Задачи:
— Автоматизация проекта с микросервисной архитектурой (более 80 микросервисов).
— Писать не только тесты, но уметь и в фреймворк авто тестов.
— Работа с асинхронным кодом, уметь писать и дебажить.
— Ручное тестирование в зависимости от задач спринта (от 30\70 до 70\30).
Обязанности:
— Ручное и автоматизированное тестирование UI, API, интеграционное тестирование микросервисов.
— Составление грамотных, понятных и однозначных баг-репортов в JIRA.
— Написание/обновление API авто тестов, их запуск и анализ результатов.
— Взаимодействие с аналитиками, разработчиками, администраторами для устранения ошибок.
Требования:
— 3+ года в роли QA Engineer web-приложений, API.
— Опыт в автоматизации API (PyTest) 2-3 года.
— Знание SQL на уровне написания простых JOIN.
— Знание WEB (Browser DevTools, HTML, JavaScript).
— Опыт работы с любым CI/CD.
— Понимание принципов работы клиент-серверной архитектуры.
— Твердое понимание принципов тестирования.
— Способность быстро учиться и адаптироваться к технологическим изменениям.
Условия:
— Полностью белый оклад выше среднего по рынку.
— Отсутствие дресс-кода и бюрократии.
— Рабочий ноутбук на выбор: Mac или PC.
— Покупка билетов до Кипра за счёт компании.
— Рабочая виза для сотрудника и гостевая виза для членов семьи.
— Предоставляем жильё на первый месяц.
— Медицинская страховка и мобильная связь.
— Помощь с переездом семьи из любого региона.
— Бесплатные обеды и напитки.
— Всегда полные корзины фруктов и всяких вкусняшек в офисе.
— Бесплатные курсы английского языка.
— Оплата занятий спортом.
— Помощь с оплатой школ и детских садов.
Задачи:
— Развертывание и поддержка облачной инфраструктуры в AWS (IaC через Terraform)
— Администрирование кластеров Kubernetes (EKS) и управление деплоем через Helm
— Настройка, оптимизация и защита пайплайнов в GitLab CI и GitHub Actions
— Внедрение инструментов сканирования уязвимостей (SAST/DAST) и управление секретами в HashiCorp Vault
— Настройка сквозного мониторинга и логирования (Prometheus, Grafana, ELK/Loki, Sentry), оперативное реагирование на инциденты
— Участие во внедрении и поддержании практик информационной безопасности по стандарту ISO 27001
— Настройка и поддержка веб-серверов (Nginx), управление VPN, SSL/TLS сертификатами и DNS
Требования:
— Уверенное знание Linux (Ubuntu/RHEL) и владение Bash для автоматизации
— Практический опыт работы с AWS (EKS, IAM, S3, RDS) и Ansible
— Глубокое понимание процессов контейнеризации (Docker, Kubernetes) и автоматизации CI/CD
— Понимание принципов сетевой безопасности, опыт работы с криптографическими протоколами и системами управления секретами
— Знание принципов и практический интерес к внедрению стандартов безопасности ISO 27001
Условия:
— Официальное оформление в соответствии с регламентом МФЦА (AIFC)
— График работы 5/2, гибкий гибридный формат (сочетание офиса в Алматы и удаленки) с гибким началом дня
— Стабильная заработная плата
— Интересные и динамичные digital-проекты (включая AI-интеграции и масштабные веб-платформы)
— Сильная техническая команда, минимум бюрократии и открытость к вашим технологическим инициативам
ГибридseniorАлматы
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Задачи:
— Присоединиться к команде, отвечающей за облачное подключение, безопасность и управление парком устройств Hue Bridge.
— Участвовать в разработке новой инфраструктуры IoT совместно с облачными инженерами.
— Разрабатывать, тестировать и интегрировать программные компоненты Hue Bridge для встроенного Linux.
— Улучшать пользовательский опыт и операционные расходы на основе данных с устройств.
— Изучать и внедрять инновации в практики и процессы разработки.
— Исследовать возможности полного стека разработки IoT программного обеспечения, от устройств до облака.
— Разрабатывать с использованием различных языков программирования: C, C++, Bash, Python, C#, Go.
Требования:
— Сильные навыки проектирования программного обеспечения и способность создавать простые, надежные и элегантные системы.
— Опыт работы с подключением, сетями и IoT.
— Знания и опыт в области сетевой безопасности.
— Знания и опыт в разработке продуктов, основанных на данных.
— Глубокие знания и опыт работы с C и/или C++ и Linux (OpenWRT и/или Yocto); Rust и/или Python приветствуются.
— Готовность изучать новые среды разработки, языки и платформы.
— Хорошее знание английского языка.
— Умение работать в команде, проактивность.
Условия:
— Зарплата в долларах США.
— Медицинская страховка и покрытие спортивных активностей.
— 26 дней отпуска.
— 100% оплата больничных.
— 3 дня больничного в год.
— Тренинги и практика обмена знаниями.
— Корпоративная культура с ориентиром на людей.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology.
You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely with world-class researchers and engineers to build AI systems that can engage in all phases of research and development, while maintaining our commitment to safety and beneficial impact.
Previous experience in life sciences is welcome, but not required for this role.
Minimum Qualifications
Demonstrated experience training and evaluating large language models
Proficiency in Python and familiarity with modern ML development practices
Experience building and managing data pipelines for large-scale datasets
Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams
Preferred Qualifications
8+ years of machine learning experience
Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, computational biology, or related fields)
Experience working with large-scale biological datasets
Published research or practical experience in scientific AI applications or long-horizon reasoning
Background in reinforcement learning and/or pretraining
Knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud deployment at scale
Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing
Contributions to open-source scientific software or databases
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Задачи:
— Разработка и настройка AI-функций продукта
— Работа с LLM, RAG, embeddings и векторными базами данных
— Интеграция OpenAI, Gemini, DeepSeek и других AI API
— Настройка промптов и улучшение качества ответов моделей
— Работа с учебными материалами и базой знаний
— Поддержка серверной части: Linux, Docker, логи, конфигурации и деплой
— Оптимизация скорости работы и стоимости AI-запросов
Требования:
— Опыт работы от 3 до 6 лет
— Уверенное владение Python
— Опыт работы с LLM, RAG и embeddings
— Опыт интеграции AI API
— Понимание FastAPI и REST API
— Опыт работы с Linux-серверами
— Владение Docker, Git, переменными окружения и инструментами работы с логами
— Умение доводить AI-функции до рабочего состояния в продукте
— Будет преимуществом: опыт работы с Qdrant, Pinecone, Weaviate, Chroma, PostgreSQL, Redis, TTS/STT, Telegram Bot API, Mini App, MLOps и компьютерным зрением
Условия:
— Официальное оформление по Трудовому договору или договору ГПХ (с самозанятым, ИП или физическим лицом)
— График работы 5/2
— Рабочий день: 8 часов
— Гибридный формат работы
— Выплата заработной платы два раза в месяц
— Возможность проектной или долгосрочной занятости
— Условия оплаты обсуждаются по итогам собеседования
Адрес:
Астана, улица Сарайшык, 5
Наша команда разрабатывает AI-продукты для управления талантами — от внешнего найма до внутренней мобильности. Мы автоматизируем ключевые этапы рекрутмента, чтобы сделать процесс быстрее и удобнее. Среди наших решений — ГигаРекрутер, AI-помощник для первичных интервью с кандидатами, и предиктивная система подбора внутренних сотрудников на роли и проекты. Это позволяет HR-партнерам и руководителям формировать кадровые резервы без участия рекрутера, усиливая команды и развивая бизнес.
Задачи:
— написание и поддержка Api и Web автотестов на Python (в т.ч. smoke, интеграционные, e2e)
— анализ allure отчетов прогона автотестов в CI, локализация и заведение дефектов
— рефакторинг легаси автотестов
— работа с Jira (управление задачами, багами, релизами), анализ и ревью документации в Confluence
— взаимодействие с командой разработки для уточнения логики работы сервисов
Требования:
1. Обязательные требования
— понимание теории тестирования (опыт работы ручным тестировщиком от 1 года)
— опыт разработки автотестов от 2 лет (Python 3 + Pytest)
— опыт работы: requests, pytest, Selenium или Playwright, SQLAlchemy, pydantic
— обязателен опыт работы с LLM
— опыт работы с Jenkins или с любым другим иструментом CI/CD
— опыт работы с GIT на уровне выше среднего, понимание gitflow
— понимание как устроены REST запросы, заголовки, параметры, тела запросов, виды аутентификации
— знание принципов ООП, паттернов разработки, умение писать масштабируемый код для дальнейшей разработки
— знание клиент-серверной архитектуры
— опыт работы с базами данных Postgres, Mongo
— опыт работы с kafka
— опыт работы с ELK / Grafana
— знание SQL (SELECT, JOIN)
— опыт проведения code review
— умение читать allure отчет
— опыт работы с postman/insomnia, devtools
2. Soft Skills:
— Самостоятельность
— Ответственность за качество продукта / своей зоны
— Умение задавать вопросы и уточнять требования
— Коммуникабельность
— Умение работать в команде
— Умение работать в условиях быстро меняющихся требований
— Умение соблюдать договорённости и сроки
Условия:
— удобный офис AgileHome около станции метро Кутузовская с комфортными условиями (столовые, кафе, бесплатные кухня, спортзал, парковка, зоны отдыха)
— конкурентоспособная зарплата (оклад плюс бонусы)
— возможность использовать современные технологии
— полный соцпакет (включая добровольное медицинское страхование)
— обширный выбор образовательных программ и сертификаций за счёт компании
— программу льготного кредитования в Сбере
— скидки у партнёров компании
— шанс поучаствовать в масштабных инновационных проектах.
Задачи:
— Развитие и поддержка IT-инфраструктуры в высоконагруженном гео распределенном проекте;
— Обеспечение бесперебойной работы инфраструктуры и сервисов;
— Сопровождение bare-metal кластеров k8s;
— Сопровождение кластеров Clickhouse, Kafka, PostgreSQL, Aerospike;
— Автоматизация процессов;
— Обнаружение потенциальных проблем и участие в создании решения по их устранению;
— Поиск, тестирование и внедрение новых решений, помогающих оптимизировать текущие процессы и повысить качество предоставляемых услуг;
Требования:
— Опыт администрирования Linux серверов;
— Опыт администрирования Kubernetes;
— Опыт администрирования ClickHouse, PostgreSQL, Redis;
— Опыт работы с брокерами сообщений (Kafka);
— Понимание принципов IaC;
— Prometheus stack;
— ELK/EFK;
Будет плюсом:
— Опыт работы с Aerospike;
— Опыт использования GitLab CI;
— Опыт автоматизации с помощью Ansible;
— Владение любым языком программирования или скриптовым языком (Python, Bash, Go и др.);
Условия:
— Отсутствие дресс-кода и бюрократии;
— Рабочий ноутбук на выбор: Mac или PC;
— Покупка билетов до Кипра за счёт компании;
— Помощь с переездом семьи из любого региона;
— Рабочая виза для сотрудника и гостевая виза для членов семьи;
— Предоставляем жильё на первый месяц;
— Медицинская страховка и мобильная связь;
— Бесплатные обеды и напитки;
— Всегда полные корзины фруктов и всяких вкусняшек в офисе;
— Бесплатные курсы английского и греческого языков;
— Оплата занятий спортом;
— Частичная оплата школ и детских садов.
Location: North Macedonia; Romania; Bulgaria; Albania; Croatia; Montenegro
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a Zoho Automation Engineer to serve as the architect of our digital workflows. In this role, you will be responsible for transforming complex business requirements into seamless, automated processes that drive efficiency across the entire organization. You will not just be managing a CRM; you will be building the engine that powers our operational growth and ensures our team stays ahead of the curve through cutting-edge technical solutions.
Key Responsibilities
Design, develop, and implement customized solutions within the Zoho One suite, with a primary focus on Zoho CRM, Desk, Books, and Projects.
Write custom functions using Deluge script to automate complex business logic and data processing.
Build and maintain robust integrations between Zoho and third-party applications via APIs and Webhooks.
Optimize system architecture to improve data integrity, user experience, and reporting accuracy.
Troubleshoot technical issues and provide expert-level support for internal stakeholders.
Audit existing workflows and identify opportunities for further automation or process improvement.
Requirements
Proven experience as a Zoho Developer or Automation Engineer with deep knowledge of the Zoho One ecosystem.
Mastery of Deluge scripting and a strong understanding of relational databases.
Hands-on experience building custom integrations and working with REST APIs.
Ability to map out complex business processes and translate them into technical workflows.
Strong problem-solving skills and the ability to work independently in a fast-paced environment.
Excellent communication skills to bridge the gap between technical execution and business needs.
Zoho Creator development experience.
Background in front-end technologies (HTML/CSS/JavaScript) for custom dashboarding.
Zoho Certifications (Certified Zoho Creator Developer or CRM Administrator).
Experience with Zapier, Make, or other middleware platforms.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Adaptive Telemetry, Databases
This is a remote position. We are looking for candidates in the Canadian time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases department owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. We offer our databases as a Cloud service supporting Grafana Cloud.
Adaptive Telemetry Group
The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of
Adaptive Metrics
,
Adaptive Logs
,
Adaptive Traces
and Adaptive Profiles.
Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
What will you be doing:
Drive technical strategy and roadmap.
Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
Lead end-to-end delivery of large, cross-functional projects.
Own planning, design, execution, rollout and long-term operation of large initiatives.
Own architecture, reliability, performance and cost for critical systems.
Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
Define SLOs/SLIs and lead incident response.
Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
Improve observability, automation and operational readiness.
Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
Align stakeholders and remove blockers.
Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
Mentor and grow engineering talent.
Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
Represent engineering internally and externally.
Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Proven delivery of large distributed systems.
Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
Strong systems-design instincts.
Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
Hands-on cloud and platform experience.
Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
Reliability and performance ownership.
Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
Excellent coding and design skills.
You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
Comfort with AI-assisted development.
We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
Experience with messaging and telemetry.
Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
Influence without authority.
Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
Strong communicator.
Clear written and verbal communication that works across engineers and non-technical stakeholders.
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
186,368
- CAD
223,642
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Adaptive Telemetry, Databases
This is a remote position. We are looking for candidates in the USA time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases department owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. We offer our databases as a Cloud service supporting Grafana Cloud.
Adaptive Telemetry Group
The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of
Adaptive Metrics
,
Adaptive Logs
,
Adaptive Traces
and Adaptive Profiles.
Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
What will you be doing:
Drive technical strategy and roadmap.
Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
Lead end-to-end delivery of large, cross-functional projects.
Own planning, design, execution, rollout and long-term operation of large initiatives.
Own architecture, reliability, performance and cost for critical systems.
Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
Define SLOs/SLIs and lead incident response.
Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
Improve observability, automation and operational readiness.
Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
Align stakeholders and remove blockers.
Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
Mentor and grow engineering talent.
Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
Represent engineering internally and externally.
Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Proven delivery of large distributed systems.
Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
Strong systems-design instincts.
Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
Hands-on cloud and platform experience.
Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
Reliability and performance ownership.
Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
Excellent coding and design skills.
You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
Comfort with AI-assisted development.
We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
Experience with messaging and telemetry.
Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
Influence without authority.
Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
Strong communicator.
Clear written and verbal communication that works across engineers and non-technical stakeholders.
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD
174,986
- USD
209,983
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: On-site in London (Visa sponsorship and relocation available).
Company: Seamflow is a venture-backed startup building systems to accelerate manual processes in physical industries like aerospace, healthcare, and energy.
What you will do:
— Design and build end-to-end mobile workflows from UI to local state and sync logic.
— Work directly with customers in the field to understand and translate real-world processes into software.
— Integrate AI-powered features, including LLMs and model-backed APIs, into mobile workflows.
— Develop and maintain production-grade cross-platform apps for iOS and Android.
— Own the entire product cycle from customer calls and spec writing to deployment.
Requirements:
— Strong experience with TypeScript and React Native.
— Proficiency in native mobile fundamentals (Swift/Kotlin) for modules like sensors and background tasks.
— Experience shipping and maintaining apps via App Store and Google Play.
— Ability to design for unreliable connectivity, including offline persistence and conflict resolution.
— Experience integrating AI systems (LLMs, agents) into production products.
— Must be based in or be able to relocate to London.
Nice to have:
— Founder or ex-founder experience.
— Background in early-stage or stealth startups (e.g., YC, EF, Antler).
— Experience as a forward-deployed or solutions engineer.
— Proficiency in Python for backend service development.
Culture & Benefits:
— High-ownership, high-trust environment with a world-class team from X, Google, and Amazon.
— Full relocation and visa sponsorship support.
— Provision of meals and professional tools.
— Fast-paced, in-person culture in London.
О компании Nexters: международная компания по разработке игр, входящая в холдинг GDEV, с офисами на Кипре, в Армении и Казахстане, а также возможностью удалённой работы.
Обязанности:
— Проектирование, создание и поддержка масштабируемых конвейеров данных (batch и streaming)
— Поддержка и рефакторинг существующих решений
— Основная зона ответственности — Bronze и Silver слои платформы данных
— Разработка и поддержка моделей data lake / data warehouse
— Оптимизация производительности Spark-джобов
— Разработка и поддержка dbt моделей и контрактов данных
— Внедрение и поддержка мониторинга, наблюдаемости и проверок качества данных
— Работа с Kafka-стриминговыми конвейерами
— Взаимодействие с командами аналитики, маркетинга, платформы и бэкенда
Требования:
— Уверенные навыки SQL и Python
— Опыт создания ETL/ELT конвейеров в продакшене
— Практический опыт работы со Spark/PySpark, особенно в стриминговых сценариях
— Понимание распределённых систем обработки и хранения данных
— Опыт работы с архитектурами data lake / data warehouse
— Практический опыт с Delta таблицами, Parquet и S3
— Опыт работы с оркестраторами, такими как Airflow или аналогичными
— Опыт работы с Kafka и стриминговыми конвейерами
— Опыт поддержки и улучшения конвейеров данных в продакшене
— Опыт с практиками наблюдаемости, мониторинга и качества данных
Условия:
— Медицинская программа (включая стоматологию) или компенсация, доступная в любом месте работы
— Медицинская программа для членов семьи при работе в офисах на Кипре, в Армении и Казахстане
— Оплачиваемый отпуск и больничные
— Возможность работать в офисах или удалённо
— Спортивные активности в офисах (йога, футбол, волейбол)
— Пакет поддержки релокации при переезде в официальные локации
— Курсы английского языка онлайн, уроки греческого и армянского для сотрудников в соответствующих офисах
— Участие в гейм-джемах, хакатонах, конференциях и митапах
— Поддержка социальных инициатив и участие в благотворительных проектах
Формат работы: в офисах компании на Кипре, в Армении и Казахстане или удалённо.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads.
Responsibilities
Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more
Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others
Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams
Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact
Define standards, tooling, and frameworks for experimentation and configuration management that drive developer productivity across research and production workloads
You may be a good fit if you:
Have deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment
Have strong proficiency in Python, Rust and/or Go
Are obsessed with developer productivity and reducing friction in how teams configure, test, and ship changes
Have experience with container orchestration and infrastructure at scale
Have excellent communication skills and enjoy supporting internal partners to improve their development experience
Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges
Strong candidates may have:
Have 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar (including building such systems in-house)
Experience designing experimentation frameworks — randomization, assignment, metrics pipelines, and statistical analysis for A/B testing at scale
Experience with dynamic configuration systems and safe rollout mechanisms (gradual rollouts, kill switches, targeting rules)
Experience building CLI tools, developer-facing services, and APIs/automation workflows that integrate config and experimentation into existing CI/CD pipelines
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
As a Mechanical Engineer II on the Hardware NPI Team at WHOOP, you will contribute to the design and development of WHOOP’s innovative hardware solutions - rechargeable energy accessories. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You’ll work alongside a multidisciplinary team of engineers and designers to help bring innovative concepts to life, supporting prototyping, mechanical design, and testing efforts. You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. This is a great opportunity for an engineer with a solid technical foundation to grow their skills in a dynamic, fast-paced environment while contributing to impactful projects in early-stage product development. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you.
RESPONSIBILITIES:
- Own critical parts of the next generation Whoop Hardware Products
- Design, prototype, and test complex mechanical components around microelectronics, meeting stringent technical, performance, and industrial design requirements to guide projects from concept through manufacturing release.
- Develop and present multiple design solutions for novel and complex technical challenges, articulating them clearly to cross-functional teams and documenting design process and specifications thoroughly.
- Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline
- Communicate engineering requests and changes to vendors and contract manufacturers as the product development cycle progresses
- Support planning and execution of verification and validation plans, leveraging design of experiments (DOE) methodologies to drive understanding, uncover insights, and deliver actionable results that enhance product quality, performance, and manufacturability.
- Support and perform thorough engineering root cause analyses to identify and resolve issues
- Collaborate with senior engineers to evaluate new technologies and manufacturing methods.
- Up to 20% travel to contract manufacturers and suppliers internationally
QUALIFICATIONS:
- Bachelor’s degree in Mechanical Engineering or related field.
- 2+ years of experience in the design of complex mechanical products, preferably for consumer electronics, wearables, or medical devices.
- Experience with SolidWorks CAD best practices, including advanced assemblies, complex surfacing, configuration management and applying DFx feedback.
- Hands-on experience in operating and maintaining rapid prototyping tools to craft proof-of-concept models.
- Strong communication skills and comfort working with cross-functional teams and external partners.
- Experience in high-quality consumer electronics or wearable technologies preferred.
- Familiarity with validation testing methods and statistical analysis tools preferred.
- Experience with high-volume manufacturing processes (e.g., injection molding, sheet metal design, metal injection molding) and manual assembly preferred.
- Working experience in a fast-paced or startup environment preferred.
- A passion for health, or wearable technologies; and designing human-centered solutions in this space.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $110,000-$150,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is looking for a Senior Mechanical Engineer to lead critical design, validation, and development for next generation biometric wearable products. You are a proactive, highly organized engineer with strong problem-solving skills and a sharp eye for detail. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You will mentor junior mechanical engineers and collaborate with cross-functional stakeholders (Electrical Engineering, Embedded Engineering, Manufacturing, Product, and Program Management). You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you.
RESPONSIBILITIES:
- Complete technical ownership (at subsystem and component level) of a next generation product from design concept to manufacturing release
- Lead mechanical design, analysis and development of mechanical components around micro-electronics, and exact industrial design specifications, product requirements, and manufacturing constraints.
- Create SolidWorks CAD models to bring up design concepts that enable simulation exercises, prototyping, and mass production qualification
- Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline
- Communicate engineering changes to vendors and contract manufacturers as the product development cycle progresses
- Design testing protocols and validation plans, managing testing processes
- Perform thorough engineering root cause analyses to identify and resolve issues
- Mentorship, engineering best practices
- Willingness to travel internationally up to 20% of the time
QUALIFICATIONS:
- BS or MS in Mechanical Engineering or a related field
- 4+ years of experience in the design, documentation and validation of complex mechanical parts for medium to high volume consumer electronics
- 4+ years SolidWorks CAD experience with best practices for part design/ feature architecture, advanced assemblies, complex configuration management and integrating DFx feedback efficiently
- 2+ years working with Tier 1 and 2 contract manufacturers in Asia and North America
- Extensive experience in mechanical design concepts and the manufacture of products utilizing high volume, automated manufacturing processes as well as manual assembly
- Well-versed in design, prototyping, and evaluation of advanced injection molded plastic components, die castings, metal injection molding, packaging, and material selection
- Strong organization and communication skills and the ability to work well within teams in a fast-paced environment
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Staff+ Software Engineer, Developer Acceleration
About the Role
Anthropic is seeking talented and experienced Staff+ Software Engineers to join Developer Acceleration within the Developer Productivity organization. The Developer Acceleration team is responsible for the infrastructure that enables thousands of employees to be productive via agents. By joining this team, you'll have a direct impact on the velocity and quality of Anthropic's research and engineering development. You will be defining how AI transforms our work and building the future of agentic productivity.
Some things that the team owns:
Agent Runtime Platform
for provisioning and running agents
Knowledge
for providing relevant internal context to agents and humans
Some of our work is mentioned in
When AI Builds itself
and
Building effective human-agent teams
.
Responsibilities
Define the future of agentic productivity at scale and at the frontier
Own the technical strategy and roadmap for your area, translating goals into concrete execution
Define what quality means for agent-driven engineering work, and hold that line across the company
Stay hands-on: build and ship the runtime platform and tooling
Build agent harnesses and experiment with various context management strategies to improve agent performance and correctness
Write evals to benchmark agent behaviors
Deliver impact by collaborating cross-team
Own infrastructure scalability and reliability, and establish operational excellence practices
You May Be a Good Fit If You:
Have 10+ years building and operating large-scale distributed systems
Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead
Have a lot of experience with agents, eg. agents doing technical/knowledge work
Are obsessed with productivity and transforming how we work
Have experience building scalable platforms
Have excellent communication skills and enjoy supporting internal partners
Strong Candidates May Also Have:
Deep understanding of, and care for, how human work will evolve; and a drive to help shepherd that transition
Experience with container or VM orchestration at scale
Experience working with researchers and engineers
Developer productivity or infrastructure experience, such as CI/CD, builds, etc.
Experience building widely adopted CLI tools and services
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
San Francisco, CA
seniorSingapore
УдалённоNorth Macedonia; Romania; Bulgaria; Albania; Croatia; Montenegro
