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Location: Boston, MA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE This role is onsite 5 days/week in Boston, MA We're looking for a Senior Fullstack Engineer to work on LangSmith. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with our enterprise customers, developer end-users, and cross functional internal stakeholders. WHAT YOU WILL DO - Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack. - Collaborate closely with product and design teams to iterate on new features. - Help drive aggressive project timelines while ensuring high engineering standards are being met. - Lead by example in writing clean, maintainable, and well-tested code. WHAT YOU BRING - 5+ years of experience in software engineering working on complex platform products - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend. - Strong understanding of database systems, particularly Postgres and Redis - Experience designing and scaling APIs, preferably in a high-performance, data-intensive application - A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers - Strong ownership mindset - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms Compensation - Annual salary range: $175,000-$240,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Boston, MA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE This role is based onsite in Boston, MA. We are looking for a Senior Backend Engineer to join our growing engineering team in Boston. In this role you will be building the backend systems that power LangSmith, LangChain’s observability and evals platform. You will work on the core services that allow our customer's developer teams to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be valuable. WHAT YOU'LL DO: - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows. - Collaborate on architectural decisions to ensure systems are performant and maintainable. - Optimize storage and query performance for high-volume observability and evaluation data. - Ensure system reliability through strong testing, monitoring, and alerting practices. - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes. - Create and maintain technical documentation, including system design and API references. - Work closely with full-stack engineers, product managers, and product designers on rolling out new features. WHAT YOU'LL BRING: - 4+ years of professional experience in backend engineering working on highly complex products - Proficiency in one or more backend languages/frameworks, ideally Python and/or Go - Strong understanding of API design and building reliable data services. - Experience with high-throughput, mission-critical systems. - Demonstrated ability to optimize backend services for performance and reliability. - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure) would be a bonus. - Strong communication skills, with the ability to collaborate cross-functionally. - Customer centricity and ownership mentality Annual salary range: $170,000- $235,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

О компании: МЕДСИ – лидер в сфере частного здравоохранения, объединяющий более 150 клиник, диагностических центров и санаториев по всей России. Компания развивает цифровые сервисы и автоматизацию ключевых процессов для повышения качества медицинских услуг и эффективности бизнеса. Задачи: — Разработка новых и поддержка существующих backend-сервисов на .NET Core в микро-сервисной архитектуре. — Проектирование и реализация внутренних и внешних API. — Интеграция с внешними и внутренними системами. — Работа с реляционными базами данных (PostgreSQL), написание и оптимизация SQL-запросов. — Реализация бизнес-логики с учетом устойчивости, безопасности и масштабируемости. — Взаимодействие с командой архитекторов, frontend-разработчиков, аналитиков, тестировщиков и devops. — Участие в code review и обсуждении архитектурных решений. Требования: — Опыт коммерческой разработки на C# от 2 лет. — Уверенное знание .NET Core и принципов ООП. — Опыт работы с EF Core и PostgreSQL. — Понимание архитектуры микросервисов, CQRS и event-driven подхода. — Знание принципов REST и разработки API. — Знание принципов разработки gRPC API. — Опыт работы с брокерами сообщений. — Умение писать читаемый, сопровождаемый и покрытый тестами код. Условия: — Формат работы: гибридный. — Работа в крупнейшем медицинском холдинге. — Заработная плата по итогам собеседования. — Оформление по ТК РФ. — Индивидуальные условия по страховке (ДМС) в клиниках Медси. — Компенсация профессиональной литературы, курсов, обучения и участия в конференциях. — Пятидневный график работы, гибкое начало рабочего дня.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an Applied AI Engineer, your mission is to make Mistral AI-native from the inside. You lead the design and delivery of production-grade AI systems in rapid cycles, building the iconic use case for multiple department (eg: GTM, HR, Engineering, Finance, ect) in your portfolio. You sit where product, engineering and the business overlap, turning advanced technology into real-world solutions that move a metric. You translate complex, often ambiguous business requirements into engineered solutions that work at scale. You act as the technical lead for your departments and contribute as an Individual contributor you guide the technical choices, build the solution end to end, drive adoption, and keep improving it. Your goal is to build clients trust, and deliver high ROI solutions, not a hit-and-run POC. WHAT YOU WILL DO - Run discovery with department heads and key users, map their workflows, and turn ambiguous needs into a prioritized use-case backlog with clear expected value. - Deliver end to end: design and ship production-grade full-stack apps (Python/FastAPI, React) and AI systems, from scoping through deployment and adoption. - Encode business rules, KPIs and ROI metrics as durable datalake assets and app logic, so your departments run on trustworthy, observable data. - Dogfood the latest Mistral products as a first internal user, and turn what you learn into credible product feedback that shapes the roadmap. - Own architecture for your surface: keep it scalable, secure and observable, with a high bar on clean code. - Spot patterns across departments and lift one-off solutions into reusable building blocks. WHAT WE'RE LOOKING FOR - At least 3 years building and deploying production AI software. - Strong full-stack engineer: Python/TypeScript, scalable backends (FastAPI/Node), and enough frontend (React/Vue) to ship a usable app yourself. - Hands-on with modern GenAI use cases: RAG, agents, workflows, orchestration and evaluation. - Strong command of vibe-coding tools, paired with genuine care for clean code and architecture: speed without slop. - Strong ownership and a bias for delivery. This is made for high-velocity engineers who already have experience. - Fluent in AI-native tools (Slack, Linear, etc.). - Passionate about solving customer problems. Here, your customers are Mistral's own teams. - Excellent communication in fluent English: you can explain a technical idea to a lawyer, a marketer and a staff engineer in the same afternoon. NICE TO HAVE - Exposure to Legal, Public Affairs, Marketing or Compute/Infra domains, or a track record of getting fluent in an unfamiliar domain fast. - Data engineering or analytics experience (warehouse modeling, dbt, dashboards). - Contributions to open-source projects, especially around LLMs. - A builder's instinct for internal tooling and platform reuse. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Poland Workplace: Remote HI THERE!👋🏻 WE’RE TOOPLOOX 💎, A SOLVD INC. COMPANY We create AI-powered products and services that make a real difference. Our team of nearly 200 specialists - including a 40+ person R&D team with many PhDs - has pioneered AI solutions across industries from healthcare to e-commerce. We’ve published research in top-tier venues like NeurIPS and ICML, while delivering real-world applications that help our clients innovate and scale.   WHAT YOU WILL DO: - Collaborate with cross-functional teams to design and build AI Agentic solutions. - Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production. - Take ownership of assigned tasks and deliver high-quality, maintainable code. - Manage backend tasks while contributing to frontend development. - Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge. - Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.   EXPERIENCE AND SKILLS YOU NEED TO JOIN US: - Experience in full-stack development using mainly NodeJS (with TypeScript). - At least 1 year of experience in AI Engineering role. - Versatile in technology use, comfortable working across backend and frontend tasks. - Track record in staying current with AI and Agentic technologies, including best practices and architecture. - Openness to client collaboration, fostering clear communication and effective partnership. - Strong commitment to learning new technologies and swiftly adapting to new products and APIs. - Understanding of Retrieval-Augmented Generation (RAG) and its applications. - Familiarity with Multi-Agents concept, tools usage and MCP Servers. - Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic). - Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience. - Understanding of prompt design principles and an ability to create effective prompts. - Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP). - Basic experience with CI/CD pipelines and DevOps best practices. - Competence in REST API usage and efficient database integration. - Fluency in English language.   IT WOULD BE GREAT IF YOU ALSO HAVE: - Basic knowledge of machine learning principles. - Understanding Python source code. - Experience with React. - Experience with model fine-tuning and distillation. - Familiarity with LLM evaluation. - Experience with Model Context Protocol (MCP). - Experience with graph databases. - Familiarity with other programming languages and frameworks. - Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat HOW WE WORK: At Tooploox 💎, you have the flexibility to choose your working hours ⏰ and location 📍. While we value remote work, we also believe in building relationships 🤝and invite you to join us in our Warsaw and Wrocław offices 🏢. Enjoy a relaxed atmosphere 🍃 and try some “home-made” pizza 🍕 from our office pizza oven. We love having pets 🐶 in the office, so feel free to bring yours along.😁 Join us and shape the future of AI while working the way you like!

Задачи: — full-stack разработка с использованием Node.js и React Требования: — уверенное владение backend: Node.js, Express, Sequelize — уверенное владение frontend: React, Vite, Tailwind CSS, Zustand, Axios — опыт работы с базами данных MySQL и PostgreSQL, включая транзакции, блокировки, конкурентный доступ, оптимизацию сложных SQL-запросов — понимание race conditions и проблем конкурентности — опыт работы с real-time технологиями: WebSocket, Socket.IO, Centrifugo — навыки работы с инфраструктурой и DevOps: Docker, настройка Nginx, Redis, RabbitMQ, очереди задач, Elasticsearch, Kibana, Prometheus, Grafana — понимание CDN, принципов защиты от DDoS на уровнях L3/L7, работы proxy и reverse proxy — умение работать с API и интеграциями, включая недокументированные API, OAuth, Telegram Bot API, TDLib — опыт использования AI-инструментов Claude и ChatGPT для анализа, написания кода, рефакторинга, отладки и поиска решений — понимание вопросов безопасности: SQL Injection, проверка типов и входных данных, race conditions, базовое понимание криптографии (RSA, SHA, хеширование), обфускация, browser/device fingerprinting — умение проектировать архитектуру высоконагруженных систем с учетом масштабирования, отказоустойчивости, конкурентной обработки данных, взаимодействия сервисов, очередей, БД, кеша и real-time компонентов Будет плюсом: — базовое понимание теории вероятностей — понимание принципов работы blockchain и основных сетей: Bitcoin, TON, Ethereum/ERC, TRON — опыт работы с нестандартными API и интеграциями

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 Sentry's SDKs instrument dozens of platforms and our ingest pipeline takes in billions of events every day. The Telemetry Experience team owns what happens next: the product surfaces and APIs where that telemetry turns into something a developer can actually debug with. As a Senior Software Engineer on Telemetry Experience, you'll own that experience across the sentry.io http://sentry.io product - Python/Django and Postgres on the backend, React and TypeScript on the frontend. You'll work upstream with our SDK teams on what gets sent and with our ingest teams on how it arrives, then own the part customers actually touch: the APIs, the workflows, and the interfaces where it all lands. Your job is to make that feel native to every developer who uses it, whether they ship a backend service, a mobile app, or a game. IN THIS ROLE YOU WILL - Own projects end to end. Take a problem from a rough customer complaint through scoping, design, implementation across the stack, rollout, and measurement. You'll write the design doc, cut the work into shippable pieces, and stay with it until the numbers move - Work across the full stack of the Sentry monolith. React and TypeScript in the browser, Django and Postgres behind the API. Most projects here touch both, and the interesting decisions live at the seam - Partner closely with SDK and ingest teams. Telemetry arrives exactly as the SDKs send it and as the pipeline shapes it. You'll shape those contracts together with the engineers who own them, rather than working around what shows up - Collaborate daily with product managers, designers, and other product engineers. You'll bring the technical perspective that makes a design better, explain constraints in terms of what they cost the user, and sweat the details other people skip: empty states, error messages, loading behavior, the edge case that only bites 2% of accounts YOU’LL LOVE THIS JOB IF YOU - You'd rather own an outcome than a ticket. You take ambiguous problems, decide what to build, drive it across team boundaries, and follow through after launch. Nobody has to hand you a spec - You're obsessed with making an experience smooth. Friction offends you. You notice the extra click, the confusing label, the query that takes 400ms too long - and you fix them instead of filing them - You solve problems for customers, not for the codebase. Sentry's users are developers, so you can read their bug reports, sit in their tooling, and tell the difference between what they asked for and what they need - You communicate well in writing. Working across SDK teams, ingest teams, product, and design in a distributed company means your docs, PR descriptions, and updates do a lot of the work - You like being full-stack. You don't need a handoff to change an API and the component that calls it, and you enjoy holding the whole path from event payload to rendered pixel in your head QUALIFICATIONS - 5+ years of professional experience building and shipping full-stack web applications - Strong experience with React and TypeScript, and with Python (Django or similar) backed by a relational database such as PostgreSQL - depth in one side and real competence in the other is fine - A track record of driving non-trivial projects end to end, including the parts that require getting other teams to agree with you - Excellent written and spoken English communication skills - Experience leveraging AI-powered development tools to enhance productivity and code quality BONUS POINTS - Familiarity with the application monitoring and observability space - Experience building developer-facing products, SDKs, or public APIs - Experience with high-volume data stores or streaming systems (ClickHouse, Kafka) - A track record of contributing to open-source projects We are obliged by law to quote the minimum wage of EUR 60,844,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The salary that Sentry offers you is adjusted to the current market situation and will be above the IT-KV. 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/.

The Client Solutions & Analytics engineering team builds and maintains a suite of proprietary quantitative platforms spanning portfolio construction and optimization, retirement and defined contribution solutions, Capital Market Assumptions, multi-asset risk analytics, and institutional client intelligence tooling. Responsibilities: — Design and implement RESTful APIs using Python frameworks (FastAPI, Django, Tornado) — Build and maintain data pipelines and backend services for analytics workloads — Design and optimize database schemas across relational, NoSQL, and cloud data stores — Work with structured and unstructured data across Snowflake, Postgres, S3, and MongoDB — Collaborate closely with quantitative researchers, frontend engineers, and business stakeholders — Contribute to system design and architecture decisions — scalability, reliability, security — Monitor and troubleshoot production systems using observability tooling Requirements: — 9+ years of backend development experience — Strong Python proficiency — the team's primary language — Solid hands-on experience with Postgres, Snowflake, MongoDB, and S3 — Strong grasp of data modeling (ER design) and system design principles — Interest in AI-assisted development and modern developer tooling — Experience building and shipping production-grade REST APIs We offer: — Flexible work setup: remote model (Poland, Serbia, Georgia, Spain, Portugal, Armenia) or hybrid if desired (Poland) — Health insurance coverage for those based in Poland — 50% coverage of health insurance for spouses and children in Poland — 24 days of paid vacation — 10 days of paid sick leave — 50% reimbursement for professional training, education, conferences — Work alongside a highly professional team — Engaging teambuilding events and activities

Location: Poland; Georgia; Serbia; Bulgaria; Armenia We build cloud CPaaS/CCaaS infrastructure - the routing, messaging and real-time layer that contact centres run on. High traffic, event-driven services, and a UI that has to stay correct while thousands of live conversations move through it. We're hiring a senior engineer for a team where AI agents are part of the normal development loop, not a pilot. You'll own features end-to-end across a Go backend and a React/TypeScript frontend, and you'll be accountable for everything you ship — including the parts an agent wrote. This is not a prompt-engineering role. It's a senior engineering role where AI-assisted delivery is the default working method. Requirements What will you do at MMDSmart? Own features end-to-end across Go backend and React/TypeScript frontend; Design and develop solutions for high-load and distributed production systems; Use AI coding agents as an integral part of your everyday development workflow; Guide AI agents, review and verify their output, and take ownership of the final result; Build and evolve backend services, APIs, frontend functionality, and external integrations; Investigate complex production issues and drive them to resolution; Contribute to architecture decisions, technical discussions, and system improvements; Help improve our codebase and development practices to make AI-assisted engineering more effective. You are a perfect match if you have: 5+ years of professional software engineering experience and strong Senior-level engineering fundamentals; Strong hands-on production experience with Go - 4 years of experience; Practical experience with React and/or TypeScript; you don’t need to be a frontend expert, but you should be comfortable working with frontend code; Hands-on experience with high-load and distributed production systems; Experience designing, building, and debugging production services and APIs; Hands-on experience with AI coding tools such as Claude Code, Cursor, Windsurf, Copilot, or similar - beyond simple autocomplete; Ability to use AI to work effectively across different parts of the stack while critically reviewing and verifying its output; Strong engineering judgement, ownership, and ability to make technical decisions independently. Our Tech Stack: Backend: Go, microservices, REST APIs, GraphQL Frontend: React, TypeScript, Zustand / Redux Toolkit, WebSocket / SSE Event-driven: Kafka, NATS / JetStream, RabbitMQ, event-driven architecture Data: PostgreSQL, Redis, MongoDB Infrastructure: GCP, Kubernetes, Docker, CI/CD, Infrastructure as Code Observability & Performance: structured logging, metrics, tracing, profiling, high-load and concurrency tooling AI Development: Claude Code, Cursor, Windsurf, Copilot and other agentic development tools Domain: CPaaS / CCaaS, messaging, voice, real-time communication, external provider integrations Will be a plus: CCaaS / CPaaS / telecom background: contact-centre routing, ACD, omnichannel messaging. Voice stack: WebRTC, SIP, media servers, or CPaaS APIs API gateway and microservices integration; GraphQL federation. Kubernetes, Docker, CI/CD ownership, infrastructure-as-code. Polyglot persistence: Redis for caching and ephemeral state, PostgreSQL where a document model is the wrong fit; plus the judgement to tell the difference. MongoDB Atlas or self-managed cluster operations. Internal tooling, evals or automation built on LLM APIs. Open-source contributions, especially in Go. What you get: An AI-first engineering environment where AI is part of real production development; The opportunity to use AI to work across the full stack and expand beyond your primary expertise; Work on high-load communication products with real business impact; A team where Senior Engineers influence technical decisions and architecture; Remote work. Benefits Why do talents choose and stay at MMDSmart? Embrace the opportunity to work in a company that cares about: Your Wellness: Access to mental health programs, comprehensive medical insurance, and a sports card*. Your Happiness: Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts. Your Development: Benefit from free educational events & courses, and English classes with native speakers. Your Career: Focus on your professional development in a supportive environment. Work-Life Balance: Choose your working format - remote, office-based, or hybrid and engage in team-building activities. Think this role's got your name on it? Go ahead and apply, we'd love to see what you've got! Equal-Opportunity Employment We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. *Medical Insurance and Sport Card perks are available for employees located in Bulgaria.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. About the Team The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence. About the Role We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites. Location: In person 5 days/week in San Francisco, CA or New York, NY What You'll Do - Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm) - Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites - Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates - Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards - Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection - Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems - Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests Example projects you might own - A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants - A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release - A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake What You'll Bring - 3+ years of experience as a software engineer or infrastructure engineer - Strong hands-on experience with Python and testing frameworks such as pytest - Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability - Solid understanding of API testing, mocking/stubbing, and data setup/teardown - Comfort defining quality standards, writing test plans, and driving cross-team execution Nice to Have - Experience with load and performance testing tools such as k6 - Familiarity with observability tooling such as Datadog or OpenTelemetry - Experience testing services running on Kubernetes and containerized environments - Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management - SQL fluency for validating data (Postgres, ClickHouse, BigQuery) - Familiarity with Go, Node, or React for targeted white-box tests and improving system testability Compensation - Annual salary range: $165,000- $250,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: USA Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search , our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist , turning natural language queries into Sourcegraph query syntax, Smart Hovers , concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering : a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding , you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models. This is a staff-level role : we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before. Concretely, you'll own work like: Agentic systems. You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence. Models: selection, upgrading, and training. You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably. You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month, you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval. Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them. Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months, you will… Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts. 📅 Within six months, you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions. Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it. You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version. You build agents, fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray. You're pragmatic, not a perfectionist. You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity. On the engineering fundamentals: You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools, and you understand and own every line it submits. You're comfortable in an async-first, multi-service, fast-paced remote environment. Nice-to-haves: You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently. You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production. Experience with retrieval, ranking, embeddings, or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰 The starting salary for the IC4 pay band in each zone is: Zone 2: $176,000 USD Zone 3: $132,000 USD Zone 4: $88,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Resume Deep Dive [60m] System Design [60m] Harden a Code Research Agent Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: United Kingdom (Remote); United Kingdom (Hybrid) Workplace: Remote Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM Here at Cleo, we have ~200 Engineers organised into Pillars ✨ Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google and Apple at least weekly. To thrive here, our engineers proactively use our Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development and growth. ABOUT THE ROLE We're hiring Senior Backend Engineers to join one of our cross-functional product squads - working closely with other engineers, designers, analysts, and product partners to build features that improve our users' financial health. We care far more about how you think than which language you've used before. Much of our product runs on Ruby today, but we deliberately hire polyglot engineers: if you've shipped meaningful product work in any modern stack, you'll ramp quickly here. Key responsibilities for this role include: - Shape the direction of upcoming work - break down ambiguous problems with your squad and help drive projects from early discovery through to shipped impact - Build and evolve the APIs, data models, and business logic behind our product; no Ruby experience required, just strong fundamentals and sound judgement on trade-offs - Contribute to testing, observability, and experimentation, and help continuously raise the bar on developer experience and product quality - Drive high-impact initiatives such as our secured credit card, budgeting and financial insight features, and subscription/pricing experiments - Mentor engineers at your level and beyond, share knowledge generously, and help build a culture where people grow quickly and have real influence WHAT WE'RE LOOKING FOR - An experienced engineer with solid fundamentals, having worked across any modern tech stack - the specific language matters less than your ability to reason clearly, learn quickly, and think in trade-offs - A track record of writing maintainable, thoughtful code and making sound technical decisions with minimal oversight - Comfortable working with Ruby, or confident you can ramp up quickly in it - deep Ruby experience isn't required - Strong collaboration skills with product, design, and data partners, with genuine curiosity about users and their problems - Experience mentoring or raising the bar for engineers around you, and contributing positively to team culture - Motivated by Cleo's mission - you care about building products that genuinely improve people's financial health - Alignment with our engineering principles https://web.meetcleo.com/blog/cleo-engineering-principles - autonomy, accountability, pragmatism, and building things that matter WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Spain Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Backend development experience in TypeScript or Python, with a focus on API design and service architecture - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Brazil; Argentina; Honduras Workplace: Remote ABOUT THE ROLE We’re splitting our Analytics & Reporting group into two focused teams: a Data Engineering team that owns data acquisition and the company-wide data platform, and an App team that owns everything our customers touch, including the data-serving APIs, the Analytics section of the Uberall platform, and the reports that turn location data into decisions. We’re hiring the lead for the App team. You’ll be a player-coach: you’ll manage and grow a team of six engineers (3 backend, 2 frontend, 1 QA), partner daily with two Product Managers, a Designer, and a UX Researcher, and stay meaningfully hands-on. Roughly 20–30% of your time is spent on architecture, code reviews, and code. You’ll work as a peer to the Lead Data Engineer, with a close, explicit contract between your team’s customer-facing products and the data platform that feeds them. This is a role for someone who has led before and still loves to build. WHAT YOU’LL OWN - Customer-facing data APIs: the public APIs enterprise customers use to access their data, and the microservices behind them. - The Analytics product: the Analytics section of the Uberall platform, including its frontend, filtering experience, and the APIs powering custom reports. - Customer reporting: the QuickSight reports our customers rely on, and the gold-layer datasets that feed them. Your team owns its data models end-to-end, built on the self-serve platform the Data Engineering team provides. - Production: you build it, you run it. Your team deploys and operates its own services (Kubernetes on AWS), owns its observability and SLOs, and runs its own on-call rotation. You lead the incident process. - The team: hiring, growth, 1:1s, delivery, and the engineering culture of a newly formed team. With one QA engineer among six, you’ll make quality everyone’s job. WHAT YOU’LL DO IN YOUR FIRST YEAR - Stand up the App team as a healthy, autonomous unit: clear ownership, sustainable delivery cadence, and strong working relationships with Product, Design, and the Data Engineering team. - Co-own, from the application side, the in-flight migration of data pipelines out of our monolith and into the Data Engineering stack. Your backend engineers keep those pipelines running and hand them over cleanly, so your team can focus fully on APIs and product. - Drive the modernization of our backend estate: the stack is consolidating on Kotlin, and legacy Groovy and Scala services need a pragmatic path forward. - Shape the next chapter of Analytics: AI-assisted insights in the product, and exposing your team’s data and APIs for consumption by AI agents through the company’s data gateways. WHAT WE’RE LOOKING FOR - 7+ years of software engineering experience, with deep backend expertise on the JVM (Kotlin strongly preferred; our stack: Kotlin, Spring Boot, Postgres). - 2+ years leading an engineering team with genuine people responsibility (hiring, 1:1s, performance, and delivery) while staying hands-on. - Experience designing, operating, and evolving microservices in production: Kubernetes, AWS, observability, SLOs, and incident management. You’ve run an on-call rotation, not just been on one. - Strong SQL and analytical data modeling skills. Your team owns the datasets behind customer reports, and you can reason about them credibly. - Experience with RESTful, service-oriented architectures serving external customers at scale. - Enough frontend fluency (React, TypeScript) to lead frontend engineers well. You review their thinking, not their semicolons. - Experience navigating legacy systems and migrations. You can modernize without stopping the world. - Professional working English (read, write, speak) and comfort collaborating across a remote, distributed organization. NICE TO HAVE - Experience with Groovy, Scala, or Python - the languages of our existing services. - Experience with BI tooling (Amazon QuickSight or similar) and data warehouse platforms (Databricks, Snowflake, Redshift). - Experience building LLM-powered product features or exposing data/APIs to AI agents.

Location: Batumi, Georgia; Berlin, Germany; Munich, Germany; Lisbon, Portugal; Warsaw, Poland; Barcelona, Spain The Vault by Tría Finance is a Swiss and EU-regulated fintech group delivering institutional-grade digital asset infrastructure and services. Bringing together a software vendor and a licensed Crypto Asset Service Provider (CASP), The Vault combines deep domain expertise with a strong foundation of transparency, security, and regulatory compliance. We develop and operate a comprehensive suite of crypto-native solutions, powered by proprietary technology, enabling institutions to execute digital asset strategies across both custodial and non-custodial models. We're building a security-first platform for digital asset operations. Our product is API-driven, highly auditable, and engineered for reliability. We're looking for a Senior Full-Stack Engineer who can own features end-to-end — from clean domain modeling in Go or Node.js to a polished, crisp React UI. Responsibilities: Build end-to-end product features across Go and Node.js/Express backends and React frontend AI-assisted development: use Cursor/Copilot/ClaudeCode (or similar) daily to accelerate delivery, refactoring, and test generation—while verifying outputs and keeping code clean Design backend services using DDD patterns (bounded contexts, aggregates, domain events), clean layering, and pragmatic architecture Implement data models and migrations across PostgreSQL and MongoDB, using GORM, Mongoose, or raw queries where appropriate Build and maintain REST APIs (and webhooks/event-driven workflows where needed) in both Go and Node.js/Express Implement frontend flows in React (TypeScript): dashboards, admin workflows, status lifecycles, audit views Ensure correctness and observability: structured logging, metrics, tracing, and production-ready error handling Contribute to security fundamentals: RBAC, least-privilege access, safe secrets handling, and audit trails Own quality: unit/integration tests, contract tests, and CI pipelines Requirements Must-have 7+ years building production systems with Go and/or the MERN stack (MongoDB, Express, React, Node.js), plus solid React experience Strong backend fundamentals: concurrency, APIs, reliability, debugging Hands-on with DDD (not just buzzwords): can model domains and keep boundaries clean Strong database skills across PostgreSQL and MongoDB: schema/collection design, indexing, query tuning, migrations Experience with GORM and/or Mongoose (or similar ORMs/ODMs) plus comfort dropping to raw SQL or aggregation pipelines when needed Frontend proficiency in React (TypeScript preferred), including state management and form-heavy admin UIs Good testing discipline (Go testing, Jest/Vitest, integration tests; frontend testing basics) REQUIRED: confident daily use of AI coding tools (Cursor/Copilot/etc.) with disciplined verification and secure practices Nice to have Event-driven patterns: outbox, retries, idempotency, background jobs Experience with RBAC/policy engines, audit logs, fintech/compliance workflows Docker/Kubernetes familiarity CI/CD ownership (GitHub Actions/GitLab CI), release workflows Experience with high-security systems (custody, payments, identity) Soft skills Ownership mindset: deliver features end-to-end with high quality Clear communication and ability to work across teams Pragmatic: balances long-term design with shipping Comfortable in ambiguity and fast iteration Benefits Competitive salary; Annual performance bonus; Fully remote position — work from anywhere in the world (team operates on CET); Paid time off, including vacation, sick leave, and public holidays; Multiple projects within the company — the opportunity to discuss different projects during the interview and choose the one that's the best fit for you.

Задачи: — Развёртывание и эксплуатация продуктовых систем компании во всех средах: prod, stage, test, qa, demo. — Настройка, развитие и сопровождение CI/CD-пайплайнов для backend-сервисов (.NET), web-frontend, Node.js-сервисов и мобильных приложений (iOS/Android), включая подпись и публикацию в магазины приложений. — Сопровождение self-hosted GitLab, GitLab Runner и Container Registry: обновления, бэкапы, восстановление, производительность, права доступа. — Эксплуатация контейнерной платформы на Docker Swarm: деплой сервисов, конфигурации и секреты, сетевой слой, обратный прокси (Traefik/nginx), TLS-сертификаты. — Обеспечение воспроизводимости и единообразия окружений, контроль отличий между средами. — Автоматизация инфраструктуры как кода (Ansible, Terraform или аналоги), отказ от ручных правок на серверах. — Построение и сопровождение мониторинга, логирования и алертинга (Grafana, Prometheus, Loki, Alertmanager): SLO/SLI для продуктовых систем, дашборды, дежурные уведомления. — Организация резервного копирования и регулярной проверки восстановления для PostgreSQL, MinIO, GitLab и конфигураций. — Эксплуатация инфраструктурных компонентов платформы: PostgreSQL, Kafka, RabbitMQ, MinIO, Keycloak, Redis, включая обновления и миграции. — Работа с облачной инфраструктурой (Yandex Cloud: Cloud Functions, API Gateway, Object Storage, DNS) и GitHub Actions для облачных сервисов. — Внедрение практик безопасности в поставку: SAST/SCA, secret scanning, сканирование образов, управление секретами, ротация ключей, минимизация привилегий. — Подготовка и сопровождение runbook по каждой системе: перезапуск, откат, диагностика, восстановление после сбоя; участие в разборе инцидентов и постмортемах. — Участие в проектировании архитектуры новых цифровых сервисов с точки зрения деплоя, отказоустойчивости, наблюдаемости и стоимости эксплуатации. — Совместная с разработчиками настройка quality gates в CI/CD и стандартов ветвления, релизов и версионирования. Требования: — Высшее образование в области информационных технологий, прикладной математики, программной инженерии, автоматизации, вычислительной техники или смежных технических направлений. — Опыт работы не менее 5 лет в ИТ-инфраструктуре или разработке, из них не менее 3 лет в роли DevOps/SRE-инженера с ответственностью за production. — Дополнительное профильное обучение по разработке ПО, архитектуре, DevOps, cloud, тестированию или ИБ будет преимуществом. — Опыт построения DevOps-практик с нуля в небольшой команде: стандарты, пайплайны, мониторинг, runbook, а не только поддержка готового. — Опыт работы с распределённой по нескольким площадкам инфраструктурой (несколько хостинг-провайдеров плюс публичное облако). — Опыт организации дежурства и реагирования на инциденты, проведения постмортемов. — Опыт проверенного восстановления из бэкапов, а не только их настройки. — Опыт эксплуатации .NET-сервисов в Linux-контейнерах: диагностика производительности, память, health checks, graceful shutdown. — Готовность работать в компактной команде рядом с разработчиками, участвовать в проектировании и code review инфраструктурной части. — Умение документировать системы понятно для коллег и аргументировать технические решения. — Будет преимуществом опыт работы в корпоративной среде с повышенными требованиями к ИБ, traceability и релизному контролю. Условия: — Субсидирование ипотечного кредитования. — Льготные путевки в собственный санаторий. — Ежегодная индексация. — Расширенная ДМС (после испытательного срока). — Корпоративная программа пенсионного обеспечения. — Дополнительные выплаты: поддержка многодетных родителей, выплата при рождении ребенка. — Офис в пешей доступности от станции Сколково. — Корпоративный транспорт от м. Тропарево и от м. Новопеределкино. — График работы: с 8:30 до 17:00, пятница до 16:00.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Reddit Consumer Engineering organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit. This centralized role hires across several high-impact consumer teams, including: Core Product & Feeds: Home Experience, Recommendations & Content Discovery, Content Contribution Community & Presence: Reddit Pro, Youth Experience & Teen Safety, Creator Tools Growth & Engagement: Authentication, Notifications, Social Sharing, SEO, Onboarding. Monetization & Conversion: Paid User Acquisition, Conversion Funnel Optimization Identity & Security: Account Management, Trust & Safety What You’ll Do Cross-Functional Product Architecture: Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions. End-to-End Delivery: Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability. Metrics & Experimentation-Led Engineering: Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions. API & System Performance: Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance. Technical Rigor & Modern Tooling: Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently. Who You Are User-Centric Mindset: An advocate for the user with an intuitive feel for product usability, interaction design, social dynamics, and user growth loops. You care deeply about why a feature is being built and its impact on the end user. Data-Informed & Hypothesis-Driven: Comfortable working alongside Data Scientists and PMs to design experiments, establish core performance metrics, and iterate quickly based on real-time feedback. Technical Rigor at Scale: 3+ years of hands-on backend development experience building and operating large-scale distributed serving systems in high-concurrency environments. Bias for Action: Self-directed, innovative, and comfortable navigating ambiguity in fast-paced product environments where balancing velocity with system reliability is essential. Collaborative Communicator: Outstanding communication skills with a track record of driving cross-functional alignment in fully remote or hybrid team environments. Technical Qualifications Languages: Proficiency in modern backend languages such as Go or Python (or Java, Kotlin, Rust, C++). API Design: Expertise in designing and maintaining scalable, maintainable APIs using GraphQL , REST , or gRPC for native mobile and web applications. Data & Caching: Experience with high-throughput caching layers and distributed datastores (e.g., Redis , Cassandra , PostgreSQL ). Modern Workflows: Experience or interest in using AI-assisted engineering tools to accelerate development workflows. Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,000 — $229,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: United States Workplace: Remote As a Senior Software Engineer at Coder, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences.   What you’ll do here - Design and build production systems in Go, with work across React and TypeScript where needed. - Improve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Build reliable integrations between agents, workspaces, tools, and developer infrastructure. - Own projects from implementation through rollout and iteration. - Contribute to design reviews, code reviews, and technical discussions. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve the reliability, performance, and operability of agentic systems.   What we’re looking for - Strong experience building and operating production software systems. - Hands-on experience with Go. - Experience with React and TypeScript. - Experience building systems around LLMs or agentic workflows. - Familiarity with model APIs, tool calling, context management, or agent loops. - Good understanding of distributed systems and production reliability. - Working knowledge of AWS. - Strong problem-solving skills and comfort working through technical ambiguity. - Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing.   Bonus tacos if you have - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building integrations across multiple model providers. - Experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers.   Our tech stack - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions   Coder’s agentic architecture is provider-agnostic. The foundation is built; this role helps extend it, improve it, and ship the next set of agentic capabilities. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.