Вакансии

Location: Remote Workplace: Remote ABOUT THE ROLE Wistia helps businesses grow with video, from hosting and a player built for marketing to analytics, webinars, and AI tools that make video easier to create and share. We're hiring a Staff Product Design Lead for Hosting, Wistia's core product. Whether a video is uploaded, recorded in a webinar, or made with our AI creation tools, it's hosted in Wistia for everything that comes after. The hosting team oversees these interconnected customer needs from end-to-end: - Organize their library, so the right video is easy to find, manage, and control access to - Publish it through our player, embeds, and pages that bring video to their websites and audiences - Analyze how it performs, so they know what's working and what to do next Nearly every Wistia customer relies on Hosting. As we expand into webinars, video creation, and agentic workflows, it remains the foundation of our Video Platform. You'll be the design lead for Hosting and report to our VP of Product Design, working closely with Hosting's product and engineering leads to set strategy and decide what we build. You'll also stay hands-on, owning key projects yourself and contributing directly in code alongside your engineering partners on a small, senior, AI-native team. This is a leading individual contributor role with a high degree of autonomy and strategic influence. WHAT YOU'LL DO - Own the design work, end-to-end. Take ambiguous, high-impact problems from discovery to launch, hand in hand with your engineering partners. You'll prototype with whatever tools work best (lately, Claude Design and Wistia’s own internal Agent), create high-fidelity polish where needed whether in design assets or in code, and contribute changes directly (like front-end polish, quality fixes, and smaller features) with our in-house AI agent, Claude Code, or Cursor. - Lead design visions for Hosting. With your product and engineering leads, pick the customer problems and strategic bets worth exploring, then lead the work that makes possible futures tangible, from next-trimester ideas to multi-year north stars (like how organizing, publishing, and analyzing come together as one experience). Visions are one of the ways we stay ambitious, connect work that would otherwise ship as separate features, and decide what's worth pursuing (and what isn't). - Help shape Hosting's strategy. Our pillar leads drive product strategy, drawing on company themes, customer feedback, and market insight. You'll be a key voice in it, bringing design visions, research, and a deep understanding of how customers use Hosting, then help turn priorities into a roadmap that ships customer value quickly. - Raise the quality bar. Champion accessibility, performance, and consistency with our design system across the surfaces customers use most. - Help the team work at its best. Spot what's slowing us down, improve how design and engineering collaborate, and help your partners make the case for the people and resources Hosting needs. WHAT YOU'LL BRING - 8+ years of product design experience, ideally with experience on B2B or SaaS products - A portfolio that shows you leading design across a whole product area, including evolving established products customers already depend on. - Experience as a design lead alongside product and engineering partners: shaping strategy and goals, making tradeoffs, and influencing well beyond your own projects - Strong systems thinking, so you can break large, tangled problems into clear, shippable steps - Hands-on experience building with AI coding tools (Claude Code, Cursor, or similar), and comfort or openness to working in a codebase with branches, pull requests, and code review. - Comfort with data: you define success metrics, use them to make decisions, and design data-rich interfaces people actually understand - Excellent interaction and visual craft, and clear written communication NICE TO HAVE - Experience with video hosting, media, or digital asset management products - Design system or other frontend contributions in code - Analytics or data visualization products - Experience with overseeing multiple project or product areas simultaneously IS THIS ROLE FOR YOU? You'll probably love it here if: - You want real ownership of the product at the foundation of Wistia, and influence over choosing which problems to solve, not just defining the solutions. - You enjoy leading both the big picture and the details of your craft/hands-on work. - You're excited to design and adapt with AI tools in your primary toolkit workflow (Claude Design, coding agents), and for a product where people and AI agents work side by side. - You’re excited to use fresh eyes and intellect to make a well-loved, established product continue to feel fresh and helpful. It might not be the right fit if: - You're looking to manage people, or to step away from hands-on design - You prefer lots of design support around you day-to-day (our product teams are small and senior, so you'll often be the only designer in the room). - You haven't helped translate your designs in code yet and aren't keen to start. COMPENSATION, BENEFITS, AND LOCATION At Wistia, we are building the leading video platform for small and medium B2B businesses, and we know that starts with our team. We support, challenge, and celebrate one another, and we invest deeply in connection. Why? Because strong relationships drive better outcomes, and because work is more meaningful when we genuinely care about the people we do it with. We care a lot, so our benefits are actually benefits, not just the fun stuff like swag and snacks in the office (though we have lots of those too!). We know the biggest investment we can make is in our employees, so we provide: - A competitive compensation package that includes employee stock options - 401k with 3% company contribution, regardless of whether you contribute (Roth 401k available) - Fully paid healthcare, dental, and vision insurance premiums (family plans included) - Pre-tax FSA and Dependent Care Account - 16 weeks of paid parental leave - Flexible Time Off. Everyone should get out of their office to recharge and reboot. - Annual professional development stipend (courses, conferences, and more) - New hire bonus to enhance your home office setup - Pet insurance discount - Fully remote, work from anywhere in the contiguous United States Wistia provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

RoboForce is looking for a Senior / Staff Robotics Controls Engineer to design implement and tune motion and compliance controllers in C++ and validate them on real robot hardware.

RoboForce is looking for Senior / Staff Software Engineers to build software interfaces on-robot runtime systems fleet services and developer tools that make robots reliable and maintainable.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Anthropic grows, more of the work our own teams do every day runs through internal software, and that software has to keep up. We are building that software, and we are building it Claude-first: Claude should take on as much of the repetitive, multi-step work as it safely can, and people decide what needs a human. We’re looking for Staff+ full-stack engineers to drive this work. You’ll build across the stack: the products people use and the agents that work alongside them. You’ll work directly with the teams who rely on what you build. Many of these workflows write to business-critical data, so correctness matters as much as speed. This is a greenfield opportunity: you’ll shape the underlying systems, ship agents that take real work off people’s plates, and design how people and agents get the right context to make good decisions. Key responsibilities Design and ship internal products end to end, from the data model to the UI, for workflows that teams across Anthropic depend on. Put Claude to work on real tasks, such as gathering the context a decision needs, drafting the next step of a multi-step process or keeping records consistent across the systems teams already use, and decide where an agent should act and where a well-designed UI is the better answer. Make agents safe to trust with real work: scoped access to data, guardrails, evals, audit trails, and clear points where a person confirms before anything happens. Build one set of shared capabilities that people and agents both use, exposed as APIs and MCP tools, so the same rules and approvals apply to whoever makes the call. Treat speed and polish as product requirements. Spend time with the people who use what you build, find where their work slows down, and remove those steps. Build for correctness. When a workflow writes to business-critical data, a mistake travels into other systems, so you’ll know where idempotency, reconciliation and audit trails matter and where they don’t. Integrate with the third-party systems teams already rely on, and build the layer on top of them where people and agents get their work done. Set technical direction for a product area over multiple quarters, lead engineers across teams through large, ambiguous projects, and make the engineers around you better through design reviews, code review and mentorship. Operate what you ship: own the reliability of the workflows people depend on and be on call for them. Minimum qualifications Experience shipping production software as a backend-leaning full-stack engineer, comfortable designing a data model, an API and the UI on top of them. Experience building software on LLMs or agents, and a point of view on when an agent should act on its own and when it should ask first. Experience leading the design and delivery of complex, user-facing products across the full stack, through requirements that shifted while you built. Experience designing for correctness and data integrity from the start, in systems where errors are costly and hard to undo. Experience working closely with non-engineering partners, turning ambiguous needs into clear requirements and reaching decisions together. Preferred qualifications Experience building internal tools or platforms that other teams rely on. A plus, not a requirement; strong product generalists are just as welcome. Experience taking an agent into production for a high-stakes workflow, including the evals and guardrails that made it safe to ship. Experience building a zero-to-one product, or rebuilding one that people already depended on every day. Experience building on top of third-party platforms through their APIs, and knowing when to extend a system and when to build your own. 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: $405,000 — $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; Remote (United States); London; Belgrade; New York City ABOUT THE ROLE Perplexity is building cybersecurity products where agents do the security work, not just assist with it. Our security team already runs agents on our own environment every day, across finding vulnerabilities, testing our defenses, securing our cloud, and responding to threats. Now we're turning that work into products for customers, and we expect those products to span application security, offensive testing, cloud security, detection and response, and areas we haven't picked yet. We're looking for a hands-on Software Engineer to build these products end to end, from the security logic and agent workflows to the integrations and product surfaces customers use. You'll ship to design partners and enterprise customers quickly, and you'll work directly with the security engineers who do this work internally, so what we build is grounded in real codebases, real environments, and real attackers. RESPONSIBILITIES - Build security products from zero to one across domains such as application security, penetration testing and offensive security, cloud security, and detection and response. - Build agents that do real security work: review code and find vulnerabilities, test applications and infrastructure like an attacker, assess cloud configurations, and investigate threats, then validate findings and recommend or apply fixes. - Build the systems underneath: multi-tenant services, data pipelines, and secure execution environments that run against customer code, cloud accounts, and telemetry. - Build integrations with the tools customers already use: source control and CI/CD, cloud providers, identity providers, security tools, ticketing, and chat. - Ship the product surfaces customers use: APIs, dashboards, onboarding, and workflows that fit how security and engineering teams actually work. - Hold the product to the same standard we hold ourselves: strong tenant isolation, least privilege, safe handling of customer secrets and data, and tight controls on any agent that acts in a customer environment. - Define how we measure quality (finding accuracy, false positive rate, exploitability, time to fix, cost) and use it to drive improvements. - Work directly with design partners and customers, and help decide which security problems we should build products for next. QUALIFICATIONS - 4+ years of experience as a software engineer building production systems, with meaningful time spent on security products, security data platforms, or security engineering with heavy software development. - Proficiency in at least one major programming language (such as Python, Go, TypeScript, or Rust) and experience owning production services end to end. - Hands-on depth in at least one security domain, such as application security, penetration testing or offensive security, cloud security, or detection and response, and curiosity to work across the others. - Experience integrating with security- or developer-relevant systems such as source control, CI/CD, cloud provider APIs, identity providers, scanners, or SIEMs. - Familiarity with cloud infrastructure (AWS preferred) and building secure, multi-tenant SaaS. - Comfortable working directly with customers and shipping pragmatic improvements quickly in an ambiguous, early-stage product area. - Bonus: experience building LLM-powered agents, evaluation frameworks, or tool-using automation for security or other high-stakes domains. - Bonus: experience at a security product company (AppSec, pentesting, cloud security, detection and response) or on an internal security platform at scale.

Location: San Francisco; Remote (United States); London; Belgrade; New York City ABOUT THE ROLE Perplexity is building cybersecurity products where agents do the security work, not just assist with it. Our security team already runs agents on our own environment every day, across finding vulnerabilities, testing our defenses, securing our cloud, and responding to threats. Now we're turning that work into products for customers, and we expect those products to span application security, offensive testing, cloud security, detection and response, and areas we haven't picked yet. We're looking for a hands-on Software Engineer to build these products end to end, from the security logic and agent workflows to the integrations and product surfaces customers use. You'll ship to design partners and enterprise customers quickly, and you'll work directly with the security engineers who do this work internally, so what we build is grounded in real codebases, real environments, and real attackers. RESPONSIBILITIES - Build security products from zero to one across domains such as application security, penetration testing and offensive security, cloud security, and detection and response. - Build agents that do real security work: review code and find vulnerabilities, test applications and infrastructure like an attacker, assess cloud configurations, and investigate threats, then validate findings and recommend or apply fixes. - Build the systems underneath: multi-tenant services, data pipelines, and secure execution environments that run against customer code, cloud accounts, and telemetry. - Build integrations with the tools customers already use: source control and CI/CD, cloud providers, identity providers, security tools, ticketing, and chat. - Ship the product surfaces customers use: APIs, dashboards, onboarding, and workflows that fit how security and engineering teams actually work. - Hold the product to the same standard we hold ourselves: strong tenant isolation, least privilege, safe handling of customer secrets and data, and tight controls on any agent that acts in a customer environment. - Define how we measure quality (finding accuracy, false positive rate, exploitability, time to fix, cost) and use it to drive improvements. - Work directly with design partners and customers, and help decide which security problems we should build products for next. QUALIFICATIONS - 4+ years of experience as a software engineer building production systems, with meaningful time spent on security products, security data platforms, or security engineering with heavy software development. - Proficiency in at least one major programming language (such as Python, Go, TypeScript, or Rust) and experience owning production services end to end. - Hands-on depth in at least one security domain, such as application security, penetration testing or offensive security, cloud security, or detection and response, and curiosity to work across the others. - Experience integrating with security- or developer-relevant systems such as source control, CI/CD, cloud provider APIs, identity providers, scanners, or SIEMs. - Familiarity with cloud infrastructure (AWS preferred) and building secure, multi-tenant SaaS. - Comfortable working directly with customers and shipping pragmatic improvements quickly in an ambiguous, early-stage product area. - Bonus: experience building LLM-powered agents, evaluation frameworks, or tool-using automation for security or other high-stakes domains. - Bonus: experience at a security product company (AppSec, pentesting, cloud security, detection and response) or on an internal security platform at scale.

As a Staff Software Engineer on the Ecosystem team, you’ll set the technical direction for Boulevard’s external developer platform and its app and integrations ecosystem, then work across teams to make it real. Set the technical strategy for Boulevard’s API and app ecosystem, making sure it supports company goals and partner needs.

Location: Remote Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. Reporting to Sam Pinsak, Privacy’s Product Lead, who oversees both product and marketing, you'll partner closely with your engineering manager, eng lead, and the engineers on your pod, a product designer, and, depending on the work, leads across risk, payment, and dispute ops, compliance, biz ops, and support. The product team is small, senior, and moves fast. This is a hands-on role: you'll own a broad surface and live in the details — writing the specs, pulling the data you need to make a call, staying close to customers, and sitting in planning and grooming with your engineering squad. You're self-sufficient with data day to day and partner with an analyst on the deeper dives, and you lean on AI tooling to do the work of a much bigger team. Every bet ties back to the P&L, scope gets cut hard, and you'll have a short path to the CEO and to real customers. What You’ll Do: Own the roadmap and strategy for a core product surface Own the surface and its year-long roadmap; keep the whole thing moving while going deep where it counts most right now Pick the right problems across that surface and frame them into testable bets with clear outcomes; set the product vision and strategy Act as the default decision-maker for your surface and make cross-area trade-offs; defend your calls under ambiguity at leadership review Drive decisions with data and deep customer + business understanding Own the metrics that roll directly into financial and business outcomes for your surface; know which levers move them and which to pull first to hit a target Reason in contribution-margin and unit-economics terms, not just feature impact; hold a segment-level model of our customers and spearhead the research that resolves high-impact, ambiguous questions Build the dashboards and success metrics other teams adopt, and use data to drive cross-functional buy-in Lead the team and work cross-functionally Lead an engineering squad as its product manager, and influence cross-functional teams to re-prioritize toward your roadmap Turn recurring decisions into playbooks the team reuses; push for configurable systems and AI/tooling patterns that lift the whole team, not just you Communicate clearly from the detail level up to the strategic picture, adapting to your audience; mentor other PMs and raise the team's craft bar What You’ll Bring: Ownership of a product area (or multiple connected areas) end-to-end and set its strategy — not just execution of a roadmap handed to you Demonstrate strong judgment under ambiguity: you pick the right problems, make defensible calls, and know when to walk away from one Fluent in unit economics and how product decisions move the P&L Ability to find the levers that matter in performance data and turn them into a clear story for non-technical audiences Fluent with AI-assisted tools and actively building with them to multiply your own and the team's output Ability to ramp quickly across unfamiliar domains and get to real depth quickly Consumer or D2C product experience; consumer fintech or payments a strong plus, not a requirement Ability to operate autonomously, with strong communication skills, ruthless about scope without sacrificing quality, and humble The annual US salary range for this role is $ 168,000 - $225,000 plus equity. This salary range may be inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate’s experience and qualifications. This is a remote position. However, candidates must be located in the United States. We do not offer visa sponsorship or assistance. Benefits for Full-Time US Employees: Unlimited PTO 12-weeks fully paid parental leave 4-Week Fully Paid Sabbatical (earned at your 5-year anniversary) Work From Anywhere: work from anywhere in the world 4-weeks each year 3% cashback on card purchases with your complimentary Privacy.com employee account Health, vision, and dental insurance; HSA Contribution Match 401(k) match Voluntary Life Insurance and STD/LTD NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs. In-office employees receive: Commuter benefit Catered lunch every Tuesday and Thursday

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the US and Canada. The Opportunity: Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo,  without the overhead of installing, maintaining, and scaling their own observability stack. The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises. As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes. We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities. What You’ll Be Doing: Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives Designing and leading the development of backend services, distributed systems, and enterprise features at scale Driving continuous improvement of our engineering culture through words and actions Driving projects from initial ideation through the development lifecycle to production Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.) Hiring and developing the best engineers to build the future of Grafana Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit: You work well as a communicative member of a team of engineering professionals. You earn trust by saying what you mean and doing what you say. You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards. You insist on the highest standards and work to develop the skills and knowledge of your fellow team members. You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver. You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively. What will you be doing? (Role specifics) As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure. Hiring and developing the best engineers we can to deliver the future of Observability. Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions Advocating for our customers at every stage of the development lifecycle What technical competencies are we looking for? Deep professional experience writing production services, from ideation through to production operations at scale Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture What are your "nice to have" technical competencies? Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy) Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the US and Canada. The Opportunity: Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo,  without the overhead of installing, maintaining, and scaling their own observability stack. The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises. As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes. We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities. What You’ll Be Doing: Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives Designing and leading the development of backend services, distributed systems, and enterprise features at scale Driving continuous improvement of our engineering culture through words and actions Driving projects from initial ideation through the development lifecycle to production Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.) Hiring and developing the best engineers to build the future of Grafana Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit: You work well as a communicative member of a team of engineering professionals. You earn trust by saying what you mean and doing what you say. You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards. You insist on the highest standards and work to develop the skills and knowledge of your fellow team members. You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver. You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively. What will you be doing? (Role specifics) As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure. Hiring and developing the best engineers we can to deliver the future of Observability. Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions Advocating for our customers at every stage of the development lifecycle What technical competencies are we looking for? Deep professional experience writing production services, from ideation through to production operations at scale Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture What are your "nice to have" technical competencies? Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy) Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Responsibilities: — Build observability systems and telemetry pipelines to monitor and improve the efficiency, reliability, and workload goodput of accelerator fleets used for machine learning training and inference. Requirements: — Experience with infrastructure and programming related to Kubernetes, TPU, GPU, cloud platforms (GCP), observability, telemetry, and reliability. Benefits: — Hybrid work format in London. The role focuses on improving accelerator fleet performance for ML workloads through advanced telemetry and observability engineering.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry helps developers identify and resolve issues in their applications. Behind our products is a complex foundation of distributed systems, cloud infrastructure, and services that must perform reliably at scale. Our Platform and Infrastructure Engineering teams build and operate the systems that power Sentry. From cloud infrastructure, distributed storage, and real-time event processing to service reliability, scalability, and developer productivity, these teams provide the technical foundation that enables our products and engineering organization to grow. We're looking for Staff Software Engineers to tackle some of Sentry's most challenging infrastructure and distributed systems problems. Depending on your experience and interests, you might work on scaling our real-time event processing systems, improving the reliability and efficiency of our cloud infrastructure, or designing and building foundational services that support our products. In this role, you'll have the autonomy to identify important technical problems, lead solutions from design through production, and influence engineering decisions beyond your immediate team. We're looking for engineers who enjoy solving difficult problems, remain hands-on with the systems they build, and take pride in delivering meaningful technical impact. IN THIS ROLE, YOU WILL - Design, build, and operate reliable, scalable distributed systems that support Sentry's products and engineering teams. - Own technically complex projects from identifying problems and defining solutions through implementation, deployment, and production operations. - Solve challenging engineering problems involving system architecture, performance, scalability, reliability, and operational efficiency. - Make thoughtful architectural decisions, evaluating tradeoffs between performance, complexity, maintainability, and long-term scalability. - Proactively identify technical challenges and opportunities for improvement, including problems without clearly defined requirements or established solutions. - Stay hands-on with engineering, contributing production-quality code, reviewing designs, and helping resolve complex technical issues. - Collaborate with engineers and technical leaders across teams to influence technical direction, establish engineering standards, and drive improvements. - Share technical knowledge, mentor other engineers, and help strengthen engineering practices across the organization. YOU'LL LOVE THIS JOB IF YOU - Enjoy solving difficult technical problems where the solution isn't immediately obvious. - Like designing and building systems that operate reliably at scale. - Thrive on taking ownership of complex engineering challenges, from initial design through production. - Balance hands-on engineering with technical leadership and enjoy influencing decisions without formal authority. - Think critically about architectural tradeoffs and favor pragmatic, maintainable solutions over unnecessary complexity. - Take initiative in identifying important problems rather than waiting for projects to be assigned. - Enjoy collaborating with talented engineers, sharing knowledge, and raising the bar for engineering quality. - Find satisfaction in shipping meaningful improvements and seeing the impact of your work in production. QUALIFICATIONS - 8+ years of software engineering experience, with a strong background in designing, building, and operating distributed systems or infrastructure. - Strong software engineering fundamentals and proficiency in at least one programming language, such as Python, Go, Java, or a comparable language. - Experience designing and implementing technically complex systems, with a track record of delivering meaningful engineering outcomes. - Hands-on experience with cloud infrastructure and services, such as AWS, GCP, or Azure. - Demonstrated ability to independently own complex technical projects, navigate ambiguity, and drive solutions from design through production. - Deep technical experience in one or more of the following areas: - Cloud Infrastructure: Kubernetes, container orchestration, Terraform, infrastructure as code, networking, or service discovery. - Distributed Systems: Distributed architectures, fault tolerance, consistency, replication, or high-availability systems. - Data Infrastructure: Kafka, real-time streaming, distributed storage, OLAP/OLTP databases, or large-scale data processing. - Infrastructure Reliability: Observability, performance optimization, capacity planning, incident response, or production operations. - Developer Infrastructure: CI/CD systems, build and deployment infrastructure, developer environments, or internal developer platforms. - Strong architectural judgment, with the ability to evaluate technical tradeoffs and design systems for reliability, performance, and long-term maintainability. - Ability to communicate complex technical concepts clearly, collaborate effectively, and influence technical decisions across engineering teams. - Experience improving engineering practices, sharing technical knowledge, or helping other engineers grow. We recognize that strong engineers come from different backgrounds. You don't need experience in every technology or domain listed above. We're interested in candidates who bring meaningful technical depth, strong engineering judgment, and a track record of solving challenging problems. The base salary range that Sentry reasonably expects to pay for this position is $240,000 to $400,000, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Singapore Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Grow With Us We are a team from UC Berkeley, Cornell, SJTU, Cambridge, and NUS, with broad industry experience from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team builds innovative cloud technology solutions that empower local businesses to thrive and better serve the deskless workforce in their communities. We're looking for an experienced Senior Staff Software Engineer to shape our engineering strategy, lead complex initiatives across multiple teams, and drive architectural excellence across the organization. This role is ideal for a highly experienced technical leader who combines deep engineering expertise, strong architectural judgment, and the ability to translate complex business challenges into scalable technical solutions. This is a full-time, hybrid position requiring 1 day per week in the office to support close cross-functional collaboration. Day in the Life: Architect and deliver strategic engineering initiatives spanning multiple squads, coordinating parallel execution across engineers and AI agents. Own multi-squad systems architecture and establish technical direction, ensuring solutions are scalable, secure, reliable, and cost-effective. Solve complex, organization-wide engineering challenges and drive architectural improvements that benefit multiple teams. Lead critical technical escalations and complex system incidents, driving effective recovery and long-term reliability improvements. Shape AI adoption strategies across engineering teams, including AI-assisted development, automated incident response, and production safeguards. Partner with engineering leaders, Product, and business stakeholders to translate ambiguous business problems into technical strategies that support organizational goals. Establish engineering best practices, mentor technical leads, and raise engineering standards through influence and collaboration. Who You Are: 10 to 12+ years of experience building, architecting, and scaling complex production software systems. Deep expertise in at least one mainstream programming language (JavaScript/TypeScript, Python, Java, Go, Ruby, PHP, C#, etc.), with the ability to work across different technology stacks. Excellent computer science fundamentals, problem-solving skills, and architectural design capabilities. Proven experience owning complex systems and driving technical architecture and initiatives across multiple engineering teams. Strong understanding of distributed systems, system scalability, security, performance, and architectural trade-offs. Demonstrated ability to lead high-impact engineering projects, manage critical technical escalations, and make sound decisions under pressure. Strong strategic thinking and communication skills, with the ability to influence engineering direction and align technical decisions with business objectives. Proven ability to mentor senior engineers and technical leads while building ownership and technical capabilities across teams. Experience driving engineering improvements, technical standards, and organizational adoption of new technologies. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Nice to Have: Experience with Ruby on Rails or Node.js. Experience with both is a plus. Familiarity with React, TypeScript, PostgreSQL, MongoDB, and Redis. Experience with AWS, Terraform, microservices, and distributed systems. Experience implementing AI-assisted engineering workflows, agent-driven development, or AI-powered incident management. Experience working with globally distributed engineering teams across multiple time zones. What We Offer: Hybrid setup/WFH schedule Monthly salary paid directly to your bank account Health insurance coverage Flexible paid time off (PTO) Flexible working hours Observance of Singapore public holidays Company-provided work device CPF contributions and tax processing handled by Workstream Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Location: Shanghai and Chengdu Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Grow With Us We are a team from UC Berkeley, Cornell, SJTU, Cambridge, and NUS, with broad industry experience from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team builds innovative cloud technology solutions that empower local businesses to thrive and better serve the deskless workforce in their communities. We're looking for an experienced Senior Staff Software Engineer to shape our engineering strategy, lead complex initiatives across multiple teams, and drive architectural excellence across the organization. This role is ideal for a highly experienced technical leader who combines deep engineering expertise, strong architectural judgment, and the ability to translate complex business challenges into scalable technical solutions. This is a full-time, hybrid position requiring 1 day per week in the office to support close cross-functional collaboration. Day in the Life: Architect and deliver strategic engineering initiatives spanning multiple squads, coordinating parallel execution across engineers and AI agents. Own multi-squad systems architecture and establish technical direction, ensuring solutions are scalable, secure, reliable, and cost-effective. Solve complex, organization-wide engineering challenges and drive architectural improvements that benefit multiple teams. Lead critical technical escalations and complex system incidents, driving effective recovery and long-term reliability improvements. Shape AI adoption strategies across engineering teams, including AI-assisted development, automated incident response, and production safeguards. Partner with engineering leaders, Product, and business stakeholders to translate ambiguous business problems into technical strategies that support organizational goals. Establish engineering best practices, mentor technical leads, and raise engineering standards through influence and collaboration. Who You Are: 10 to 12+ years of experience building, architecting, and scaling complex production software systems. Deep expertise in at least one mainstream programming language (JavaScript/TypeScript, Python, Java, Go, Ruby, PHP, C#, etc.), with the ability to work across different technology stacks. Excellent computer science fundamentals, problem-solving skills, and architectural design capabilities. Proven experience owning complex systems and driving technical architecture and initiatives across multiple engineering teams. Strong understanding of distributed systems, system scalability, security, performance, and architectural trade-offs. Demonstrated ability to lead high-impact engineering projects, manage critical technical escalations, and make sound decisions under pressure. Strong strategic thinking and communication skills, with the ability to influence engineering direction and align technical decisions with business objectives. Proven ability to mentor senior engineers and technical leads while building ownership and technical capabilities across teams. Experience driving engineering improvements, technical standards, and organizational adoption of new technologies. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Nice to Have: Experience with Ruby on Rails or Node.js. Experience with both is a plus. Familiarity with React, TypeScript, PostgreSQL, MongoDB, and Redis. Experience with AWS, Terraform, microservices, and distributed systems. Experience implementing AI-assisted engineering workflows, agent-driven development, or AI-powered incident management. Experience working with globally distributed engineering teams across multiple time zones. What We Offer: A mission-driven and value-based company dedicated to empowering deskless workers and local businesses An early employee opportunity at a Series B hyper-growth startup Work with the founding team and industry veterans to accelerate your career Competitive salary and equity Comprehensive health coverage In-office amenities and stocked kitchen Flexible PTO Hybrid Office/WFH schedule Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Location: Singapore Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Grow With Us We are a team from UC Berkeley, Cornell, SJTU, Cambridge, and NUS, with broad industry experience from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team is composed of passionate, driven, and talented engineers who focus on building and innovating cloud technology solutions that empower local businesses to thrive and better serve the deskless workforce in their communities. We're looking for an experienced Staff Software Engineer to help shape our technical direction, solve complex engineering challenges, and elevate how our teams build software. This role is ideal for a seasoned engineer who combines deep technical expertise with strong architectural judgment, excellent problem-solving skills, and the ability to lead through influence. This is a full-time, hybrid position to support close cross-functional collaboration. Day in the Life: Lead complex engineering initiatives, coordinating work across engineers and AI coding agents to ensure high-quality, predictable delivery. Own squad architecture and technical direction, designing scalable solutions and reusable components. Drive engineering excellence through design reviews, code quality, system reliability, and continuous improvement. Design and improve AI-augmented engineering workflows, including code generation, testing, and documentation. Partner with Engineering, Product, and cross-functional teams to translate business needs into effective technical solutions. Mentor engineers, resolve complex technical challenges, and influence engineering practices across teams. Who You Are: 10+ years of experience building, architecting, and scaling production software systems. Deep expertise in at least one programming language (JavaScript/TypeScript, Python, Java, Go, Ruby, PHP, C#, etc.), with the ability to adapt across different technology stacks. Strong computer science fundamentals, excellent problem-solving skills, and sound architectural judgment. Proven ability to lead complex engineering initiatives, coordinate work across engineers, and drive predictable delivery. Experience designing scalable, reusable solutions and making sound technical trade-offs between short-term needs and long-term value. Familiarity with AI-assisted development tools and AI-augmented engineering workflows. Strong technical leadership and communication skills, with the ability to mentor engineers and influence cross-functional stakeholders. Experience owning production systems, overseeing deployments, and driving system reliability and continuous improvement. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Nice to Have: Experience with Ruby on Rails or Node.js. Experience with both is a plus. Familiarity with React, TypeScript, PostgreSQL, MongoDB, and Redis. Experience with AWS, Terraform, microservices, and distributed systems. Experience working with globally distributed engineering teams across multiple time zones. What We Offer: Hybrid setup/WFH schedule Monthly salary paid directly to your bank account Health insurance coverage Flexible paid time off (PTO) Flexible working hours Observance of Singapore public holidays Company-provided work device CPF contributions and tax processing handled by Workstream Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Location: Shanghai and Chengdu Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Grow With Us We are a team from UC Berkeley, Cornell, SJTU, Cambridge, and NUS, with broad industry experience from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team is composed of passionate, driven, and talented engineers who focus on building and innovating cloud technology solutions that empower local businesses to thrive and better serve the deskless workforce in their communities. We're looking for an experienced Staff Software Engineer to help shape our technical direction, solve complex engineering challenges, and elevate how our teams build software. This role is ideal for a seasoned engineer who combines deep technical expertise with strong architectural judgment, excellent problem-solving skills, and the ability to lead through influence. This is a full-time, hybrid position requiring 1 day per week in the office to support close cross-functional collaboration. Day in the Life: Lead complex engineering initiatives, coordinating work across engineers and AI coding agents to ensure high-quality, predictable delivery. Own squad architecture and technical direction, designing scalable solutions and reusable components. Drive engineering excellence through design reviews, code quality, system reliability, and continuous improvement. Design and improve AI-augmented engineering workflows, including code generation, testing, and documentation. Partner with Engineering, Product, and cross-functional teams to translate business needs into effective technical solutions. Mentor engineers, resolve complex technical challenges, and influence engineering practices across teams. Who You Are: 10+ years of experience building, architecting, and scaling production software systems. Deep expertise in at least one programming language (JavaScript/TypeScript, Python, Java, Go, Ruby, PHP, C#, etc.), with the ability to adapt across different technology stacks. Strong computer science fundamentals, excellent problem-solving skills, and sound architectural judgment. Proven ability to lead complex engineering initiatives, coordinate work across engineers, and drive predictable delivery. Experience designing scalable, reusable solutions and making sound technical trade-offs between short-term needs and long-term value. Familiarity with AI-assisted development tools and AI-augmented engineering workflows. Strong technical leadership and communication skills, with the ability to mentor engineers and influence cross-functional stakeholders. Experience owning production systems, overseeing deployments, and driving system reliability and continuous improvement. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Nice to Have: Experience with Ruby on Rails or Node.js. Experience with both is a plus. Familiarity with React, TypeScript, PostgreSQL, MongoDB, and Redis. Experience with AWS, Terraform, microservices, and distributed systems. Experience working with globally distributed engineering teams across multiple time zones. What We Offer: A mission-driven and value-based company dedicated to empowering deskless workers and local businesses An early employee opportunity at a Series B hyper-growth startup Work with the founding team and industry veterans to accelerate your career Competitive salary and equity Comprehensive health coverage In-office amenities and stocked kitchen Flexible PTO Hybrid Office/WFH schedule Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Location: London; Belgrade; Ireland Keeping a crawler running is not the same as keeping it productive. Queues can grow while servers look healthy, and a small change can become a fleet-wide bottleneck. On Perplexity's Crawler team, you'll improve throughput, plan capacity, and build operational reliability through safer deployments, better observability, and durable fixes. Responsibilities - Operate and optimize Kubernetes workloads and supporting infrastructure for crawler services, including fetching and rendering fleets. - Build and maintain infrastructure as code and CI/CD pipelines, with safe rollouts, validation, and fast rollback. - Define SLOs and build monitoring, alerting, and observability for availability, latency, throughput, and resource saturation. - Own capacity planning and resource efficiency; diagnose queue backlogs, network failures, and resource bottlenecks with service owners. - Participate in the team's on-call rotation, lead incident response, and turn blameless postmortems into durable reliability improvements. - Write production software to automate diagnosis and routine remediation, with validation and approval gates for high-impact actions. Qualifications - 5+ years of experience in SRE, production engineering, or infrastructure-heavy backend roles, with strong programming skills in Python, C++, Rust, or Go. - Hands-on experience with cloud infrastructure, production Kubernetes, infrastructure as code such as Terraform, and automated deployment workflows. - Strong Linux and networking fundamentals, including TCP/IP, DNS, TLS, HTTP, and load balancing. - Experience building observability with tools such as Datadog, Prometheus, or Grafana, and using SLOs to guide reliability improvements. - Proven experience diagnosing distributed-system failures, leading production incidents, and improving system performance or resource efficiency. Nice to have - Experience operating web crawlers, search infrastructure, or browser fleets at scale. - Experience with distributed queues, backpressure, workload isolation, or multi-region recovery.

Location: London; Belgrade; Ireland Keeping a crawler running is not the same as keeping it productive. Queues can grow while servers look healthy, and a small change can become a fleet-wide bottleneck. On Perplexity's Crawler team, you'll improve throughput, plan capacity, and build operational reliability through safer deployments, better observability, and durable fixes. Responsibilities - Operate and optimize Kubernetes workloads and supporting infrastructure for crawler services, including fetching and rendering fleets. - Build and maintain infrastructure as code and CI/CD pipelines, with safe rollouts, validation, and fast rollback. - Define SLOs and build monitoring, alerting, and observability for availability, latency, throughput, and resource saturation. - Own capacity planning and resource efficiency; diagnose queue backlogs, network failures, and resource bottlenecks with service owners. - Participate in the team's on-call rotation, lead incident response, and turn blameless postmortems into durable reliability improvements. - Write production software to automate diagnosis and routine remediation, with validation and approval gates for high-impact actions. Qualifications - 5+ years of experience in SRE, production engineering, or infrastructure-heavy backend roles, with strong programming skills in Python, C++, Rust, or Go. - Hands-on experience with cloud infrastructure, production Kubernetes, infrastructure as code such as Terraform, and automated deployment workflows. - Strong Linux and networking fundamentals, including TCP/IP, DNS, TLS, HTTP, and load balancing. - Experience building observability with tools such as Datadog, Prometheus, or Grafana, and using SLOs to guide reliability improvements. - Proven experience diagnosing distributed-system failures, leading production incidents, and improving system performance or resource efficiency. Nice to have - Experience operating web crawlers, search infrastructure, or browser fleets at scale. - Experience with distributed queues, backpressure, workload isolation, or multi-region recovery.