direct remediation steps or managing seamless escalations. Infrastructure & Pod Health: Ensure the health and reliability of storage pods across all sites (defining and refining monitoring alert definitions and completing daily tasks relating to hardware replacement diagnosis, system troubleshooting and executing needed configuration changes via Ansible and a Git repository framework). Data Center Tech Support: Serve as an escalation point for Data Center Technicians regarding advanced pod troubleshooting, deployment queries, migration issues, and Ansible playbooks. Migrations & Provisioning: Manage pre-deployment configuration and testing for Vault systems, initiate Vault migrations, and perform health checks on migration pods. Code Deployments: Use Jenkins to deploy code updates across all our environments. Network & Operations: Identify and escalate network anomalies, document network IP assignments for upcoming deployments, and track server farm releases/updates. Automation & Process: Identify opportunities to automate daily operational tasks and document workflow procedures. On-Call & Flexibility: Participate in an on-call rotation shift, with flexibility to work outside standard business hours (including weekends, evenings, or holidays) as operational needs arise. The Right Fit Experience: 2–4 years of hands-on experience in Systems Administration, Linux Operations, or SRE environments. Technical Fundamentals: Strong foundational understanding of Linux systems, command-line interfaces, network cabling/topologies, and IP network classifications. Problem Solving & Automation: Analytical mindset with a drive to learn, troubleshoot complex hardware/software interactions, and automate repetitive tasks. Communication: Excellent cross-functional communication and collaboration skills with both technical and non-technical stakeholders. Diversity, Equity, & Inclusion Even if you don’t meet 100% of the qualifications listed above, we still encourage you to apply! Learning, developing, and growing are key parts of our culture. At Backblaze, diversity, equity, and inclusion are core to our values. We are committed to fostering a workplace where all employees feel a sense of belonging regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Backblaze is an Equal Opportunity Employer (EOE) and participates in E-Verify.