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Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Senior NPI Mechanical Engineer to help establish our mechanical New Product Introduction (NPI) practices from the ground up, guiding hardware programs from concept through early production readiness. In this role, you will be the technical authority on manufacturability, working closely with design, quality, and supply chain teams to build the frameworks, processes, and discipline that let us scale from prototype and beta builds toward repeatable, larger-volume production. You will stand up quality processes and defect-reduction practices sized to where we are today, and own supplier relationships from sourcing through qualification and issue resolution. This is a hands-on, cross-functional role at the intersection of design, manufacturing, and quality, for an experienced mechanical engineer who thrives on creating structure out of ambiguity as much as executing within it. WHAT YOU'LL DO New Product Introduction (NPI) - Lead mechanical NPI activities across the full product lifecycle, from concept and early prototyping through pilot builds, ramp, and sustained production. - Partner with design engineering to review designs for manufacturability, assembly, and testability (DFM/DFA/DFT), influencing decisions early enough to avoid costly late-stage changes. - Help define and stand up a lightweight, right-sized gate process (EVT/DVT/PVT-equivalent) for our stage, then own the mechanical engineering deliverables (build plans, test protocols, readiness criteria) at each gate as it matures. - Coordinate cross-functionally with electrical engineering, industrial design, quality, supply chain, and program management to keep NPI programs on schedule and within budget. Manufacturing Scalability - Evaluate and select manufacturing processes, tooling, and fixturing appropriate for our current build volumes, with an eye toward what will and won't scale as we grow from beta to production - Identify and resolve bottlenecks in prototype and early pilot builds, laying the groundwork for the throughput and yield improvements we'll need as volume increases. - Develop and validate assembly processes, work instructions, and line layouts in partnership with contract manufacturers and internal operations teams- largely from scratch, not by inheriting existing documentation. - Lead design-for-scale reviews to anticipate and mitigate risks before they impact volume production. Quality & Defect Reduction - Lead defect triage and containment efforts during prototype and pilot builds, partnering with quality engineering — or building that partnership where it doesn't yet exist — to close the loop on recurring issues. - Define and begin tracking foundational quality metrics appropriate to our build volumes (e.g., first-pass yield, defect rate per build, open issues by severity), evolving toward more statistically rigorous measures like DPPM and field return rates as volumes grow. - Establish and drive quality processes across the NPI lifecycle, including FMEA, root cause analysis, and corrective/preventive action (CAPA) programs. - Champion a culture of proactive quality, embedding lessons learned from prior programs into new product designs. Supplier Management - Lead supplier sourcing, qualification, and onboarding for mechanical components, subassemblies, and tooling. - Conduct supplier audits and capability assessments to ensure suppliers can meet cost, quality, and volume requirements. - Manage ongoing supplier relationships, including performance reviews, issue resolution, and escalation management. - Negotiate and align on technical requirements, specifications, and quality agreements with suppliers and contract manufacturers. WHAT WE'RE LOOKING FOR - Bachelor's degree in Mechanical Engineering or a related field. - 10+ years of mechanical engineering experience, including significant time in NPI roles- ideally including experience both scaling hardware through high-volume manufacturing and standing up NPI processes from scratch in an early-stage or low-volume environment. - Demonstrated track record of taking products from concept through mass production, ideally in robotics, consumer electronics, or complex electromechanical systems. - Strong working knowledge of DFM/DFA/DFT principles, GD&T, and manufacturing processes (injection molding, sheet metal, machining, casting, etc.). - Hands-on experience with quality methodologies such as FMEA, 8D, root cause analysis, and SPC. - Proven experience managing supplier relationships, including sourcing, qualification, and issue resolution. - Experience standing up or scaling manufacturing lines at contract manufacturers. - Excellent cross-functional collaboration and communication skills, with the ability to influence design decisions and align diverse stakeholders. - Willingness to travel to supplier and manufacturing sites as needed (domestic and/or international). Preferred Qualifications: - Experience in robotics, automation, or other complex mechatronic products. - Familiarity with PLM/ERP systems and NPI program management tools. - Six Sigma or equivalent quality certification. - Experience with regulatory and safety compliance requirements relevant to robotics hardware (e.g., UL, CE, ISO). WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $150K–$190K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

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 is looking for an Engineering Manager to lead our Growth team (internally called "Value Discovery") and help expand our product-led business by helping customers discover and get the most out of our platform. At Sentry, we do growth with an explicit bias for customer value. Our experiments are rooted in strong product sense and empathy for developers, not conversion pressure. We never surprise developers with new charges or push features they don't need. In a binary tradeoff between doing good by the customer or good by the business, the customer always wins. You'll collaborate closely with several areas of the business including Product, BizOps, Data, Design, and GTM to identify the moments in a developer's workflow where Sentry can deliver more value, make that value easier to find, and support that your approach works with data. IN THIS ROLE YOU WILL You'll lead a team of engineers, set its priorities, and be accountable for the metrics it moves. This is a new role, and the roadmap is yours to define and execute in partnership with design and data teams. - Lead work across Sentry's self-serve funnel — signup and onboarding, first-run activation moments in-product, trial and upgrade paths, and pricing and billing surfaces in partnership with the Billing team — largely in our Python/Django and TypeScript/React codebase - Evolve our experimentation foundations, in close partnership with our Data team — flagging, instrumentation, and readouts are real but far from finished - Run a fast, disciplined experimentation loop where hypotheses are argued before they're built - Hold conversion and activation alongside churn, support volume, and 90-day retention, and report all of them — including the experiments that come back flat - Grow the engineers on your team, including the underrated skill of doing excellent work on something that might be deleted next week YOU’LL LOVE THIS JOB IF YOU - Believe Growth done well is a form of customer service, not a conversion engine - Would rather ship one well-argued hypothesis than five cheap tests, and can tell the difference before the results come in - Love digging into data to find insights but form your best hypotheses from empathizing with customers - Enjoy the challenge of understanding developer workflows deeply enough to know where and when a change creates value - Want to build the measurement foundation rather than inherit one, and have opinions about what a team should/shouldn't bother instrumenting - Are comfortable being the person who says the result doesn't hold up QUALIFICATIONS - 3+ years managing engineers, including time owning a metric-driven team, on top of a strong engineering background - Technically credible with senior engineers — our EMs engage substantively in architecture and technical decisions, and every EM passes a technical assessment at a senior IC bar - Strong product sense — you identify where a change will create the most value, not just where a metric can be moved - Experience helping users get the most out of a complex product - Working fluency with experimentation frameworks, feature flags, A/B testing, and analytics instrumentation - Able to talk to users credibly about their workflows, tooling, and pain points, with genuine opinions about the developer tools you've used - Bonus: you've worked on growth at a developer tools company, built experimentation infrastructure from a low starting point, or run experiments at volumes where significance wasn't guaranteed The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $220,000 to $450,000. 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/.

Roundz.ai is an AI platform for conducting technical interviews and automatically screening candidates, designed specifically for the IT industry and engineering hiring.

Synthesia Roleplay Sessions is a training tool that lets people practice real conversations with AI avatars. Instead of just watching training videos, learners do interactive roleplay exercises, like practicing a sales pitch or handling a customer complaint with an AI coach. The AI gives instant feedback so people know what they did well and what to improve. Managers can use a dashboard to track which employees have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during roleplay, score their performance, generate helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product-focused software developer as you will be expected to work on different products. Please bring with you: — Ability to apply your machine learning knowledge to solve real product problems. — At least seven (7) years of experience as a software engineer, with at least 2 years at senior level. — Experience in a high-performing engineering team operating at scale, whether in a scale-up or established organisation recognised for strong engineering culture. — Strong alignment with commercial success. — Pragmatism and bias towards action. — Comfort with fast iteration. Why join us? — We’re living the golden age of AI. — Our culture is focused on building and empowering people to work fast. — Serving 50,000+ customers including 50% of the Fortune 500. — Proprietary AI technology built in-house by world-class AI researchers and engineers. — Commitment to AI safety, ethics, and security. The hiring process includes: — Tech Recruiter Interview (30-40min) covering technical background and experience. — Delivery and Impact Interview (60min) deep dive into past projects and impact. — Technical Rounds including Work Scenario Round (75-90min) and System Design Technical Discussion (60min). — Leadership Retrospective (60min) discussing collaboration, growth, and role expectations. — Final debrief leading to offer or end of process. Other important info: — Preference for role based in-office or remote in UK, Germany, Switzerland or Ireland, with possible support for remote workers elsewhere in Europe. — Salary starts at EUR/GBP/CHF 120,000 base plus RSUs. — Full-time employment only, no contractors. — 25 days of leave plus local holidays.

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Control Engineer to join our Controls Team in Vancouver, focusing on SW control development and integration of robotic actuators and sensors. You will be responsible for designing, implementing, and validating joint- and actuator-level controllers that deliver high precision, responsiveness, and safety for complex robotic mechanisms. The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working across the full stack from real-time embedded control up through networking, kinematics/dynamics, and browser-based debugging tooling. You will work closely with other control and hardware engineers to model, tune, and optimize the behavior of real robots and their subsystems (i.e. limbs and end-effectors).   WHAT YOU’LL DO Low-Level Control Development - Tune and validate actuator - and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF systems in ROS2. - Work across EtherCAT/CAN and Linux networking (TCP/IP, DDS discovery, time sync) to ensure deterministic, safe real-time operation. - Implement safety and fault-handling mechanisms for dynamic conditions. Modeling, Kinematics & System Identification - Build and identify models of actuators, transmissions, and mechanisms — including parallel mechanisms like differential wrists/ankles — for control design and simulation. - Apply rigid body kinematics/dynamics and numerical IK/FK methods; work from URDF/Xacro and MJCF, interpreting mechanical drawings and geometry. Software & Systems Integration - Write real-time-safe, object-oriented C++ (lock-free structures, thread safety) for control and diagnostics. - Design and debug multi-layer control architectures. - Maintain CMake build/dependency tooling and Python test harnesses; build lightweight browser-based tools (HTML/JS/WebSocket) for hardware debugging. Sensor & Hardware Integration - Integrate and calibrate a range of sensors (F/T sensors, tactile sensors, IMUs, etc.) with real-time acquisition and processing across the control stack. - Hands-on hardware bring-up and debugging. Cross-Disciplinary Collaboration - Close the loop with mechanical/electronics engineers across sites on actuation requirements; - Support hardware bring-up, calibration, and performance testing.   WHAT WE'RE LOOKING FOR - M.S. or Ph.D. in Control Engineering, Robotics, Mechanical Engineering, or Electrical Engineering with 5+ years in robotic or mechatronic systems — equivalent practical experience counts. - Shipped real-time-safe, object-oriented C++ control software running on real hardware, in production or a serious research programme. - Tuned and validated controllers on physical actuators, including sensor calibration and bring-up — with a story about something that behaved nothing like the model and what you did about it. - Debugged at the fieldbus and OS layer: EtherCAT (PDO/SDO, timing constraints) or CAN, on an RTOS or real-time Linux. - Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro. PREFERRED QUALIFICATIONS - BLDC motor control (commutation, current control, torque optimization) - ros2_control internals (hardware interfaces, controllers, controller_manager, plugins, lifecycle nodes). - Parallel mechanisms specifically (differential wrist, parallel ankle), robotic hands, or other multi-DoF end-effectors. - System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Gazebo); MJCF. - Experience with dynamic system modeling and simulation at the actuator and transmission level. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

ChillBase — геймдев-студия, специализирующаяся на разработке мобильных мидкор-игр (Action RPG) и масштабных симуляторов жизни (например, OneState). Офис в Алматы, Казахстан. Предоставляется помощь при переезде.

Задачи: — Разработка и поддержка автотестов на уровнях UI и E2E с использованием TypeScript и Playwright — Выполнение ручного тестирования веб-приложений и API; участие в регрессионном и smoke-тестировании — Выявление, локализация и документирование дефектов; анализ и документирование результатов тестирования — Выполнение нагрузочного тестирования — Взаимодействие с разработчиками и командой по вопросам качества продукта — Работа с Jira, Confluence, Jenkins; применение AI-инструментов для генерации тест-кейсов и тестовых данных Требования: — Опыт в QA от 3 лет на TypeScript / JavaScript — Практический опыт с Playwright и разработкой E2E-тестов — Опыт ручного тестирования веб-приложений и API; понимание REST и SOAP — Знание SQL и принципов работы реляционных баз данных — Уверенное владение Git; понимание HTML и CSS — Знание основных принципов разработки и тестирования ПО; понимание Agile (Scrum, Kanban) Условия: — Оформление по ТК РФ или ИП — Техника предоставляется — ДМС со стоматологией — Компенсация фитнеса — Скидки на обучение, кино, Skyeng — Индексация зарплаты

XUND is a medical technology company that builds AI-powered digital health assistants to digitize the patient journey from the first symptoms to treatment. Work format: Remote or on-site in Vienna, Budapest, Berlin.

Задачи: — Архитектура новой системы данных компании с нуля. — Преобразование больших и разнородных медицинских данных в унифицированный, высокопроизводительный граф знаний. — Работа с медицинскими экспертами, продуктовыми командами и дата-сайентистами для перевода сложной клинической логики в чистые, взаимосвязанные структуры и модели данных. — Поиск креативных решений с использованием различных типов баз данных и конвейеров данных для обеспечения согласованности и совместимости медицинских данных. — Разработка и интеграция частей клинического inference engine, основанного на правилах и статистических моделях. — Проектирование и расширение клинических моделей данных с использованием доменных онтологий (например, SNOMED-CT, FHIR, UMLS) для создания богатых, запросных графовых структур. — Перевод исследовательских результатов в масштабируемое, промышленное программное обеспечение в рамках agile-команды. — Тесное сотрудничество с медицинскими экспертами для фиксации клинических рабочих процессов и валидации отображений онтологий. — Формирование технического направления, дизайна схем и лучших инженерных практик в команде. Требования: — Магистр или кандидат наук в области компьютерных наук, математики или смежных областей. — Более 4 лет опыта работы с медицинскими данными или в области data engineering либо соответствующие академические исследования. — Глубокие знания графовых баз данных, языков запросов, алгоритмов поиска и/или систем вывода (например, Neo4j, Memgraph, Cypher, SQL, Datalog). — Обширный опыт разработки на Python и/или TypeScript, комфортное переключение между языками и фреймворками. — Наличие разрешения на работу в ЕС и проживание в ЕС. — Желательно: знакомство со статистикой, формальной логикой и/или машинным обучением. — Опыт работы с электронными медицинскими картами (EHR) и форматами обмена клиническими данными (например, FHIR). — Интерес к области представления знаний и рассуждений (Knowledge Representation and Reasoning). — Опыт самостоятельного управления облачными средами (например, GCP) и CI/CD конвейерами. Условия: — Работа в одной из ведущих европейских healthtech компаний с возможностью влиять на продукт. — Возможность работать удаленно или в офисах в Вене, Будапеште и Берлине. — Выделенный бюджет на обучение и профессиональное развитие. — Культура с плоской иерархией, открытым общением и уважением к мнению каждого. — Участие в виртуальных программах опционов на акции (VSOP). — Возможность приводить в офис своих домашних животных и общаться с офисными собаками. — Гибкие условия работы и поддержка разнообразия и инклюзивности.

Задачи: — работать с частью системы целиком, доводить её до прода — разбираться с возникающими проблемами в продакшне Требования: — 3+ года продакшн-опыта на Python — ежедневная работа с LLM и агентами, умение объяснить процесс — проактивность и умение дебажить чужой код в продакшне Условия: — зарплата до 2 500 $ (B2B) — полная удалёнка, гибкий график — оплата AI-тулинга (Claude Code или другие удобные инструменты) — интро-звонок, технический разговор, оффер

Location: Vienna, Austria 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 Ever wondered what it's actually like to build a career at a company millions of developers rely on? Software Engineers at Sentry write real code on real projects that ship to production. No busywork, no "prove yourself first" purgatory. Just you, a team that actually trusts you, and a codebase used by millions of developers every day, including the ones building the AI tools everyone's talking about. You'll land on either an SDK https://docs.sentry.io/?original_referrer=https%3A%2F%2Fsentry.io%2Fcareers%2F%3Fteam%3DEngineering%2B team or Ingest — and either way, you're in the critical path, not on the sidelines. SDKs are where past interns have shipped async support for our Python SDK https://blog.sentry.io/meet-sentrys-2025-summer-interns/#simon-1-16 and a faster AWS Lambda extension https://blog.sentry.io/meet-sentrys-2025-summer-interns/#martin-1-17 — real code running inside frameworks developers use every day. Ingest is the backbone: you'll get hands-on with the pipelines (including our open-source Relay https://github.com/getsentry/relay and Symbolicator https://github.com/getsentry/symbolicator) that process millions of events every minute. New grad hires are rad hires. Our onboarding is built to set you up for long-term success from day one — comprehensive training, dedicated mentorship, social events, and a built-in community of peers who started right alongside you. (There are also snacks. The good kind.) Many of our new grads started out as interns here first — read the stories https://blog.sentry.io/life-at-sentry/ from Sentaurs who liked it enough to come back full-time. IN THIS ROLE YOU WILL - Be matched with one of our SDKs https://sentry.io/platforms/, Product or Ingest teams, based on your interests and experience - Design, develop, and ship features and systems that drive real value to customers - Own projects end-to-end, from design through production - Receive ongoing feedback, coaching, and mentorship from your manager and teammates YOU'LL LOVE THIS JOB IF YOU - Want to be treated like an engineer from day one - Care about how software actually works - Are excited about where AI is taking software development and want to build in the middle of it - Want mentorship that's real, not scheduled - Like shipping things and seeing them used at scale QUALIFICATIONS - Recently completed or completing an undergraduate or graduate program in Computer Science or a related field - At least one previous internship or equivalent hands-on experience - Solid grasp of algorithms and data structures fundamentals - Comfortable using GitHub: branching, pull requests, code review, the works - Proficient in Python, JavaScript, or a similar dynamic language, picked up through internships, personal projects, or coursework - Can pick up a new language or framework quickly and run with it - Experience collaborating on an engineering project with a team (class, open source, work, it counts) - Available to start in 2027 and able to relocate to Vienna, Austria (we'll help get you there and cover housing) - Please note the following: - Visa sponsorship is considered on a case-by-case basis - This is a full-time position We are obliged by law to quote the minimum wage of EUR 43.456,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The base salary (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is EUR €80,000.00. A successful candidate will be eligible to participate in Sentry’s employee benefit and perks programs applicable to the candidate’s position (including medical, dental and vision insurance coverage as well as temporary relocation support). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit 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: Vienna, Austria 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 Ever wondered what it's actually like to intern at a company millions of developers rely on? Software Engineering Interns at Sentry write real code on real projects that ship to production. No fetch-the-coffee. Just you, a team that actually trusts you, and a codebase used by millions of developers every day, including the ones building the AI tools everyone's talking about. You'll land on either an SDK https://docs.sentry.io/?original_referrer=https%3A%2F%2Fsentry.io%2Fcareers%2F%3Fteam%3DEngineering%2B team or Ingest — and either way, you're in the critical path, not on the sidelines. SDKs are where past interns have shipped async support for our Python SDK https://blog.sentry.io/meet-sentrys-2025-summer-interns/#simon-1-16 and a faster AWS Lambda extension https://blog.sentry.io/meet-sentrys-2025-summer-interns/#martin-1-17 — real code running inside frameworks developers use every day. Ingest is the backbone: you'll get hands-on with the pipelines (including our open-source Relay https://github.com/getsentry/relay and Symbolicator https://github.com/getsentry/symbolicator) that process millions of events every minute. This is a 12+ week hybrid technical internship https://sentry.io/careers/internships-and-early-careers/ that treats you like a full-time Sentry engineer — not just "an intern." You'll be paired with a manager and a dedicated team mentor, get access to social events, and wrap up the program with a final presentation to the Sentry team. Don't just take our word for it — hear it from the people who lived it. Our intern blog https://blog.sentry.io/life-at-sentry/ is full of stories from past Sentaurs about the features they shipped and the teams they joined, and more than a few of them liked it enough to come back as full-time new grads.   IN THIS ROLE YOU WILL - Be matched with one of our SDKs https://sentry.io/platforms/, Product or Ingest teams, based on your interests and experience - Design, develop, and ship a programming solution that drives real values to customers - Receive meaningful feedback, coaching, and mentorship from your manager and teammates   YOU’LL LOVE THIS JOB IF YOU - Want to be treated like an engineer, not "an intern" - Care about how software actually works - Are excited about where AI is taking software development and want to build in the middle of it - Want mentorship that's real, not scheduled - Like shipping things and seeing them used   QUALIFICATIONS - Currently enrolled in an undergraduate or graduate program in Computer Science or a related field - At least one previous internship or equivalent hands-on experience - Experience collaborating on an engineering project with a team (class, open source, work, it counts) - Solid grasp of algorithms and data structures fundamentals - Proficient in Python, JavaScript, or a similar dynamic language, picked up through internships, personal projects, or coursework - Can pick up a new language or framework quickly and run with it - Comfortable using GitHub: branching, pull requests, code review, the works - Available to start summer 2027 and able to relocate to Vienna (Austria) for the duration of the internship (we'll help get you there and cover housing)   We are obliged by law to quote the minimum wage of EUR 43.456,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The base salary (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is EUR €3,285.00 per month. A successful candidate will be eligible to participate in Sentry’s employee benefit and perks programs applicable to the candidate’s position (including medical, dental and vision insurance coverage as well as temporary relocation support). 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: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE INFRA CREW - WITHIN THE TECH FOUNDATIONS AREA 🎯 Mission: - Tech Foundations - enables product crews and creates the environment to thrive, combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. - Infra - is one of its crews. Its mission: operate and evolve the foundations Alan runs on (multi-cloud infrastructure, data platforms, observability, and the operational practices around them) so that product crews ship safely and quickly, members never feel the platform underneath, and the business can expand to new countries without re-inventing how we run. 🔭 Scope: 1. Cloud foundations & multi-cloud architecture: own and evolve Alan’s cloud footprint, Infrastructure-as-Code stack (Terraform, Terramate), and the architectural decisions enabling international expansion. 2. Data & application platforms: operate and evolve the foundations product crews build on: PostgreSQL/Aurora, our events pipeline, async workloads, and database migration tooling, without leaking complexity into product code. 3. Reliability, observability & on-call: own Alan's platform uptime and latency SLOs end-to-end. Evolve our observability stack (Datadog), the incident response process (Incident.io http://Incident.io), and the shared on-call rotation across the area to keep it sustainable as we scale. 4. Governance & compliance enablement and FinOps: own the cross-cutting concerns no single domain holds, infrastructure cost (FinOps), IAM posture, backup and disaster recovery, exit strategy, with automation and reporting that scales beyond the crew. 5. AI-augmented infrastructure operations: make AI assistants a first-class citizen for incident investigation, runbook execution, and toil reduction, so engineers spend their time on high-leverage work. 👀 Focus for 2026: In 2026, we're growing the team significantly to step up impact across four bets: - Multi-cloud expansion: revisit our cloud strategy as we go international, and launch new geographies. - Decoupling for scale: evolve service architecture to carry Alan 2.0 from 1M members today to 10M. - Operational excellence: raise the quality bar end-to-end by overhauling observability, on-call, and cost management practices. - AI-augmented infra ops: make AI assistants a first-class part of investigation, troubleshooting, and toil reduction, so engineers spend time where leverage is highest. ⭐ IS IT YOU WE’RE LOOKING FOR? EXPERIENCE WE VALUE - 3+ years in Platform engineering, DevOps, Site reliability engineering or equivalent roles. - You have strong experience with cloud platforms (especially AWS or GCP). - You're comfortable writing code for automation and tooling (e.g. API, internal command line, developer portal) and willing to work in Python/Typescript (but you don’t need to have experience with those 2 languages!). - You have touched observability, monitoring, alerting or incident management tools and practices. - You are able to design and implement robust infrastructure systems with a focus on reliability and observability. - You can maintain our uptime targets while optimizing infrastructure costs. - You’ve built and maintained internal or external tooling (e.g. API, web interface, internal command line, configuration as code, etc) for other engineers. MINDSET WE VALUE - You treat infrastructure and platform engineering as product work: engineers & members are your customers, and infrastructure should feel effortless. - You’re hands-on: writing code is the bulk of the job (Python, TypeScript, Terraform). You ship what you write to production yourself, then operate it: rollouts, alerting, on-call, incident response. - You're an enabler: you measure your impact by how fast product crews ship features without ever consulting you. The harder you've worked, the less they have to engage you. - You build reusable patterns: guardrails, libraries, and reliable-by-default abstractions that prevent outages and runaway cost at scale. - You’re fluent in English (French is not required). For this opportunity, we are aiming to hire above C1 level range https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP