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Location: San Francisco, CA 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: The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond. We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent. Responsibilities: Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently Have implemented A/B testing frameworks and experimentation infrastructure for ML systems Are results-oriented, with a bias towards reliability and impact in safety-critical systems Enjoy collaborating with researchers and translating cutting-edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may also have experience with: Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Working with large language models and modern transformer architectures Developing monitoring and alerting systems for ML model performance and data drift Experience in trust & safety, fraud prevention, or content moderation domains Knowledge of privacy-preserving ML techniques and compliance requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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: The Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services sit on the token generation path across every platform Claude runs on: every request must pass through them, and each millisecond of added latency is wait time for our users. You’ll keep p99 latency flat as traffic grows, build for robustness as dependencies time out or partially fail, and ship changes safely to a system that cannot go down. What you'll do: Design, build, and operate the backend systems that process every token on the generation path for Claude requests, including the streaming contract with the API and inference engines. Own latency and reliability end to end: define and maintain SLOs and error budgets for added latency, time-to-first-token, and availability, and lead incident response and postmortem follow-through. Ship changes to the hot path rapidly but safely — canaried and gradual rollouts, error budget and latency gating, fast rollbacks — and drive per-token performance: chase tail latency and keep cost flat as traffic, models, and checks per request grow. Set technical direction for the sampling path: lead design reviews, make latency, reliability, and cost trade-off calls with the inference and research teams, mentor engineers, and raise the operational bar for the wider Safeguards organization. You may be a good fit if you: Have designed, built, and operated high QPS systems at global scale, and were accountable for them in production: incident response, outages, and postmortem-driven remediation. Have a strong foundation in distributed systems: replication, consistency tradeoffs, failure modes, and SLO management under load. Design systems for graceful degradation: you plan for a slow dependency, a dropped stream, or a half-rolled-out deploy before it happens, and build so the system degrades predictably instead of failing. Have successfully shipped broad or all-encompassing changes to mission critical systems (e.g., database migrations, interface changes, rewrites). Strong candidates may also have: 8+ years of industry software engineering experience. Familiarity with LLM inference systems and transformer-based models (not required, but a plus). The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior or Staff Backend Engineer with the Database Excellence group , you'll build and evolve database automation and PostgreSQL as a service capabilities for GitLab. The level will be determined during the hiring process. You'll use Go to automate the full lifecycle of PostgreSQL across GitLab's infrastructure, making database operations safer, more consistent, and easier to scale for databases that sit behind high-throughput, always-on internet services. You'll work closely with partner teams to shape how GitLab provisions and manages PostgreSQL in a fully remote, highly collaborative environment. Some examples of our projects: SQL Traffic Replay Tooling , which validates upgrades and changes against real production workloads. PostgreSQL as a Service Platform , which provides standardized, automated provisioning and lifecycle management for internal product databases. PostgreSQL Major Version Upgrade Automation , which supports safe, repeatable major upgrades at GitLab.com scale. What you’ll do Design, build, and maintain Go-based automation that manages the full PostgreSQL lifecycle, including provisioning, configuration, upgrades, failover, scaling, and decommissioning, reducing reactive operational work that currently takes more than 80% of the team's time. Build automation that works across infrastructure-as-code tooling and cloud infrastructure, and evaluate operator-based approaches as the platform evolves. Use AI agents as a regular part of building and operating services, including implementation, review, and reducing repetitive work, while keeping the context agents need in the repository so the whole team can build on it. Build for internet scale by designing automation and services for high-throughput, always-on production workloads, where GitLab.com traffic sets the bar for correctness, latency, and availability. Integrate compute, storage, networking, identity and access management, and managed data services across cloud providers into one coherent PostgreSQL platform instead of creating bespoke setups for each database. Build GitLab's PostgreSQL as a service platform to replace bespoke database setups with standardized, automated provisioning and lifecycle management, so supporting more databases doesn't require growing the operations team at the same rate. Collaborate closely with product management, infrastructure, software delivery, and other engineering teams to design and ship high-performing solutions. Research, design, and implement improvements to PostgreSQL performance, scalability, and data health, helping maintain more than 8 months of operational runway for all critical database saturation points. Review database automation and Go changes from other engineers and contributors, with attention to safety, maintainability, and performance. Document automation practices, PostgreSQL operational patterns, and guidance that helps engineers use and contribute to the platform. Build safe, repeatable automation for PostgreSQL major version upgrades at GitLab.com scale, validating changes against real production traffic before rollout. Operate what you build in production from end to end, using production feedback to guide each iteration. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Professional software engineering experience working with PostgreSQL in large, complex production environments, including experience building or operating a database-as-a-service product. Proficiency with Go, including designing, implementing, testing, and reviewing backend services. Experience developing Kubernetes operators, controllers, or similar automation for the lifecycle of stateful services, especially databases. Kubernetes experience is one way to demonstrate this skill, but isn't required; comparable experience building database or infrastructure automation is welcome. Comfort with infrastructure as code and core database operations concepts such as high availability, replication, backups, and system-level performance trade-offs. Familiarity with Ruby is a plus but isn't required. Much of GitLab's application codebase uses Ruby on Rails, and being able to read it helps when designing automation that application teams depend on. We’ll expect you to become comfortable with it on the job, not on day one. Strong written communication skills and comfort working asynchronously in an all-remote, distributed team. Self-directed work style with effective organizational skills, the ability to manage priorities as a "manager of one," and alignment with GitLab's values of transparency, collaboration, inclusion, and open source contribution, as well as its operating principles . Ownership of the technical direction for a major initiative such as the PostgreSQL as a service platform, turning an ambiguous problem into an architecture and a sequenced plan that several engineers can execute in parallel. Influence beyond the team, setting the patterns other engineers follow, partnering with sibling database, infrastructure, and platform teams, and growing engineers through design reviews and mentorship. About the team The Database Excellence group keeps GitLab’s databases running reliably through proactive health management, operational excellence, and strategic enablement. We maintain operational runway by identifying and addressing saturation points, operate infrastructure through automated and scalable processes, and provide tools and frameworks that help teams build features sustainably. Our primary focus is GitLab.com, and we're expanding our scope to provide database health frameworks and tooling that benefit self-managed customers as well. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United Kingdom (Hybrid); United Kingdom (Remote); Spain Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo, we have ~200 Engineers organised into Pillars. ✨ Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google and Apple at least weekly. To thrive here, our engineers proactively use our Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development, and growth. ABOUT THE ROLE ✍️ We're hiring a Staff Backend Engineer for our Financial Assistant Pillar. You'll shape technical direction and drive delivery across multiple functional product squads. Key responsibilities for this role include: - Partnering with senior peers to define architecture and lead complex, high-impact initiatives - Bringing teams together to ship ambitious product work that improves users’ financial health - Building shared systems, patterns, and tooling that raise the bar across engineering - Staying hands-on in our Ruby on Rails monolith -- designing APIs, data models, and scalable services - Anticipating risks and opportunities early, influencing plans and technical strategy - Mentoring engineers and TLs, growing the next generation of technical leaders   WHAT WE'RE LOOKING FOR 🕵️ - You’re excited by the opportunity to own and influence technical direction at a pillar level - You’ve operated at senior/staff level across multiple teams or complex domains - You bring strong technical judgment and think in long-term, scalable solutions - You’re comfortable leading without authority and aligning teams around a shared direction - You have a track record of building systems and practices used beyond your immediate team - You enjoy mentoring and raising the bar for others - You have strong, hands-on experience with Ruby on Rails (essential) WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Remote Workplace: Remote Talkiatry is hiring a Staff AI Enablement Engineer to define and drive how generative AI and automation are used across our engineering organization. This is a builder's role first: you'll design and ship working automations and agents, not just write recommendations. It's also a force-multiplier role: your job is to make every engineering team faster and more capable by embedding proven AI practices, tools, and infrastructure into their day-to-day work. You'll work directly with the Engineering and Product leaders and teams to understand their workflows, tooling gaps, and pain points — then design automation, agents, and tooling that measurably reduce toil. You'll also own our engineering-wide point of view on AI coding assistants and agentic developer tools, evaluating what's real versus hype and driving thoughtful, phased adoption suited to our team's current maturity. Beyond developer-facing enablement, you'll have the opportunity to apply AI and ML directly to core business workflows, modernizing existing rules-based systems with more data-driven approaches. ABOUT TALKIATRY: Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care.   Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 900+ psychiatrists, 400+ therapists, and more than 4 million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America.   Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose. YOU WILL: - Act as engineering's subject-matter expert on generative AI, agentic systems, and AI-assisted software development — tracking the landscape closely enough to separate durable capability from hype - Diagnose team-level workflows and pain points by meeting with every engineering team, translating findings into a prioritized backlog of AI-enabled solutions - Own the AI enablement roadmap end-to-end — propose it, get buy-in from engineering leadership, execute against it, and report on impact - Evaluate and pilot AI coding assistants and agentic tools, driving adoption decisions grounded in evidence rather than hype, calibrated to our team's size, stack, and current AI fluency - Design, build, and operate a network of specialized automation agents targeting high-friction engineering and operational workflows, on a shared architecture that lets new agents be added quickly and reliably - Instrument and measure the impact of each automation you ship (time saved, quality improvement, adoption) and iterate based on real usage - Partner with teams across the business to modernize existing rules-based or heuristic systems into more data-driven, ML-informed approaches, working closely with data and clinical stakeholders where relevant - Define lightweight adoption frameworks and guardrails (quality, security, cost, and responsible-use considerations) so new tools and agents can be rolled out safely and repeatably - Champion AI/automation best practices across engineering through documentation, demos, brown bags, and hands-on pairing with teams - Make the tradeoffs of any given AI approach (build vs. buy, cost, latency, quality, risk) legible to both engineers and leadership YOU HAVE: - 8+ years in software engineering, with a track record of shipping production systems end-to-end - Hands-on experience building with LLMs and agentic systems — prompt engineering, context/tool design, evaluation, and orchestration - Real, production-level experience with modern AI coding assistants and agentic dev tools — not just awareness of them — and a clear point of view on when and how they add value - Working knowledge of applied ML fundamentals sufficient to help move a heuristic system toward a proper ML-based approach (features, evaluation, model selection, collaborating with/acting as a data scientist) - Demonstrated ability to drive technical adoption across an engineering organization without direct authority — through credibility, clear communication, and working software, not mandates - Strong product instincts for internal tooling: you talk to your "users" (fellow engineers), prioritize ruthlessly, and ship iteratively - Excellent written and verbal communication; comfortable presenting roadmap, tradeoffs, and results to engineering leadership - Prior experience in a staff/principal-level IC role, ideally with cross-team or platform scope NICE TO HAVE: - Experience building internal AI enablement programs, developer-experience platforms, or lightweight AI governance frameworks - Experience in healthcare, healthtech, or another regulated industry - Familiarity with vector search / RAG, model evaluation frameworks, and observability for LLM-based systems - Experience with conversational AI / virtual assistant products WHY YOU'LL LOVE WORKING HERE - Meaningful mission — your work directly helps a lean engineering team spend more time on what moves the business - Shape how an entire engineering org builds with AI — real autonomy and direct access to engineering leadership - A mandate to build things that matter, not produce slideware - Impact that spans developer productivity, operations, and the broader patient experience - Competitive compensation, benefits, and remote flexibilityn WHY TALKIATRY: - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care - Collaborative environment: be part of building something from the ground up at a fast-paced startup - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more! - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands - It all comes back to care: we’re a mental health company, and we put our team’s well-being first Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0. At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us. We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

Location: New York Workplace: Remote ABOUT THE ROLE We're hiring a Staff Product Designer to set the visual and experiential direction of a global brand, and to build the products that carry it. This is not a role that inherits a finished system and maintains it. Our design system is young, our brand is ready to evolve, and we have entire product categories still to launch. You'll have unusual latitude to decide what Taptap Send looks and feels like across more than 70 markets, and unusual proximity to the decisions that change the company’s trajectory. Concretely, you'll own: - Brand and visual evolution. Push our identity somewhere distinct and memorable without losing sight of the fact that people come to us to complete an important financial task and should leave feeling rewarded for it. Visual distinctiveness in service of trust, not in tension with it. - The design system. Expand it from a component library into real infrastructure: tokens, motion, content patterns, and the documentation that lets a small team ship consistently across mobile, web, and internal tools. - New product offerings. New surfaces and new lines of business, taken from a rough hypothesis to a shipped product with measurable impact on customers and on the business. - The craft bar. You hold the standard for what great looks like here, and you're the person who helps make the call on when something is genuinely done. You'll work across product, engineering, growth, compliance, and go-to-market, in a company that moves fast and expects extreme ownership. YOU’RE EXCITED ABOUT THIS OPPORTUNITY BECAUSE YOU WILL… - Define the design direction for a brand used across four continents, and see your decisions reach customers within weeks rather than quarters - Take ambiguous, high-stakes problems — new markets, new products, unfamiliar regulatory terrain — and turn them into shipped work, not decks - Use AI tooling to compress the distance between idea and reality: prototype in hours, run more experiments than a team our size should be able to, and hand engineers front-end work that already sits close to spec - Build the system, the brand, and the products on top of them, rather than choosing one lane - Set the craft standard for a growing design team and raise the bar for everyone around you through the work itself WE’RE EXCITED ABOUT YOU BECAUSE… - Your portfolio shows range and depth. Consumer mobile products you took from ambiguity to launch, plus evidence of systems thinking — not just screens, but the structure underneath them. - Craft fundamentals are table stakes for you. Visual hierarchy, typography, content strategy, micro-animation, information architecture. We're not going to teach these; we're going to learn them from you. - You reach for AI tools as naturally as design tools. LLM-assisted prototyping, code editors, component generation, workflow automation — and you have a point of view on where they genuinely increase velocity versus where they produce plausible-looking work that fails in the details. - You sweat the details and know which ones to trade away. Pixel-perfect where it matters, pragmatic where it doesn't, and clear about the difference. - You care deeply about our customers. You've either lived something close to their experience — sending money home, navigating financial systems that weren't built for you — or you're the kind of designer who does the work to understand it, and puts the use case at the center of every system you build. - You're comfortable being the most senior designer in the room. You influence roadmaps through evidence, prototypes, and shipped artifacts rather than authority. - Fintech, marketplaces, or other high-trust consumer categories are a plus. About Us   We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.   Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.   We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.   Here’s a little more: - Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world) - Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more - Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission - Truly global team - 250+ people, 50+ nationalities, 50+ languages - Guided by our values - ownership, impact, humility, and heart - in deed, not just word   TAPTAP VALUES https://www.taptapsend.com/our-values Impact first Team next Accept reality Propose solutions Win with grit Be proactively candid, with yourself and others Love the particular Own it Create positive energy Maybe, even have fun   Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply. If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements. Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

Location: Portugal; Brazil; Poland; Argentina; India; Pakistan This position is open to candidates worldwide, meaning you can apply and work from anywhere as long as you meet all the requirements. As a Staff Software Engineer, you will be at the core of one of the most technically demanding challenges in modern web infrastructure: optimizing how web traffic is intercepted, processed, and delivered at massive scale across an edge computing platform. You will work on a system handling tens of thousands of requests per second and tens of billions of dollars of annual e-commerce volume, alongside a small, high-caliber engineering team where every engineer owns a meaningful piece of the system. This is not a ticket-execution role. You will be a technical leader in architecture and design, collaborating directly with the CTO and lead platform engineer to define how the platform evolves. You will plan rollouts methodically, define success metrics before shipping, debug complex cross-browser and cross-device behavior, and build systems that cannot fail. Responsibilities Design, build, and scale the core platform infrastructure handling high-volume web traffic at the CDN and edge computing layer Take an active technical leadership role in architecture design, technical planning, and authoring design documents with a long-term view Plan and execute gradual, methodical rollouts: define target audiences, KPIs, and success metrics before shipping significant changes Debug complex front-end behavior caused by backend platform changes across all browsers, devices, and geographies Collaborate with the data engineering team to ensure testability at scale and build the right measurement and observability framework Solve high-complexity technical problems with significant scope and ambiguity, where few established playbooks exist Mentor engineers and serve as a point of technical escalation for complex platform challenges Stay current with emerging web performance technologies, edge computing patterns, and browser optimization techniques Embrace and integrate AI coding tools into your engineering workflow to accelerate delivery and improve code quality Requirements 10 years of software engineering experience with a strong background in building and scaling high-traffic, multi-tenant web platforms Expert-level proficiency in TypeScript (primary language), JavaScript (real JS, not just framework-level), and Python Demonstrated experience designing and operating distributed, high-availability systems at meaningful scale Cloud platform experience: AWS, GCP, or Azure (cloud agnostic environment) Experience with CDN infrastructure and web performance optimization: tools such as Cloudflare, Lighthouse, WebPageTest, and techniques such as web workers, lazy loading, and code splitting Infrastructure as Code experience (Pulumi or equivalent) Strong SQL and data querying skills; ability to work with data warehouses and build data-driven engineering decisions Experience with message queues (SQS, Kinesis, or equivalent) and CI/CD pipelines Data storage: PostgreSQL, Redshift, or equivalent Strong problem-solving skills and detail orientation: understands that at massive traffic scale, edge cases are not edge cases Active AI tool usage in engineering workflow: Claude Code, GitHub Copilot, Codex, or equivalent Strong English communication: comfortable in technical discussions and async written collaboration with a distributed team Available to work full Eastern Standard Time hours Be legally authorized to work as independent contractor in the country where you are located Preferred Cloudflare Workers or edge computing experience (highly preferred given the platform architecture) E-commerce platform experience: Shopify, Salesforce Commerce Cloud, or similar Snowflake or data warehouse query optimization experience Media or high-traffic publishing platform background Experience running or leading a multi-brand or multi-tenant web platform Prior startup experience where you owned significant platform surface area with a small team Agile/Scrum experience in a distributed team environment Benefits Salary: $9,000 to $12,000 USD per month PTO: 15 days Holidays: Local or US holidays

Location: Batumi, Georgia; Berlin, Germany; Munich, Germany; Lisbon, Portugal; Warsaw, Poland; Barcelona, Spain The Vault is an MPC-based crypto custody platform for institutional and retail clients, running threshold signing across HSM and Ledger hardware. We're scaling toward Series A, launching our productized platform in 2026, and publishing original cryptographic research alongside the product. We're hiring a Staff Engineer to design and ship the custody platform's hardest backend code. This is a hands-on IC role with real technical leadership — no people management — where you drive non-trivial initiatives through code, RFCs, and mentorship. You'll shape architecture in your area of ownership; platform-wide decisions sit with technical leadership. We're AI-forward (Claude Code, Cursor, Codex), and we need engineers who can read AI-generated code critically and catch what it misses — not just prompt it. You'll naturally gravitate toward either the security-critical core (MPC, threshold signing, HSM/Ledger integration, key lifecycle) or the faster-moving periphery (chain adapters, integrations, APIs/SDKs). What you'll do Design, write, and ship critical platform components: policy engine, signing orchestration, key lifecycle workflows, recovery flows, approvals, audit trails, multi-tenant wallet and account services. Lead non-trivial cross-cutting initiatives in your area — through written RFCs, design reviews, and code, not through hierarchy. Build high-load, multi-tenant SaaS systems: tenant isolation, quotas, rate limits, backpressure, concurrency control, predictable latency under spikes. Distributed systems & reliability: idempotency, retries, outbox/inbox, event-driven workflows, sagas and state machines, replay, graceful degradation. Security-by-design: least privilege, secret handling, mTLS/JWT, tamper-evident logs, audit-ready data models — designed for SOC 2, ISO 27001, and DORA scope from day one. Performance & data: profiling, load testing, benchmarking, contention analysis, GC tuning; strong relational modelling (Postgres or equivalent), migrations, indexing, clear consistency boundaries. AI-assisted development as a core competency: ship production code with Claude Code, Cursor, and Codex; build the prompt and agent patterns that work for your area; contribute to the company's AI engineering practices; know when to use AI heavily (periphery, integrations, tests, docs) and when not to (cryptographic core, signing paths) where blind generation is unsafe. Set patterns and shared libraries for the services your area touches; raise the bar through code review and example. Own features end-to-end: design notes / RFCs, code, tests, observability, rollout, on-call. No "throw it over the wall" handoffs. Mentor senior engineers: your reviews and your written designs are the strongest signal to the rest of the team. Requirements Must-have experience Strong CS fundamentals — our primary screening criterion. You can reason from first principles about concurrency, distributed systems, consistency models, networking, and OS behaviour. You know not just what locks and channels do, but why and when. You understand what's happening under the hood, not only at the API level. Ownership mindset. You've owned non-trivial production systems end-to-end — design, ship, measure, improve, on-call. You don't wait to be told what to do, and you don't ship code you don't understand. 10+ years backend engineering, including 3+ years operating at Staff level (or equivalent senior IC scope). Strong production experience in a modern systems language — Go, Rust, Java, C++, or comparable. Hands-on Go experience, or genuine readiness to ramp on Go in the first month. Track record of Staff-level technical leadership through code, RFCs, and influence — without formal authority over teams. You can point to RFCs you wrote that the team adopted, initiatives you drove without being the manager, patterns you set that outlasted you. Proven track record building high-load, multi-tenant SaaS in production (HA, incident response, SLOs). Hands-on with modern backend stacks: gRPC/HTTP, queues/streams, caching, relational databases, Kafka/NATS or equivalent. Strong testing discipline: unit/integration/contract tests, testability-first design, deterministic CI. Strong observability habits: structured logging, metrics, tracing, end-to-end production debugging. REQUIRED: production-grade use of modern AI coding tools (Claude Code, Cursor, Codex, or comparable). You can point at what you've built with them. You read AI-generated code as a hostile reviewer, not a grateful recipient — you have instincts for what AI tends to get wrong, and you don't ship code you couldn't have written yourself. Nice to have Exposure to custody, wallets, or signing systems (MPC, HSM, TEE, key management, approvals). Hardware wallet integration (Ledger). Multiple blockchain ecosystems (EVM and Bitcoin minimum; Cosmos, Solana, others a plus). Built custom agents, MCP integrations, or in-repo AI workflows that compounded a team's productivity. Designed and run evals for AI-generated code (correctness, security, style). Kubernetes and service mesh in production; SRE practices. Regulated-environment experience (fintech, security audits, compliance-driven engineering). Threat modelling and security review participation. Familiarity with SOC 2, ISO 27001, and DORA — enough to design for them. What this role is NOT A people management role. A pure architecture / whiteboard role. You write production code in this codebase every week, and platform-wide architectural ownership sits elsewhere. A research-only cryptography role. You collaborate with our Cryptography Researcher; your focus is platform engineering, not protocol design. Pure feature ticket execution. If you wait to be told what to do, this won't work. Benefits A Staff IC role with real technical leadership — no people management, no sprint mechanics gauntlet, no architecture-by-committee. An AI-forward engineering culture with budget and autonomy for the tooling, models, and agents you need. Direct peers in cryptography research, security architecture, product, and delivery — you're not the only senior voice in the room. Fully remote, any time zone with reasonable overlap with EU/CIS hours. Competitive comp at the Staff engineer band; equity participation; full benefits. A product approaching Series A with paying institutional customers and a published cryptographic research line

Location: Oakland, California, United States 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 is building data pipelines to power the modern data stack for thousands of companies. We're looking for a Senior Staff Software Engineer to join our Systems Engineering team and lead the engineering behind our internal AI-powered application ecosystem. This is a high-leverage, high-visibility role with three interlocking mandates. First, you will own the development and governance of a code library and set of agent rules that will serve as the architectural foundation for multiple internal AI-enabled webapps at Fivetran.  Second, you will work with stakeholders to develop, productionalize, and enhance custom apps built on this foundation.  Third, you will act as a trusted advisor to engineering leadership, shaping policy and governance for how non-engineers should use AI to safely develop, productionalize, and deploy apps. This position sits at the crossroads of software engineering, platform architecture, and AI-assisted development. You will partner closely with business stakeholders and engineering platform teams across the company, translating a fast-moving, experimental "everyone builds" culture into production software held to a high standard of security, reliability, and maintainability. This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, TypeScript/React Kubernetes, GCP Cloud SQL (PostgreSQL) BigQuery data sources, Claude API, Agent SDK GTM systems -  Salesforce, Outreach, Gong, and Zendesk What You’ll Do Independently design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud Develop, maintain, and test code Conduct design and code reviews Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability Understand and fix challenges related to performance and scalability. Participate periodically in on-call rotation Participate in the hiring process Mentor Junior developers Make Fivetran the most reliable and secure component of our customers’ data infrastructure Skills We’re Looking For 10+ years of experience in the software industry with a passion for solving complex software engineering problems - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices Experience working with distributed systems and cloud security concepts Demonstrated ability to write well-structured and performant code Ability to independently lead software and infrastructure design to satisfy project requirements Can identify design flaws in existing systems and come up with improvements Experience in code reviews, design, troubleshooting and testing Experience programming in an object oriented / systems language such as Java, C++, C# etc Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s Experience interacting with continuous integration tools like BuildKite Knowledge of observability tools like New Relic/Grafana is a plus Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals Bonus Skills​ Experience in data processing (ETL, ELT) and/or cloud-based platforms #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 $232,338 — $290,422 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: Remote GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United Kingdom only. Candidates based in the United States or Canada can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — AMER (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: New York, NY Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. As a Staff Data Scientist, reporting to our Director of Analytics, you will play a critical strategic role in shaping Flex's future by guiding key analytics projects across our Go-To-Market and Account Management teams. You will champion truth seeking across the business, working to bring clarity to some of Flex’s most challenging and complex areas. Through your technical expertise and mastery of data-led story telling, you improve our understanding of the business and where we can make improvements. The ideal candidate for this role is intensely curious, holds themselves to a high analytical bar, while simultaneously balancing analytical rigor with speed and ultimate business impact. What you’ll do Improve our understanding of key Flex domains by creating scalable frameworks that connect dots across the business into easily interpretable outputs Proactively and effectively root cause data and performance issues across the business in order to ensure continued strong performance Create and improve dashboards, visualizations, and automations that help us scale analytics across Flex Work to establish clear causal links between actions and outcomes through experimentation and other relevant methods, where applicable Combine data and strategy - being that bridge between what the data is telling us and the implications for strategic priorities within different areas of the business Champion best practices, precise and consistent terminology, and robust documentation within Analytics and more broadly across the organization Key qualifications 5+ years of experience using analytical and statistical methods to support and drive critical business outcomes Bachelor's degree in finance, economics, or other related fields Expert communicator who can break down complex technical concepts into simple business vernacular Experience across a variety of analytical domains that allow you to bring unique perspectives to solving hard problems Demonstrated success driving business strategy and outcomes from an analytics lens Advanced experience with SQL, business intelligence tools (e.g., Tableau, Mode, Looker, etc.) Experience with ETL processes, especially utilizing dbt and Snowflake Track record of using quantitative, analytical, and problem-solving skills to drive decisions Biased for action - knows when to not let perfect be the enemy of good enough, while also can effectively highlight the tradeoffs/risks of moving too quickly too soon Strong ownership mindset with a deep natural curiosity to dive into the details and understand how systems work This role is hybrid with on-site expectations of 3 days per week in our New York Headquarters. Compensation Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location. Tier 1 (NYC/Bay Area) $155,000 — $187,000 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Location: Dublin, Ireland Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. Staff Software Engineer – Identity Domain About Vectra AI Vectra AI is transforming cybersecurity through AI-driven threat detection and response. Our platform brings together network, identity, cloud, SaaS, and security telemetry to uncover attacker behaviour, identify risk, and help security teams investigate and respond before threats become breaches. Identity is changing rapidly. Alongside human users, organisations increasingly rely on AI agents, service accounts, workloads, applications, API tokens, and other non-human identities to access systems and act autonomously. These technologies create enormous opportunity, but also a rapidly expanding attack surface. Vectra’s Identity Domain is responsible for detecting and reducing identity-based risk across identity providers and SaaS environments, including human, machine, and non-human identities. The Opportunity We are looking for a Staff Software Engineer to provide technical leadership within Vectra AI’s Identity Domain, with particular experti se in the emerging security challenges created by AI agents, machine identities, and non-human identities (NHIs). This is a senior individual contributor role for an engineer who combines strong software engineering with deep curiosity about how customers build and operate modern identity systems. You will need to understand how AI agents are created, deployed, authenticated, permissioned, and connected to enterprise systems and translate that understanding into security capabilities that protect customers as this new attack surface evolves. The Identity team owns end-to-end delivery: from in gesting and normalising identity telemetry, through analytics and detection, to publishing detections and findings and making identity observability data available across the Vectra platform. You will lead complex engineering initiatives across that lifecycle, remain hands-on with architecture and code, and help teams make strong technical decisions while delivering reliable customer outcomes. What You’ll Do Design and deliver capabilities across the full Identity lifecycle: telemetry ingestion, normalisation, enrichment, analytics, detection, findings, and observability Build systems that help customers discover, understand, monitor, and protect human and non-human identities Help define how Vectra models AI agents, service accounts, workloads, OAuth integrations, tokens, and other machine identities Apply expertise in how customers build, deploy, authenticate, authorise, and permission AI agents and automated workloads Partner with Security Research and Product Management to turn evolving attack techniques and customer problems into durable product capabilities Correlate identity signals with network, cloud, and SaaS telemetry to reveal activity isolated controls may miss Help define and execute technical strategy for Identity products, services, data models, and engineering practices Lead design and code reviews, identify technical risks early, and maintain a high bar for reliability, security, observability, and maintainability Work across team and service boundaries, partnering with Data Platform, Cloud Platform, Data Science, SRE and others Engage with Product, field teams, and customers to understand deployment patterns, security concerns, and emerging use cases Mentor engineers, share knowledge broadly, and help develop technical leadership across the team What You’ll Bring Required Significant professional software engineering experience building and operating production systems Strong expertise in distributed systems, architecture, coding, and technical problem solving Demonstrated ability to lead complex initiatives and influence technical decisions beyond your immediate team Strong understanding of modern identity systems, including authentication, authorisation, credentials, tokens, and privileged access Expertise in AI agents, machine identities, workload identities, service accounts, non-human identities, or closely related identity-security problems Practical understanding of how organisations build, deploy, authenticate, and permission AI agents and automated systems A customer-oriented mindset and enthusiasm for understanding how technology is used in real-world environments Experience building reliable, observable cloud-based services Strong judgment when balancing engineering quality, security, technical debt, customer needs, and business priorities Demonstrated ability to mentor engineers and raise the effectiveness of teams around you Preferred Deep knowledge of Entra ID, OAuth/OIDC, SaaS identity ecosystems, workload identity, secrets, or machine-to-machine authentication Experience building security capabilities for AI agents or autonomous systems Experience with behavioural analytics, detection engineering, anomaly detection, or high-volume security telemetry Cybersecurity product experience What Success Looks Like Vectra delivers differentiated security capabilities for AI agents and non-human identities The Identity team moves efficiently from new telemetry ingestion to customer-visible detections, findings, and observability Customers gain meaningful visibility into machine identities, their privileges, behaviour, and risk Complex initiatives land predictably with a consistently high engineering bar Engineers across the team grow through effective technical leadership and mentoring Why This Role Matters The definition of identity is changing. Increasingly, the actor accessing sensitive enterprise systems may be an application, workload, automation, or AI agent acting autonomously and with significant permissions. S ecuring this world requires understanding not only whether an identity authenticated, but what it is, what it can access, how it normally behaves, and whether its actions make sense in context. As a Staff Software Engineer in the Identity Domain, you’ll help Vectra solve that problem end to end, from the data we ingest, through the detections we create, to the findings and observability our customers depend on. Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Задачи: — Архитектура, разработка и поддержка full-stack программных платформ для команд инфраструктуры и операций. — Ведение технического дизайна систем для обработки и анализа инфраструктурных и операционных данных в масштабе. — Разработка backend-сервисов и API для сбора, обогащения и запросов данных. — Создание и поддержка веб-интерфейсов с расширенным поиском и фильтрацией для технических пользователей. — Проектирование и реализация ETL и конвейеров обработки данных для структурированных и полуструктурированных источников. — Обеспечение полной контейнеризации приложений и готовности к продакшену с использованием Docker и Kubernetes. — Выступать техническим лидером по вопросам дизайна систем, производительности, надежности и поддержки. — Сотрудничество с платформенными, инфраструктурными, безопасностными и продуктовыми командами для формирования долгосрочной стратегии. — Установление и поддержание лучших инженерных практик по тестированию, качеству кода, документации и готовности к эксплуатации. — Ревью дизайнов и кода, повышение технического уровня команды. — Выявление системных проблем, снижение технического долга, улучшение масштабируемости и опыта разработчиков. Требования: — Опыт работы на позиции Staff или Senior Full Stack Software Engineer с комплексными продакшен-системами. — Способность работать самостоятельно в условиях неопределенности и доводить решения до конца. — Сильные навыки backend-разработки, включая дизайн API и работу с данными. — Опыт создания приложений с обработкой, трансформацией и анализом данных. — Владение одним или несколькими backend-языками: C#, Python, Go, Java. — Хорошие знания SQL и опыт работы с реляционными базами данных. — Практический опыт с Docker и контейнеризацией приложений. — Понимание распределенных систем и облачного нативного дизайна. — Опыт работы с CI/CD и современными процессами разработки. — Отличные технические суждения, коммуникация и влияние без формальной власти. Преимущества: — Опыт проектирования и эксплуатации систем на Kubernetes. — Знакомство с PostgreSQL, MySQL или аналогичными базами. — Опыт с ETL, аналитическими платформами или инструментами для операционных данных. — Знание облачных платформ GCP или AWS. — Опыт создания внутренних платформ или инструментов для инфраструктуры, SRE, DevOps или платформенной инженерии. — Понимание наблюдаемости, оптимизации затрат, надежности и автоматизации инфраструктуры. Образование и опыт: — Степень бакалавра в области компьютерных наук или эквивалентный практический опыт. — Обычно 10+ лет профессионального опыта в разработке ПО с подтвержденным владением крупными или критичными системами.

Задачи: — Архитектура, разработка и поддержка full-stack программных платформ для команд инфраструктуры и операций. — Ведение технического дизайна систем для обработки и анализа инфраструктурных и операционных данных в масштабе. — Разработка backend-сервисов и API для сбора, обогащения и запросов данных. — Создание и поддержка веб-интерфейсов с расширенным поиском и фильтрацией для технических пользователей. — Проектирование и реализация ETL и конвейеров обработки данных для структурированных и полуструктурированных источников. — Обеспечение полной контейнеризации приложений и готовности к продакшену с использованием Docker и Kubernetes. — Выступать техническим авторитетом по вопросам дизайна систем, производительности, надежности и поддержки. — Сотрудничество с платформенными, инфраструктурными, безопасностными и продуктовыми командами для формирования решений в соответствии с долгосрочной стратегией. — Установление и поддержание лучших инженерных практик по тестированию, качеству кода, документации и готовности к эксплуатации. — Ревью дизайнов и кода, предоставление рекомендаций и повышение технического уровня команды. — Выявление системных проблем, снижение технического долга и улучшение масштабируемости платформы и опыта разработчиков. Требования: — Опыт работы на позиции Staff или Senior Full Stack Software Engineer с комплексными производственными системами. — Способность работать самостоятельно в условиях неопределенности и доводить решения до конца. — Сильные навыки backend-разработки, включая дизайн API и работу с интенсивными данными сервисами. — Опыт создания приложений, основанных на данных, включая сбор, трансформацию и анализ. — Владение одним или несколькими backend-языками: C#, Python, Go, Java. — Хорошие навыки SQL и опыт работы с реляционными базами данных. — Практический опыт с Docker и контейнеризацией приложений. — Понимание основ распределенных систем и облачного дизайна приложений. — Опыт работы с CI/CD и современными процессами разработки ПО. — Отличное техническое суждение, коммуникационные навыки и способность влиять без формального авторитета. Предпочтительный опыт: — Проектирование и эксплуатация систем на Kubernetes. — Знакомство с PostgreSQL, MySQL или аналогичными базами данных. — Опыт работы с ETL-конвейерами, аналитическими платформами или инструментами для операционных данных. — Опыт работы с облачными платформами GCP или AWS. — Опыт создания внутренних платформ или инструментов для инфраструктуры, SRE, DevOps или платформенной инженерии. — Понимание наблюдаемости, оптимизации затрат, надежности и автоматизации инфраструктуры. Образование и опыт: — Степень бакалавра в области компьютерных наук или смежной области, либо эквивалентный практический опыт. — Обычно 10+ лет профессионального опыта в разработке ПО с подтвержденным владением крупными или критическими системами.

Задачи: — Архитектура, разработка и поддержка full-stack программных платформ для команд инфраструктуры и операций. — Ведение технического дизайна систем для обработки и анализа инфраструктурных и операционных данных в масштабе. — Разработка backend-сервисов и API для сбора, обогащения и запросов данных. — Создание и поддержка веб-интерфейсов с расширенным поиском и фильтрацией для технических пользователей. — Проектирование и реализация ETL и конвейеров обработки данных для структурированных и полуструктурированных источников. — Обеспечение полной контейнеризации приложений и готовности к продакшену с использованием Docker и Kubernetes. — Выступать техническим авторитетом по вопросам дизайна систем, производительности, надежности и поддержки. — Сотрудничество с платформенными, инфраструктурными, безопасностными и продуктовыми командами для формирования решений в соответствии с долгосрочной стратегией. — Установление и поддержание лучших инженерных практик по тестированию, качеству кода, документации и готовности к эксплуатации. — Ревью дизайнов и кода, предоставление рекомендаций и повышение технического уровня команды. — Выявление системных проблем, снижение технического долга и улучшение масштабируемости платформы и опыта разработчиков. Требования: — Опыт работы на позиции Staff или Senior Full Stack Software Engineer с комплексными производственными системами. — Способность работать самостоятельно в условиях неопределенности и доводить решения до конца. — Сильные навыки backend-разработки, включая дизайн API и работу с интенсивными данными сервисами. — Опыт создания приложений, основанных на данных, включая сбор, трансформацию и анализ. — Владение одним или несколькими backend-языками: C#, Python, Go, Java. — Хорошие навыки SQL и опыт работы с реляционными базами данных. — Практический опыт с Docker и контейнеризацией приложений. — Понимание основ распределенных систем и облачного дизайна приложений. — Опыт работы с CI/CD и современными процессами разработки ПО. — Отличное техническое суждение, коммуникационные навыки и способность влиять без формального авторитета. Предпочтительный опыт: — Проектирование и эксплуатация систем на Kubernetes. — Знакомство с PostgreSQL, MySQL или аналогичными базами данных. — Опыт работы с ETL-конвейерами, аналитическими платформами или инструментами для операционных данных. — Опыт работы с облачными платформами GCP или AWS. — Опыт создания внутренних платформ или инструментов для инфраструктуры, SRE, DevOps или платформенной инженерии. — Понимание наблюдаемости, оптимизации затрат, надежности и автоматизации инфраструктуры. Образование и опыт: — Степень бакалавра в области компьютерных наук или смежной области, либо эквивалентный практический опыт. — Обычно 10+ лет профессионального опыта в разработке ПО с подтвержденным владением крупными или критическими системами.

Samsara is the pioneer of the Connected Operations™ Cloud, a platform that enables organizations that depend on physical operations to harness IoT data to improve safety, efficiency, and sustainability. Key requirements: — proficiency in Go, Python, and JavaScript — bonus: experience with C/C++ (firmware/embedded systems)

Требования: — владение Go, Python и JavaScript — опыт с C/C++ (прошивка/встроенные системы) будет плюсом

Требования: — владение Go, Python и JavaScript — опыт с C/C++ (прошивка/встроенные системы) будет плюсом