Платформенный инженер вакансии - в офисе

Location: Bangalore - Engineering Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? Your mission We see boundless potential in the way we live. It drives the way we work. Our culture is our most valuable asset. It acts like a compass for us. We are fast, immersed, humble and bold. And thatʼs not just words on the walls. Eliminating time-consuming tasks means people get to do more of what they love. Itʼs an inspiring, high stakes challenge that motivates us, and this common passion bonds UiPath employees globally. We all strive every day to be better and to accelerate human achievement. We make software robots, so people donʼt have to be robots. Would you like to be part of this journey? At UiPath's Site Reliability team, we build the platforms and systems the entire company depends on to deliver on our compliance and SLA promises to customers. These span services and tools that enforce cloud access policies, cost governance, observability, operational excellence, and reliability across UiPath. We are scaling each of these pillars, and building the next generation of capabilities on each, powered by AI. This is a software engineering role. You will not be the person who identifies a reliability gap and files a ticket for another team to fix. You are the engineer who identifies the gaps across teams, designs the system that closes it, builds it, ships it, and drives its adoption — often by doing the integration work yourself rather than asking other teams to come to you. You build platforms that other engineers depend on in their critical path, and you hold yourself accountable to outcomes, not outputs. You treat every system you ship as a product: you put it in front of users early, seek feedback aggressively, and iterate until it delivers real results. If adoption is slow, you donʼt blame the docs — you sit with the team, understand the friction, and remove it. What you will be doing at UiPath As a Principal Software Engineer, you will - Design, engineer, and build SRE platform systems and capabilities with cutting-edge AI, treating them as products that other engineering teams depend on in their critical path. - Participate in livesite monitoring rotations, handle escalations, and drive effective mitigations — aggressively reducing customer impact through broad, detailed, and effective postmortems. - Drive availability, scalability, and performance improvements based on livesite learnings. Generate (or codify existing) best practices and ensure they are followed widely across UiPath — not by publishing guidance, but by embedding them into the systems you build. - Ensure technical deliverables meet or exceed expectations on reliability, scalability, quality, and performance. Identify and drive architectural changes that significantly move the needle on these dimensions. - Onboard other teams onto your platforms by driving outcomes yourself — writing the integrations, pairing with their engineers, removing friction — rather than handing off documentation and waiting. - Ship early, seek feedback relentlessly, and iterate fast. Treat every user complaint as a design input, not a support ticket. - Drive task planning, estimation, scheduling, and staffing. - Mentor Software Engineers to develop their skills and knowledge through hands-on coaching, advice, and training opportunities. - Participate in and influence process improvements and best practices across the engineering organization.   What youʼll bring to UiPath - Proven track record (10+ years) of architecting and engineering world-class, large-scale, distributed commercial applications and services, and ensuring customer success. - Experience building large-scale, complex internal platforms adopted by 10+ teams in their critical path at a large company — systems that have stood the test of time, not prototypes that were handed off or abandoned. - Demonstrated ability to drive adoption of your systems by doing the hard work yourself: writing integrations, removing friction for other teams, and measuring success by outcomes delivered — not features shipped. - Experience building and maintaining complex AI-powered applications in production. - Proficiency in one or more object-oriented languages (such as C#, C++, Go, or Python), backed by solid computer science fundamentals. - Deep understanding of data structures, algorithms, multithreading, synchronization, asynchronous patterns, and cloud programming. - Experience with service-oriented and microservice-based architectures, HTTP applications, and web services development. - Familiarity with modern engineering practices including agile development, CI/CD, and DevOps. Ability to work with globally distributed teams. - Experience working with or managing production Kubernetes infrastructure is a plus. - Experience with any of the cloud providers (Azure, AWS, GCP) and managed services (AKS, GKE, etc.) is a must. - Experience with database backends (e.g., Azure SQL, CosmosDB, Azure Data Lake, Power BI, MongoDB, MySQL, DynamoDB, etc.) #LI-VR1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE Humanoid is looking for a hands-on Cloud Infrastructure Engineer to own the continued development, deployment and operation of the existing data platform within Humanoid. The role spans cloud infrastructure, full-stack development, platform engineering and data engineering, with responsibility for turning internal engineering requirements into reliable production systems. You will also lead delivery by external contractors and act as their sole point of contact with Humanoid. You will gather requirements from our internal engineering teams, translate them into technical briefs, oversee implementation and bring completed work back for validation. All contractor questions, feedback and delivery coordination will flow through you, without requiring direct communication between contractors and other Humanoid team members. This role combines substantial engineering work with technical leadership and delivery ownership.   WHAT YOU'LL DO - Own platform delivery: Understand the existing platform architecture, identify the changes needed for Humanoid’s environment and workflows, and take those changes through development, integration, testing and deployment. - Lead external contractors: Define work packages, priorities, technical requirements and acceptance criteria. Review designs and code, resolve technical questions, track delivery and ensure completed work meets Humanoid’s standards. - Connect internal needs to implementation: Work with Humanoid’s engineering teams to understand requirements and constraints. Maintain a clear backlog, communicate tradeoffs and progress, and raise risks or decisions early. - Build and operate cloud infrastructure: Manage compute, storage, networking and environments through infrastructure as code, with attention to security, reliability, performance and cost. - Develop across the stack: Implement and maintain backend services, APIs, integrations and frontend interfaces that support internal users and engineering workflows. - Improve the engineering platform: Build and maintain CI/CD pipelines, automated tests, deployment processes, environment configuration and developer tooling. - Own data workflows: Develop and maintain data ingestion, processing, storage and access pipelines. Address data quality, schema changes, failed jobs and recovery. - Maintain production reliability: Establish monitoring, logging and alerting; investigate incidents; and maintain practical rollback, backup and recovery procedures. - Control access and preserve knowledge: Manage contractor permissions and secrets appropriately. Ensure source code, infrastructure definitions, documentation and operational knowledge remain accessible to Humanoid. - Verify and hand over completed work. Validate contractor deliverables against agreed acceptance criteria and ensure releases include the documentation and support needed for ongoing operation.   WHAT WE'RE LOOKING FOR - Experience building, deploying and operating production software on a major cloud platform. - Strong practical knowledge of infrastructure as code, containers, Linux, networking, identity and access management, and CI/CD. - Solid software engineering skills, including backend services, APIs, databases and the ability to work across frontend and backend code. - Experience with data pipelines, object storage, relational databases and reliable processing of large datasets. - Evidence of taking ownership of an existing platform: understanding unfamiliar code, diagnosing problems and delivering improvements safely. - Experience leading external developers or contractors, including scoping work, reviewing implementation and holding delivery to clear quality standards. - Clear written and verbal communication, with the ability to turn incomplete requirements into actionable technical work. - Sound judgment about what to build directly, what to delegate and when to involve internal engineering specialists. Experience with robotics, machine learning infrastructure, sensor data or internal data platforms would be valuable. We welcome engineers with particular depth in infrastructure or platform engineering who can demonstrate effective delivery across the wider software stack. WHAT SUCCESS LOOKS LIKE? The data platform is deployed reliably within Humanoid and develops in line with internal engineering needs. Contractor work arrives tested, documented and ready to integrate. Internal teams have clear visibility into progress and decisions, while you own the technical context, coordination and follow-through needed to deliver.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

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Задачи: — Прямая работа с CTO: архитектурные и операционные задачи инфраструктуры — Поддержка и развитие кластеров Kubernetes: ArgoCD, Helm, GitLab CI/CD — Код на Go: внутренние утилиты и CLI, экспортеры метрик, операторы и хелперы для платформы, правки в сервисах монорепозитория — Инфраструктура как код — OpenTofu, Ansible — Сетевой контур: маршрутизация, VPN, DNS, TLS, ingress, firewall, сегментация — Docker / docker compose — локальные и staging-окружения разработчиков — Первая линия реакции на инциденты: разбор алертов, эскалация, постмортемы — Базовое администрирование сервисов — доступы, почта, админки Требования: — Kubernetes в проде — не «поднял minikube», а дежурил и чинил — GitLab CI/CD, ArgoCD, понимание GitOps-подхода — Сети — TCP/IP, DNS, NAT, VPN, TLS; умение читать tcpdump и не паниковать — Docker, docker compose — Ansible, OpenTofu (или Terraform) — Linux на уровне уверенного администрирования — Grafana и алертинг — дашборды, метрики и логи, настройка правил алертов, работа с Prometheus / Loki / Alloy — Сбор метрик с сервисов в Kubernetes — экспортеры и sidecar'ы, ServiceMonitor / scrape-конфиги, обвязка приложений метриками, RED/USE-подход к дашбордам — Kafka и NATS — не только «настроить», но и понимать семантику доставки, консьюмер-группы, отставание — Опыт highload и финтеха — платёжные интеграции, деньги, требования к надёжности — Готовность подключаться к инцидентам вне стандартных часов — Английский — документация и переписка Будет плюсом: — Go — умение писать и поддерживать код, а не только читать: утилиты, экспортеры, правки в сервисах — Опыт в iGaming

Location: San Francisco; New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on Modal’s machines layer: the fleet of bare-metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You’ll automate the integration of new capacity from a growing set of hardware providers, from auditing and benchmarking hosts and clusters to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You’ll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You’ll dig into whatever is between the hardware and the software that runs on top of it, whether that is a kernel panic, a broadcast storm during boot, or getting our container runtime to run on new architectures and platforms. WHAT YOU'LL WORK ON: - Automate remediation of unhealthy machines (power cycling, reimaging, GPU recovery) to maximize uptime and minimize operator toil - Automate integration of new CPU, GPU, and storage servers into the fleet while managing hardware and network heterogeneity - Monitor network health and reliability across many datacenters, and standardize bare-metal network configuration - Automate hardware acceptance testing and benchmarking (CPU, disk, GPU, interconnect, network) - Build our custom network bootloader, machine image pipeline, and kernel and firmware management across the fleet YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You’ve operated fleets of physical hardware (bare-metal provisioning, BMC/IPMI, PXE or network boot, firmware) or built the control planes that manage them (the more challenges you’ve worked through, the better) - You have strong cloud skills - You have strong knowledge of low-level operating system foundations (Linux kernel, drivers, networking, file systems, containers, etc.) - You’re effective at debugging across layers, from BGP flapping, Linux RPS, and vBIOS bugs to a Python control-plane service - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents NICE-TO-HAVES: - Experience with GPUs and the NVIDIA software stack in production (drivers, health monitoring, XIDs, RDMA/NVLink) - Prior experience with Go

42 — независимая AI research-лаборатория, создающая универсальные фундаментальные модели для прогнозирования и принятия решений в сложных, быстро меняющихся системах. Стек: Go, Rust, Kafka, Postgres, ClickHouse. Амстердам, Нидерланды. Помощь с переездом.

Location: New York Workplace: OnSite ABOUT ARCA Arca is a wealth management firm built from the ground up with AI. Most people get financial advice that's reactive: an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember. We think that's backwards. The kind of service that used to require a team of specialists behind you, the kind that makes you feel like the only person in the room, should be available to far more than the ultra-wealthy. So we're building it. We're not SaaS — we are the wealth management business, rebuilding it from the inside with AI. Our platform is an Iron Man suit for advisors: it takes over the low-leverage work so they can focus on what actually requires a human, showing up with empathy, context, and judgment. Underneath, it keeps a living understanding of each client. It remembers the thing you mentioned once, six months ago. It notices when your life changes — a new job, a new kid, a market shift — and adjusts before you think to ask. You won't see the technology. You'll just notice your advisor seems to know you better than any financial professional ever has. That's the product we're growing: client by client, on the strength of the experience itself. We started by acquiring firms managing over $1B in client assets, which gave us real advisors, real clients, and real financial outcomes to build against from day one. But acquisition was the starting line. The bet is that an advisor backed by this platform delivers something good enough that clients come to us on their own. It's a $20T market, and we think it's ready to be rebuilt. — Rron, CEO THE RECEIPTS - Stage: Series A, $64M raised - Backed by: General Catalyst, Index Ventures, Venrock - Board & Advisors: Former CEO of Vanguard, Former CFO of Schwab, Founder of Altruist, Morgan Housel (author of The Psychology of Money) THE TEAM We’re small on purpose and engineering heavy: about 80% of the team is technical. We’re based in NYC and hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, & Glean. We’re fully in-office in Flatiron, five days a week—lunch together, coffee breaks, basketball games, happy hours. THE ROLE As a Member of Technical Staff focused on Platform, you'll own the foundation everything else runs on. The infrastructure, backend systems, and developer experience that let a small engineering team ship agents into a regulated, high-stakes domain without slowing down. One framing we keep coming back to: agents are the primary users of our system of record, and they operate at scale, across every client, all the time. That puts unusual demands on the platform underneath — reliability, cost, and performance aren't afterthoughts, they're the product. If you build it, you own it. WHAT YOU'LL BUILD (AND OWN) - Core infrastructure and backend systems. The services, data stores, and APIs that everything else is built on—designed for a workload where non-human agents are the heaviest, most constant users. This is what lets the rest of the team move fast without the ground shifting under them. - Safe execution for agents. The sandbox where agents write and run code and take real actions, plus the controls that let them reach our backend and databases without doing damage—versioned SDKs, scoped permissions, rate limits, isolation. - Developer experience and internal efficiency. The build, test, deploy, and observability tooling that determines how fast a small engineering team can ship. In a team this small, the leverage of good internal tooling is enormous: every hour you save the team compounds across every acquisition we take on. - Performance and cost. The systems that keep agents fast and correct under real load, and keep our infrastructure spend sane as we scale across four or five acquisitions this year. An agent that's slow, flaky, or ruinously expensive to run isn't shippable. EXAMPLE PROBLEMS YOU'D WORK ON These aren't hypothetical; we're actively working on versions of all of these. - A sandbox where agents can safely write and run code. Our agents don't just call APIs—they write and execute code and take real actions. You'll build the sandbox that makes this safe: how we deploy it, how we version the SDKs agents write against, and how we give agents access to our backend and databases without letting them do damage—rate limits, scoped permissions, isolation. Get this right and agents can do far more, far more safely. - Cloud agents that triage and fix bugs. With a small engineering team shipping into a high-stakes domain, engineering time is our scarcest resource. You'll build agents that live in our infrastructure—triaging incoming bugs, reproducing them, localizing the cause, and proposing or landing fixes—so the team spends its time on problems that actually need a human. Internal leverage that compounds across every acquisition. - Powering the M&A acquisition engine. Growth runs through acquiring RIA firms, and every one arrives with its own stack—a CRM last updated in 2011, a proprietary custodian export, IT systems held together by a decade of habit. You'll build the infrastructure that onboards a new firm and its existing systems onto our platform fast, without a bespoke project every time. The faster and cleaner this gets, the faster we grow. - Querying years of portfolio data at agent speed. Agents need to reason over years of portfolio performance history, and they need it instantly—without hammering the systems that keep the product running. You'll build the read paths, stores, and deep integrations with custodians and performance-reporting providers that let agents query deep history quickly while keeping our backend systems isolated and healthy. - Maturing our backend. The platform is live and proven; now it has to scale across four or five acquisitions this year. You'll level up the foundation—data warehouses, pipelines, and the core systems everything runs on—so it holds up as data volume and agent load grow. THE KIND OF PERSON WHO THRIVES HERE You’re excited by ownership, ambiguity, and building things that matter. - You think in systems and take ownership of the whole stack. You're happiest when you understand how something works end to end, and you instinctively leave infrastructure better instrumented and better understood than you found it. You know "tech debt vs. shipping" is a false tradeoff here—the platform is the thing that lets everyone else ship, so its health is a feature, not a chore. - You're ambitious in a way specific to this work. You're building for people who manage real retirement savings and estate plans. "Good enough" means something different here. You'll rebuild something that works because you know it won't hold through the next acquisition—and that standard motivates you more than shipping faster than last sprint. - You move fast, and you know speed and reliability aren't in tension here. Advisors depend on what you build every day. Breaking prod isn't something you wait until Monday to fix. - You're someone people actually want to be in the room with. This is a small, tight-knit team in one office, five days a week, working on problems that don't have clean answers. The people who thrive here want to argue about architecture at lunch and then build something together in the afternoon. Kind, direct, and low-ego, you can give candid feedback without being an asshole, and you're genuinely energized by this environment (not just tolerant of it). WHY NOW IS THE MOMENT TO JOIN This is a narrow window with unusually high leverage. - We just came out of stealth, and we're growing fast. The team is intentionally small, the equity reflects that, and the ceiling is high. You'd be joining early enough that the work you do now directly shapes what the company becomes and what's possible next. - The advisor-facing product is being defined right now, by a small team that talks to advisors every day. We've just brought on our second firm—the real inflection point, where we start separating what generalizes from what was bespoke. The patterns you set become the foundation for every acquisition that follows. - The consumer product is a blank page. We've never built directly for consumers until now—no legacy, no template. Whoever takes this on defines what the experience even is. - The hard part is behind us, which means the interesting part is starting. The platform is live, the concept is proven, advisors have moved real client assets onto it. The work now is scaling a working system across four or five acquisitions this year—workflows, data, agents, reliability under real load.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission.   The Application Infrastructure team enables iOS, Android, Backend, and Web engineers to reliably and quickly deliver new features to members. We own and operate critical shared infrastructure, including Kubernetes and Kafka, and build the tooling and guardrails that allow teams across WHOOP to ship safely at high velocity.   As a Senior Platform Engineer on the AppInfra team, you will play a key role in driving large-scale architecture projects, collaborating with cross-functional teams to design and implement infrastructure that is highly scalable, resilient, and secure. You will build systems that help increase the safety of deployments to Kubernetes while also increasing the velocity of releasing new features. You will be responsible for ensuring optimal performance and stability for the entire software delivery pipeline. You will help set the direction of the AppInfra team to impact engineers across all WHOOP technology stacks.   RESPONSIBILITIES - Design, develop, and operate WHOOP’s Kubernetes clusters running on AWS infrastructure - Drive architectural decisions to improve scalability, resiliency, performance, and security across the build and deployment platform - Build systems and tooling that increase deployment safety and accelerate release velocity to Kubernetes - Advance CI/CD capabilities to support frequent, reliable production deployments - Lead developer productivity improvements through tooling, automation, and platform integrations - Partner with application, security, and data teams to embed secure-by-default infrastructure practices - Participate in incident response, root cause analysis, and postmortems to continuously improve platform reliability - Mentor and provide technical leadership to engineers on the Application Infrastructure team - Help define and execute the long-term roadmap for infrastructure and Kubernetes management at WHOOP QUALIFICATIONS: - 5+ years of experience in DevOps, Platform, Site Reliability, CloudEngineering, or Backend Software Engineering roles - Deep understanding of Kubernetes architecture and core components - Strong knowledge of container networking concepts, including overlay networking, service meshes, and network policies - Experience with multi-cluster Kubernetes environments and inter-cluster communication patterns - Hands-on experience operating cloud infrastructure, preferably in AWS (e.g., IAM, VPC, EC2, S3, RDS, CloudTrail, Organizations) - Hands-on experience with Infrastructure as Code tools (e.g. Terraform) - Experience developing backend or infrastructure-adjacent services using Java, C#, or Python - Proven ability to evaluate system performance, identify bottlenecks, and use data to drive improvements - Experience collaborating with multiple stakeholders and prioritizing work for maximum business impact BONUS QUALIFICATIONS: - Experience operating Kafka or other large-scale distributed systems - Experience with Kubernetes security best practices, including RBAC, secrets management, and pod security standards - Exposure to service reliability practices such as SLOs, SLIs, and error budgets - Prior experience supporting compliance or security-focused infrastructure initiatives ABOUT YOU: - You bring a security-first mindset to everything you build and operate - You enjoy working on infrastructure that enables hundreds of engineers to move faster - You’re comfortable operating in complex, high-scale production environments - You enjoy teaching, mentoring, and raising the technical bar for those around you - You’re curious, adaptable, and excited to learn across a wide range of systems and technologies Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO As a Forward Deployed Infrastructure Engineer at Sierra, and a founding member of this function, you will own the end-to-end lifecycle of customer deployments, while helping define how Sierra’s AI platform is deployed and operated across enterprise environments. You'll work directly with enterprise customers to architect, deploy, upgrade, and manage Sierra's AI platform infrastructure — ensuring every deployment meets their security, compliance, and operational requirements. In addition, you’ll establish the standards, tooling, and processes that make deployments scalable and repeatable, and partner cross-functionally with Engineering, Product, Sales, and Customer Success. This role will define how Sierra scales some of its most complex customer engagements. - Own deployment architecture conversations and execution — designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning. - Manage the full infrastructure lifecycle for some of Sierra’s most critical customers: initial deployment, ongoing upgrades, scaling, and incident support. - Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable. - Partner with engineering teams to ensure Sierra's platform is deployable and operable across diverse customer requirements. - Work with customers' platform engineering, security, and DevOps teams to navigate their infrastructure constraints and compliance requirements. - Collaborate with Sales and Customer Success to scope infrastructure requirements during pre-sales and onboarding, translating customer needs into concrete deployment plans. WHAT YOU'LL BRING - 4+ years of experience in infrastructure, DevOps, platform engineering, or solutions architecture roles — with significant time spent on customer-facing deployment work. - Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing). - Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes. - Ability to navigate ambiguity with enterprise stakeholders — from platform engineers to CISOs — and turn infrastructure conversations into actionable deployment plans. - Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from the start, not as an afterthought. - Comfortable working in a fast-moving environment and collaborating across engineering, product, and go-to-market teams. - Degree in Computer Science or a related field, or equivalent professional experience. EVEN BETTER… - Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. - Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. - Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar). - Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service tooling for enterprise customers. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. About the role We’re looking for a Senior Platform Engineer to own the reliability of our platform and how we deliver software. Our entire platform runs on AWS, spread across multiple regions and dozens of accounts, so strong AWS experience at this scale is the core of the role. You’ll set company-wide standards for CI/CD and GitOps, and run Kubernetes on AWS in production. You’ll also keep the platform available, observable and resilient under real payment traffic. You’ll work closely with the Security and engineering teams, and you’ll help bring AI-driven tooling into how we build and operate systems. What You'll Be Doing Platform reliability. Keep the platform available, resilient and fast. Take part in incident management and the on-call rotation, and run blameless post-incident reviews. Infrastructure. Design, build and run our multi-region, multi-account AWS landscape and the EKS clusters on it. Manage infrastructure as code with Terraform, and manage AWS resources from Kubernetes with AWS Controllers for Kubernetes (ACK). CI/CD and GitOps strategy. Define company-wide CI/CD standards and design reusable pipeline templates. Maintain pipelines across 20+ repositories, and roll out GitOps and progressive delivery (canary, blue/green) with Argo CD. Governance and guardrails. Build security and compliance guardrails into the platform and delivery pipelines, together with the Security team. Observability. Improve monitoring, logging and alerting with VictoriaMetrics, Grafana, Loki, Zabbix, Splunk and PagerDuty. Define SLOs, SLIs and error budgets for critical services. Toil reduction. Build internal tooling and self-service so engineers do less manual work. AI in operations. Find and adopt AI-driven tools for delivery and operations, such as failure prediction and automated root cause analysis. Documentation. Write and maintain configuration standards, runbooks and architecture designs. Qualifications You Bring Extensive, hands-on production experience with AWS. This is our most important requirement. You have designed and run real workloads on EKS, VPC networking, IAM, EC2, RDS, S3 and related services. Experience with GCP or Azure is welcome too, but strong AWS skills are what we need most for this role. Proven experience designing and operating multi-region and multi-account AWS environments. This is mandatory, not a nice-to-have. It includes AWS Organizations, cross-account IAM roles, Transit Gateway or VPC peering, cross-region replication and disaster recovery. 5+ years running production Linux systems, with at least 3 of those years on Kubernetes in production (Docker, Helm) 4+ years designing and running CI/CD at scale with GitLab, Jenkins or GitHub Actions Strong hands-on experience with GitOps and infrastructure-as-code: Argo CD, Terraform Experience managing AWS resources through Kubernetes with AWS Controllers for Kubernetes (ACK) Experience with observability at scale: custom metrics, instrumentation, log aggregation (Loki or similar) and alerting Scripting or programming skills in Python, Go or Bash Working knowledge of PostgreSQL, MongoDB, RabbitMQ, Nginx and Apache Understanding of distributed systems, and experience working in Agile (Scrum) teams Strong written and spoken English A real interest in AI tools and how they can improve engineering work Nice-to-Have: Experience with high-availability, high-volume web services (payments or fintech is a strong plus) Experience running infrastructure in regulated environments under PCI DSS, SOC 2 or ISO/IEC 27001, including taking part in audits and putting the required controls in place A track record of practising SRE with SLOs, SLIs and error budgets eBPF-based observability (Cilium, Hubble, Pixie or similar) Certifications such as AWS DevOps Engineer – Professional or CKA/CKAD A self-directed work style and a habit of automating away recurring work We offer: Attractive monthly salary paid in line with experience Vacation, sick, and paid holidays Flexible working hours Full-time: 5/2 Modern workplace with all necessary equipment A team of top international professionals to learn from Multicultural working environment Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: New York; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you’ll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more, helping them design and ship production infrastructure on Modal’s platform. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We’re looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems. WHAT YOU’LL WORK ON: - Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal - Lead technical discovery and architecture sessions with prospective and existing customers - Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal’s serverless platform - Collaborate with Modal’s product and sales teams, contributing to the platform as both an engineer and a product stakeholder - Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work - Conduct technical demos, experiments, and proofs of concept that make Modal’s infrastructure advantages tangible YOU MAY BE A FIT IF: - You have 3+ years of professional software engineering experience - You have hands-on experience with cloud platforms (AWS, GCP, Azure), including compute, storage, networking, and container orchestration (Docker, Kubernetes) - You’re familiar with distributed systems architecture, data pipelines, and Infrastructure as Code (Terraform, Pulumi, CloudFormation) - You’re a strong communicator who can go deep on systems architecture with an infrastructure team and clearly articulate tradeoffs to technical leadership - You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it - You’re willing to work in person in New York City, San Francisco, or Stockholm NICE-TO-HAVE: - Experience leading large-scale migration efforts, open-source contributions, or side projects you’re proud of