Location: Helsinki, Finland
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
What you’ll do:
Build and maintain high-throughput backend services using
Go
.
Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe.
Design systems that are
scalable
,
resilient
, and easy to maintain.
Lead and contribute to architectural discussions and technical decision-making.
Write well-tested code and help the team maintain high code quality standards.
Our humble expectations:
7+ years
of professional software engineering experience, with a proven track record of building and scaling complex systems.
2+ years of production experience in Golang
, with the ability to mentor others and drive best practices across the team.
Strong hands-on experience with both
SQL and NoSQL databases
— especially Cassandra.
Solid understanding of designing and operating
low-latency, high-throughput distributed systems
.
Nice to have
Background in
Node.js
or other backend languages.
Familiarity with
cloud infrastructure
(AWS, GCP) and event-driven architectures.
Previous
on-call experience
, with a pragmatic approach to reliability and incident management.
What we value
A
product-oriented mindset
— you think beyond the ticket, understand the “why” behind the work, and aim to create real impact for users, having a high level of resposability.
Experience
leading projects or making key technical decisions
, especially in fast-paced environments.
Clear and proactive communication skills, with a
collaborative spirit
— we move fast, but we succeed together.
Next steps:
These positions will be filled as soon as we find the right persons, so make sure to apply as soon as you realize you really, really want to join us!
Are you curious about our hiring process? Check out our
careers page
for more info.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: Europe
Workplace: Remote
ABOUT ENEBA
At Eneba, we’re building the technology and products shaping the future of gaming.
Our core is a global digital gaming marketplace used by 20M+ customers, with 100,000+ digital items and a platform built to operate at massive scale. Behind it is a complex technology ecosystem spanning 100+ microservices, distributed systems, internal platforms, and tooling that helps our teams build and ship faster.
And we’re not stopping at the marketplace. We’re building new products like Snakzy, AI game coaches, and more, exploring new ways for players to discover, buy, and experience games.
We’re proud of how far we’ve come in such a short time - and there’s a lot more to build. Join us as we scale and build the next generation of products for the gaming community.
ABOUT YOUR TEAM
You’ll join a cross-functional team of 5–10 people spanning design, backend, frontend, mobile, and data, supported by a dedicated platform engineering team. We move fast, experiment often, and build for a growing community of active users.
As an engineer, you’ll do more than ship features - you’ll help shape how the team works and the technology we build. With strong infrastructure, a modern codebase, and hundreds of microservices, you’ll tackle real challenges in scale, performance, reliability, trust, and safety while having the ownership to make a real technical impact.
ABOUT THE TECH
CODE
- PHP 8.5+
- Symfony 6, 7 and 8
- Golang
- GraphQL
- Temporal
- Saga orchestration
- Microservices architecture - 100+ services
- Custom PHPStan rules
DATABASES & METRICS STORES
- MongoDB, Postgres, MySQL, Redis, Prometheus, InfluxDB, ElasticSearch
INFRASTRUCTURE
- Kubernetes, Helm, AWS, Terraform with custom-made abstractions
ABOUT YOU
- You have 8+ years of backend engineering experience, with hands-on experience building and scaling distributed systems and strong expertise in PHP and Symfony.
- You are a quick problem solver who takes ownership
- You are genuinely open to feedback
- You are familiar with common patterns like CQRS, circuit breaking, and service orchestration
- You can effectively contribute to architectural discussions.
- You are product-minded and always thinking about the end-user impact
- You are genuinely excited to work in a supportive, collaborative environment where we learn, experiment, and continuously improve.
WHAT IT’S LIKE TO WORK AT ENEBA
*Opportunity to join our Employee Stock Options program.
*Opportunity to help scale a unique product.
*Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
*Paid volunteering opportunities.
*Work location of your choice: office, remote, opportunity to work and travel.
*Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.
*Please attach CV's in English.
*To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice
Требования:
— Опыт работы в продуктовой компании, чей основной продукт - скрапер, парсер или агрегатор данных, понимание специфики сбора данных, работы с очередями задач, прокси, обхода антибот-систем и структурирования собранной информации.
— Python на уровне Senior (более 6–7 лет коммерческой разработки) и навыки работы с AI для ускорения (используется ClodeCode).
— Глубокий опыт разработки и поддержки API.
— Понимание принципов работы Kubernetes и контейнеризации.
Задачи:
— Разработка, тестирование и интеграция API-функционала для продуктов экосистемы.
— Работа с бэкенд-частью скрапинг-инфраструктуры: управление задачами парсинга, обработка и отдача собранных данных через API.
— Участие в планировании архитектуры, предложение улучшений и рефакторинг.
— Поддержка стабильности, мониторинг и сопровождение решений.
— Взаимодействие с командами Frontend, DevOps и QA.
Условия:
— Зарплата от $4,000 до $5,500+ (на руки, в зависимости от глубины экспертизы).
— Регулярный пересмотр дохода (раз в 6–12 месяцев).
— Fully remote, гибкий график работы.
— Официальный долгосрочный контракт с международной компанией (на рынке 11 лет).
— Техническая команда из 20+ человек без джунов.
— Отпуск 28 дней.
— Возможности для самореализации и свобода в принятии технических решений.
— Работа с передовыми AI-технологиями, опыт в кибербезопасности и обработке больших данных.
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Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
About the department
Cloudflare’s Fintech Engineering Team is at the heart of every product launch, campaign, and initiative that Cloudflare undertakes. We build and maintain critical systems for billing, payments, usage metering, aggregation, invoicing and revenue recognition — powering billions in revenue and serving millions of customers.
Currently we're rebuilding our entire billing platform, designing a metering and aggregation layer that scales effortlessly while ensuring financial accuracy. This is high-impact, high-stakes work that touches all Cloudflare’s cutting-edge products like AI, Zero Trust, Edge Compute, Bot Management, DDoS Protection, etc.
As a Senior Engineering Manager, you’ll lead a team of talented, collaborative engineers working across Cloudflare’s ecosystem. You’ll navigate multiple high-profile projects, foster a culture of proactive communication and continuous learning, and drive technical excellence.
If you thrive on solving hard challenges at the intersection of financial infrastructure and distributed systems, this is your opportunity to make a massive impact while growing with us.
What you'll do
You will lead a team of talented engineers responsible for building and maintaining Cloudflare’s billing and payments infrastructure. You will oversee the development of scalable, high-reliability financial infrastructure that handles everything related to Cloudflare’s revenue. Your work will directly support billions in revenue and millions of customers while enabling new product launches across Cloudflare.
You will play a key role in rebuilding our entire billing platform, designing a next-generation financial infrastructure that ensures financial accuracy and seamless performance. Leading a team of skilled engineers, you will drive the execution of complex technical initiatives, ensuring our architecture is resilient, scalable, and future-proof.
Beyond technical execution, you will focus on growing and mentoring a high-performing engineering team. You will set clear expectations, provide thoughtful feedback, and create an environment where engineers can thrive. You will collaborate closely with product, engineering, finance, data science, operations and support departments to align technical decisions with business objectives. Your ability to communicate effectively, manage priorities, and navigate a fast-paced environment will be critical in driving success.
This role is an opportunity to make a lasting impact at the intersection of financial infrastructure and distributed systems. You will help shape the future of Cloudflare, ensuring it can support the company’s rapid growth and evolving product ecosystem.
Examples of desirable skills, knowledge and experience
Experience leading a team or multiple teams of senior and staff engineers.
Experience working with cross-functional teams, driving alignment, and clearly creating and communicating technical direction for large cross-company efforts.
Comfortable leading and hiring a team that builds the backend systems and frontend parts of the product.
Excel at planning, creating teams and overseeing execution to meet commitments and deliver with predictability.
Comfortable building developer-loved APIs that scale.
Demonstrate a track record of leading a team including hiring, on-boarding, and professional development.
You inspire your team to reach higher.
You’re as good as explaining “why” as you are “how”.
Experience implementing tools, process, internal instrumentation, methodologies and resolving blockages.
Comfortable managing teams/projections with tight deadlines and short release cycles.
Bonus Points
Experience building massive distributed systems.
Experience leading teams working on areas of financial infrastructure, payments, billing, and data infrastructure.
Compensation
Compensation may be adjusted depending on work location.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Remote - North America - South America - Europe
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
As a Senior Full-Stack Engineer on Alpaca Connect, you will build the tools and services that help developers launch applications on Alpaca. You will work across TypeScript and React frontends and Go services.
You will improve partner onboarding, app management, compliance review, marketplace discovery, consent, and permissions. You will also connect these workflows to Alpaca's identity, account, trading, and market data systems.
You will work closely with Product, Design, Compliance, Support, Partnerships, and Platform teams. We are looking for someone who can turn complex requirements into secure, straightforward product experiences.
Things You Get To Do:
Build and maintain Connect experiences in TypeScript and React, with supporting Go services.
Improve app onboarding, testing, compliance review, approval, publishing, and management.
Turn manual support and compliance work into clear, auditable self-service workflows.
Design APIs and integrations across Alpaca's identity, account, trading, and market data systems.
Own features from design through production and help improve the team's technical direction.
Who You Are (Must-Haves):
5+ years of experience building production full-stack applications.
Strong TypeScript and React skills.
Experience with Go or another modern backend language.
Strong SQL and relational database skills, preferably PostgreSQL.
Experience designing REST APIs and integrating distributed services.
Experience with OAuth, OIDC, or similar authorization systems.
A track record of delivering secure, user-facing features end to end.
Clear communication and sound judgment when requirements are incomplete or ambiguous.
Who You Might Be (Nice-to-Haves):
Experience with developer platforms, partner portals, or marketplaces.
Experience with compliance or operational workflows in a regulated industry.
Experience with GCP, Docker, Kubernetes, or production observability.
Experience with financial markets, brokerage systems, or market data.
Experience working at a startup or on a distributed remote team.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: London & San Francisco
Workplace: onsite
THE OPPORTUNITY
We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and enterprises. We are looking for a product engineer to build and scale Watcher end to end.
This role includes backend and frontend components. You will own features across the full stack, from agent hooks and ingestion pipelines to monitoring dashboards and enterprise integrations. You can expect to own features from customer conversation to production deployment.
This is truly a “start-up role”: you will own big chunks of the product, make decisions fast, and ship at high volume. You will join a small team with significant ability to shape the product and tech, and you can earn more responsibility quickly. This is an individual contributor role but could lead to management responsibilities eventually, if desired.
KEY RESPONSIBILITIES
Ship product end to end (~45%)
Feature development
Design, build, and ship Watcher features across the stack: agent-side hooks and CLI tooling, ingestion and grading pipelines, real-time monitoring UI (Watcher Live), and the organization-wide Analyzer dashboard.
Own features end to end, from ambiguous requirements to production: talk to users, scope the work, make the technical decisions, put that into production, and iterate based on usage.
Build Watcher integrations: We currently support Claude Code and Codex, but we’re planning on increasing our coverage to other coding agents, LLM gateways, and anywhere that could benefit from agent monitoring.
Build the policy and configuration layer that lets security teams set org-wide guardrails for engineers to operate safely within.
Productionize research
Turn monitoring research (new monitors, grading strategies, backtesting results) into production-ready product features. We are "our own customer": You will use the product you build every day.
Infrastructure and scale (~35%)
Design and operate backend systems that process large volumes of agent logs in real time.
Own reliability: robust error handling, graceful degradation, and observability (logging, metrics, tracing, alerting). We should catch issues before customers do.
Architect data models and storage that handle both high-throughput writes and complex analytical queries over historical trajectories. Retention policies have to fit highly sensitive customer data.
Make sure Watcher is safe to deploy: Work with our AI Security & Control Engineer on tenant isolation, encryption, and access controls. Watcher touches some of the most sensitive data our customers have.
Customer and integration engineering (~20%)
Build and maintain integrations with the enterprise security stack, e.g. streaming monitoring alerts into SIEM systems and existing security operations workflows.
Support flexible deployment models: cloud-hosted, on-prem, and local backends, so sensitive agent logs never have to leave customer control.
Talk to customers, debug issues in their environments, and feed what you learn back into the roadmap.
REPRESENTATIVE PROJECTS
Secure a new frontier coding agent:
Take an agent we don't yet support (e.g. Cursor) from zero to fully monitored. Build the hook/integration layer, normalize its trajectory format into our data model, validate monitor accuracy on real traffic, and ship it to customers.
Build the real-time blocking path:
Design the low-latency pipeline that lets monitors block dangerous actions (e.g. git push --force, secret exfiltration) before they execute, while keeping p95 latency low enough that developers don't feel it. Handle traffic spikes and partial failures gracefully.
Ship an Analyzer capability end to end:
Design and build an organization-wide view (e.g. failure trends over time, cross-session pattern detection) from data model through API to UI, based on what security teams actually need.
Deploy Watcher inside locked-down enterprises:
Build and document the self-hosted/on-prem deployment story so that enterprises with strict data requirements can run Watcher inside their own infrastructure.
JOB REQUIREMENTS
Must-haves
4+ years building production software.
You have shipped and operated real systems with real users, and you know what it takes to keep them reliable.
Full-stack capability.
You are strong on the backend (APIs, data pipelines, databases, cloud infrastructure) and productive on the frontend (modern web UI). You don't need to be world-class at both, but you must be able to own a feature across the whole stack. Our stack is primarily Python and TypeScript.
High agency and ownership.
You are willing to own big chunks of the product, make decisions fast with incomplete information, and be accountable for the outcome. You don't wait to be told what to do and have an accurate sense of the roadmap for the product.
High output volume.
You have used Claude Code, Codex, Cursor, or similar tools heavily to accelerate or have built agents or agent tooling yourself.
Startup pace.
You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters.
Product sense.
You can talk to users, translate vague requirements into concrete designs, and make good calls about what to build and what to cut.
Strong nice-to-haves
Previous work on developer tools, monitoring/observability systems, or security products.
Watcher sits at the intersection of all three.
Real-time or large-scale data processing experience
(streaming pipelines, message queues, high-throughput log systems).
Enterprise or on-prem deployment experience.
Shipping software into environments you don't control is its own skill.
Experience building LLM-powered applications,
e.g. LLM-as-judge setups, evaluation pipelines, or familiarity with frameworks like Inspect.
Early-stage startup experience.
You have been employee 1-15 somewhere and know what it feels like to build a product with no playbook.
Explicitly not required
Formal AI safety background.
We need excellent product engineers who can learn the AI safety context, not AI safety researchers who need to learn engineering.
Management experience.
This is an IC role, at least initially.
Deep experience in every technology we use.
We care about demonstrated ability to learn and ship, not checkbox familiarity with our exact stack.
We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply.
BENEFITS
This role offers market competitive salary, equity, and competitive benefits.
Salary:
San Francisco:
$222,000 – $290,000
London:
£149,000 – £195,000. We will be looking to meaningfully raise salaries soon.
Our engineers effectively have an unlimited token budget. If a better result costs more compute, use it.
Flexible work hours and schedule
Unlimited vacation
Unlimited sick leave
Up to 6 months of paid parental leave
Comprehensive health, dental and vision insurance
Retirement savings with competitive employer matching (e.g. 401(k) for US employees)
Lunch, dinner, and snacks are provided for all employees on workdays
Paid work trips, including staff retreats, business trips, and relevant conferences
A yearly $1,000 (USD) professional development budget
Relocation support and visa fees (if applicable)
LOGISTICS
Time Allocation:
Full-time
Location:
This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements.
Visa sponsorship:
We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route.
ABOUT THE TEAM
The product team consists of product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here.
ABOUT APOLLO RESEARCH
The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.
We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here.
We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively.
Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.
HOW TO APPLY
Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples.
About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic.
Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.
Location: San Francisco; London
We are hiring builders to define how people talk to, show things to, and hear from AI
In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
The Multimodal team builds the experiences and infrastructure that move AI interaction beyond touch and text — realtime voice, vision, and the platform systems behind them. We own the full path from a user speaking into a device to an answer coming back: the realtime session infrastructure that connects clients to frontier audio models, the backend orchestration that routes, records, and supervises live sessions, and the SDK that powers voice and multimodal experiences across Perplexity's apps.
As a backend engineer on Multimodal, you will design and scale the distributed systems that carry live voice sessions in production — and drive entirely new products at the intersection of voice, vision, and agents.
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Design, build, and scale the backend session-worker architecture that powers realtime voice: durable per-session workers, provider routing, and stateful streaming over gRPC.
- Own distributed-systems problems end-to-end — session lifecycle, crash recovery, reconnection and replay, multi-region deployment, and graceful degradation under real production load.
- Build provider-agnostic streaming protocols from our backend to the Rust SDK that powers voice across every client stack.
- Drive new products and initiatives in voice and multimodal AI from problem definition through technical design, implementation, and launch.
- Build the orchestration layer that lets live voice models delegate work to tools, agents, and long-running tasks — safely, asynchronously, and at scale.
- Partner closely with SDK, client, infrastructure, and model teams; work across the stack when the product demands it, from backend services to client-facing APIs.
WHAT WE'RE LOOKING FOR
- 4+ years of professional software engineering experience building backend or distributed systems.
- Strong experience in Rust, Python, or Go (we work primarily in Rust and Python).
- Experience designing and operating production distributed systems: streaming RPC (gRPC or similar), stateful services, message-driven architectures, and failure recovery.
- Solid understanding of cloud infrastructure — deploying, scaling, and operating services on AWS or equivalent.
- Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- Experience with realtime media systems: voice, audio streaming, WebRTC, or low-latency transport.
- Full-stack range — comfort building end-to-end, from backend services through client SDKs or web frontends.
- Experience integrating LLMs, speech models, or computer vision into production systems.
- Experience with agent frameworks, tool-calling architectures, or sandboxed execution environments.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: San Francisco; London
We are hiring builders to define how people talk to, show things to, and hear from AI
In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.
The Multimodal team builds the experiences and infrastructure that move AI interaction beyond touch and text — realtime voice, vision, and the platform systems behind them. We own the full path from a user speaking into a device to an answer coming back: the realtime session infrastructure that connects clients to frontier audio models, the backend orchestration that routes, records, and supervises live sessions, and the SDK that powers voice and multimodal experiences across Perplexity's apps.
As a backend engineer on Multimodal, you will design and scale the distributed systems that carry live voice sessions in production — and drive entirely new products at the intersection of voice, vision, and agents.
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Design, build, and scale the backend session-worker architecture that powers realtime voice: durable per-session workers, provider routing, and stateful streaming over gRPC.
- Own distributed-systems problems end-to-end — session lifecycle, crash recovery, reconnection and replay, multi-region deployment, and graceful degradation under real production load.
- Build provider-agnostic streaming protocols from our backend to the Rust SDK that powers voice across every client stack.
- Drive new products and initiatives in voice and multimodal AI from problem definition through technical design, implementation, and launch.
- Build the orchestration layer that lets live voice models delegate work to tools, agents, and long-running tasks — safely, asynchronously, and at scale.
- Partner closely with SDK, client, infrastructure, and model teams; work across the stack when the product demands it, from backend services to client-facing APIs.
WHAT WE'RE LOOKING FOR
- 4+ years of professional software engineering experience building backend or distributed systems.
- Strong experience in Rust, Python, or Go (we work primarily in Rust and Python).
- Experience designing and operating production distributed systems: streaming RPC (gRPC or similar), stateful services, message-driven architectures, and failure recovery.
- Solid understanding of cloud infrastructure — deploying, scaling, and operating services on AWS or equivalent.
- Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- Experience with realtime media systems: voice, audio streaming, WebRTC, or low-latency transport.
- Full-stack range — comfort building end-to-end, from backend services through client SDKs or web frontends.
- Experience integrating LLMs, speech models, or computer vision into production systems.
- Experience with agent frameworks, tool-calling architectures, or sandboxed execution environments.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
Your job is to lead the team building Alpaca's algo trading platform to satisfy our users who expect high quality and performance from their brokerage service. You will design and architect our platform by wearing many different hats in a small team. As a Team Lead you will still write code and make critical technical decisions, but you are also accountable for how the team works: what it builds, how it prioritizes, how it grows, and how reliably it ships.
This is a hands-on leadership role, not a pure management role. We expect you to stay close to the code and the system, and to spend a meaningful part of your time in the codebase, in design reviews, and on production issues. At the same time you will own the team's roadmap, its delivery, and the development of the engineers on it.
The technical bar for this role is the same as our Senior/Staff Software Engineer bar: deep knowledge in both frontend and backend, databases and distributed systems, as well as broad experience from low to high level in CPU-level hardware for high throughput, robust concurrency system design, abstract distributed system architecture for high availability and object-oriented data modeling with long term growth in mind.
You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading), and previous experience leading engineers.
What you will own:
Technical direction and architecture for the team's services, including trade-off decisions and their long term consequences
Roadmap and delivery: breaking down ambiguous business goals into scoped, sequenced engineering work and shipping it predictably
Day-to-day execution: sprint or cycle planning, unblocking engineers, keeping work in flight visible to stakeholders
Code and design quality: setting the standard through reviews, design docs, and your own contributions
Production ownership: reliability, latency and correctness targets for the team's systems, on-call health, and incident follow-through
People: hiring, onboarding, 1:1s, feedback, performance and career growth for a small team of engineers
Cross-team collaboration with product, operations, compliance, clearing and the other engineering teams
Requirements:
Strong, experienced software engineer at a senior or staff level who has led a team, formally or as a tech lead
Demonstrated ability to grow engineers: mentoring, feedback, and raising the level of people around you
Track record of delivering complex systems on schedule, including scoping, sequencing and cutting the right things
Coding skills in both low and high level languages around C/C++, Go, Zig, Rust, Java, Scala, Python
Low latency and high throughput optimization
Experience with messaging queues and message brokers
Analytical data-oriented mindset and skills
Knowledge of algorithms, distributed systems, scalability, high availability, databases, low latency systems and concurrency control
System design skills with object-oriented data modeling, service-oriented architectures, system abstraction
Experience with the development and implementation of Order Management systems (OMS) and Risk Management systems (RMS)
Clear written and verbal communication, including with non-engineering stakeholders
Comfort operating with ambiguity and limited process, as expected at an early stage startup
Nice to have:
Experience hiring and building out an engineering team from a small base
Experience owning a production trading or brokerage system as the accountable lead
Algo trading experience (either professional or personal)
FIX protocol knowledge
Experience with observability, tracing, continuous profiling and benchmarking
Financial market (exchange, broker-dealers, clearing, etc.) knowledge
Experience with financial ledgers
Statistical and quantitative analysis skills
Experience with major cloud platforms (we primarily use GCP)
Experience with Docker and Kubernetes
Experience working with distributed, remote-first teams across time zones
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's RL Data Platform team builds the systems that produce, move, and serve the human data Claude learns from: the interfaces humans use to give feedback, the pipelines that turn raw feedback into training signal, and the tooling researchers use to launch, monitor, and inspect data collection. Every RL run depends on a steady supply of high-quality data - human feedback, expert demonstrations, graded transcripts - and when a researcher has an idea for new data on Monday, our job is to make it collectable by Wednesday and in the training mix by Friday.
This is a full-stack, ownership-heavy role on a small, senior team. You'll design and ship web interfaces used by thousands of expert annotators, build the backend services and data pipelines behind them, and work directly with RL researchers to understand what data they need and why. You'll scope your own projects, make architectural calls, and see them through to production. We're looking for engineers who treat researchers as their users, build for reliability first, and care as much about the shape of the data leaving the system as the UI going into it.
Key responsibilities
Design, build, and operate the feedback and data collection interfaces used by human annotators, domain experts, and internal researchers.
Build and maintain the backend services, APIs, and pipelines that route model samples to humans and return structured feedback to training.
Own the reliability, latency, and usability of systems that run continuously against live model endpoints.
Partner with RL researchers to translate loosely specified data needs into well-scoped collection campaigns and the tooling to run them.
Build dashboards, monitoring, and inspection tools so researchers can see data quality and throughput without asking an engineer.
Identify and remove the bottlenecks between "we want this data" and "it's in the training mix".
Minimum qualifications
Strong full-stack engineering skills, with production experience in TypeScript/React on the frontend and Python on the backend.
Experience designing and operating backend services and data pipelines that other teams depend on.
A track record of owning projects end-to-end, from an ambiguous brief to something in production that people use.
Comfort working directly with technical stakeholders whose needs change week to week, and the judgment to push back when something isn't worth building.
Effective use of AI tools in your own day-to-day work.
Care about the societal impacts of your work.
Preferred qualifications
Experience building annotation, labelling, evaluation, or other human-in-the-loop data tooling.
Experience with RLHF, preference data, or other human-feedback pipelines for ML systems.
Experience shipping researcher-facing or other expert-facing internal tools people love: interviewing users, hunting down friction, measurably improving the experience.
Experience running experiments on data collection interfaces and using the results to improve data quality.
Experience working with crowdworker or expert vendor platforms at scale.
Familiarity with how LLMs are trained and evaluated.
Representative projects
Build an interface that lets a domain expert review a long agentic transcript, flag the step where things went wrong, and write a corrected continuation - with the result landing in a training-ready format.
Rework the sampling path between our feedback interfaces and model endpoints to cut time-to-first-sample for annotators.
Build a campaign launcher that lets a researcher stand up a new data collection effort (task, rubric, population, quality checks) without writing code.
Instrument annotator behaviour to detect low-effort or adversarial work and surface it to the quality team automatically.
Design the data model for a kind of feedback we haven't collected before, and ship the pipeline that gets it into the training mix.
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:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote in the UK; Dublin, Ireland
Workplace: Remote
At Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew are using Sanity to power and automate their content operations.
We’re looking for an empathic senior support engineer who thrives on solving complex technical challenges and helping customers succeed with Sanity at scale.
As a senior member of the team, you will independently own high-impact issues, guide enterprise customers through complex implementations, and improve the systems, workflows, and documentation that power our support organization.
This is not a reactive ticket-queue role. It requires strong technical judgment, calm communication under pressure, and the ability to turn recurring customer friction into lasting improvements.
WHAT YOU WOULD DO:
- Independently own and resolve complex technical issues for enterprise customers.
- Lead investigations into ambiguous or high-severity issues and liaise during incidents, maintaining clear communication throughout.
- Produce high-quality minimal reproductions, reusable code snippets, and structured issue reports.
- Provide informal mentorship and technical guidance to other Support Engineers, helping the team navigate complex issues and continuously improve how we investigate, communicate, and resolve problems.
- Collaborate closely with Product and Engineering to surface patterns and influence product improvements.
- Author and improve documentation, guides, and self-serve resources to reduce recurring issues.
- Contribute to infrastructure, tooling, and workflow improvements within the Support organization.
- Participate in community support rotation and model high standards of clarity and empathy.
- You'll own issues end-to-end, including a paid on-call rotation for high-severity production incidents.
ABOUT YOU:
- Remote in the UK or Ireland
- 4+ years of hands-on experience in developer support or engineering roles.
- Strong experience debugging complex JavaScript/TypeScript and modern web applications (e.g., Next.js).
- Demonstrated success in independently owning complex issues from diagnosis to resolution.
- Ability to elevate those around you through thoughtful collaboration, clear communication, and informal mentorship.
- Comfortable operating under pressure while maintaining clarity and empathy.
- Strong debugging instincts and ability to reason across frontend, APIs, and infrastructure layers.
- Bias toward improving systems, documentation, and processes rather than just resolving individual support requests.
- Curious, proactive, and energized by solving ambiguous problems.
Not sure you’re exactly what we’re looking for in this role? Apply anyway!
WHAT WE CAN OFFER:
- A highly-skilled, inspiring, and supportive team
- Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth
- A global, multi-culturally diverse group of colleagues and customers
- Comprehensive health plans and perks
- A healthy work-life balance that accommodates individual and family needs
- Competitive salary and stock options program
WHO WE ARE:
Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.
Sanity recently raised an $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years.
You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values
Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Location: Anywhere in France, Belgium, Spain
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
🐼 WHO WE ARE
You. Better. With Alan.
Alan's vision is to make prevention the new norm of care for all. Our mission is to help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost center into their most valuable investment.
We're building a vertically integrated health partner that seamlessly unites insurance and smart healthcare delivery into one system.
By connecting all aspects of care - private, public, and direct to consumer - we create the most member-centric healthcare experience. Through deep engagement, we empower everyone to overcome day-to-day health obstacles and live healthier lives.
We partner with 35K+ companies of all sizes, serving more than 1M+ members, and have reached 770M+ in ARR.
Our team of 700 people (still growing) operates across France 🇫🇷, Spain 🇪🇸 and Belgium 🇧🇪.
🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH
You would join the team in charge of building smart products offering the most delightful and scalable Customer Service to 1M+ members.
We have developed a team of AI agents that brings immediate and personalized answers to about 50% of member's questions.
And when it is not enough, we seamlessly transfer the question to our care experts team. We build the cockpit for that handoff and the tooling for the humans who take over. It lets a care expert steer, correct, and supercharge the AI: routing requests, surfacing the right context at the right moment and drafting replies. The expert stays in command; the AI does the heavy lifting.
⚡ WHY THIS ROLE IS SPECIAL
- Direct Impact: Your decisions affect Alan’s scaling, growth, profitability and ability to provide delightful experience to members when they need it the most.
- Human + AI, done right: You won't build AI that replaces people. You'll build the control surface that lets human experts drive the AI - the tools that decide what happens when the AI alone isn't enough.
- Ownership & Growth: Influence product direction, mentor other engineers, and lead technical initiatives that shape the future of healthcare access.
🔍 WHAT WE'RE LOOKING FOR
Technical Requirements:
- 5+ years building scalable software systems
- Full-stack experience (backend and frontend)
What we value:
- You love turning complex problems into elegant solutions
- You care about the "why" behind what you build, not just the "how"
- Humble and still willing to grow (no matter your seniority)
Mission Alignment:
- Healthcare technology excites you
- You understand that insurance isn't just about money - it's about access to care
But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus.
⭐ THE ENGINEERING TEAM ⭐
In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves!
Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction.
We move fast, with a lot of ownership, and are proud to tackle big problems!
Our process is very simple: those who make product decisions are the same ones who build them.
Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it.
Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path.
To see all our opened Engineering positions, click here https://jobs.ashbyhq.com/alan?departmentId=8ba0fb44-ec79-4731-bf45-d65a821e24f0 !
🌍 HOW WE WORK
Location: You must be legally eligible to work in France, Belgium and Spain.
Remote work: We offer remote work flexibility, but we value in-person collaboration.
Check here https://alan.com/en/careers/a/everyday-life for more information about our everyday life!
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan and Career pages, as well as our Medium, blog and Glassdoor pages for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
🔄 A quick note about the process
Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.
Location: Remote in the United States or Canada (West Coast/PT)
Workplace: Remote
At Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew are using Sanity to power and automate their content operations.
We’re looking for an empathic senior support engineer who thrives on solving complex technical challenges and helping customers succeed with Sanity at scale.
As a senior member of the team, you will independently own high-impact issues, guide enterprise customers through complex implementations, and improve the systems, workflows, and documentation that power our support organization.
This is not a reactive ticket-queue role. It requires strong technical judgment, calm communication under pressure, and the ability to turn recurring customer friction into lasting improvements.
WHAT YOU WOULD DO:
- Independently own and resolve complex technical issues for enterprise customers.
- Lead investigations into ambiguous or high-severity issues and liaise during incidents, maintaining clear communication throughout.
- Produce high-quality minimal reproductions, reusable code snippets, and structured issue reports.
- Provide informal mentorship and technical guidance to other Support Engineers, helping the team navigate complex issues and continuously improve how we investigate, communicate, and resolve problems.
- Collaborate closely with Product and Engineering to surface patterns and influence product improvements.
- Author and improve documentation, guides, and self-serve resources to reduce recurring issues.
- Contribute to infrastructure, tooling, and workflow improvements within the Support organization.
- Participate in community support rotation and model high standards of clarity and empathy.
- You'll own issues end-to-end, including a paid on-call rotation for high-severity production incidents.
ABOUT YOU:
- Remote on the West Coast (PDT) in North America
- 4+ years of hands-on experience in developer support or engineering roles.
- Strong experience debugging complex JavaScript/TypeScript and modern web applications (e.g., Next.js).
- Demonstrated success in independently owning complex issues from diagnosis to resolution.
- Ability to elevate those around you through thoughtful collaboration, clear communication, and informal mentorship.
- Comfortable operating under pressure while maintaining clarity and empathy.
- Strong debugging instincts and ability to reason across frontend, APIs, and infrastructure layers.
- Bias toward improving systems, documentation, and processes rather than just resolving individual support requests.
- Curious, proactive, and energized by solving ambiguous problems.
Not sure you’re exactly what we’re looking for in this role? Apply anyway!
WHAT WE CAN OFFER:
- A highly-skilled, inspiring, and supportive team
- Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth
- A global, multi-culturally diverse group of colleagues and customers
- Comprehensive health plans and perks
- A healthy work-life balance that accommodates individual and family needs
- Competitive salary and stock options program
WHO WE ARE:
Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.
Sanity recently raised an $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years.
You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values
Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Location: London; United Kingdom
Workplace: Remote
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality.
We're looking for Platform Engineers who treat the platform as a product, with every engineer at Attio as its customer. You'll own the infrastructure, tooling and pipelines that let the rest of engineering ship quickly and safely, and you'll be accountable for keeping all of it reliable, fast and cost-effective as we scale.
WHAT YOU'LL DO
- Build and evolve our platform infrastructure as code (Terraform, Kubernetes, GCP), so every environment is reproducible, version-controlled and auditable.
- Own our CI/CD pipelines end-to-end, making builds, tests and deploys fast, reliable and secure for every engineer at Attio.
- Own our observability stack - metrics, logging and distributed tracing - as the foundation of an exceptional reliability culture.
- Define and hold SLOs for latency, availability and error rates, and manage capacity to stay comfortably inside them.
- Lead incident response: triage and resolve complex production issues, then run blameless post-mortems and ship the fixes as code.
- Partner with product engineering teams to remove manual toil and shorten the path from writing code to running it in production.
WHAT YOU'LL BRING
- Hands-on experience operating production systems with an SRE mindset: SLOs, error budgets, toil reduction and blameless post-mortems.
- Excellent knowledge of modern cloud architectures (either GCP or AWS), including networking, IAM and managed services.
- Demonstrable deep expertise with Docker and Kubernetes at scale, covering cluster design, networking, storage and security.
- Proficiency in a modern language such as Typescript, Go, Python or Rust, and a track record of writing well-tested automation.
- Experience owning mission-critical operational tooling, including centralised logging or APM (e.g. Datadog, Splunk).
- Ability to communicate technical ideas to the wider team and influence how other engineers build and operate their services.
WHAT WE OFFER
- Competitive salary of £105,000 to £125,000
- Equity in an early-stage tech company on an incredible trajectory
- 25 days holiday plus local public holidays
- Apple hardware
- Private medical insurance through AXA
- Pension contribution through Hargreaves Lansdown
- Enhanced family leave
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
Location: Aarhus Office
The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organisation that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimises data labelling pipelines, and creates predictive models that identify illicit patterns before they escalate.
Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream.
As a Staff Software Engineer within Investigations, you'll be a driving force in a team of engineers, taking ownership of technical direction and sharing responsibility for providing the right tools and the right data to build best in class customer experiences. You'll lead the design, build and maintenance of new customer facing web-features as well as the APIs and services backing them. A key part of this role is partnering closely with product managers and designers, leveraging your deep understanding of the underlying data platform to deliver impactful, scalable solutions to our customers.
In this role, you'll:
- Lead the architecture, maintenance and development of serving cloud-native data ingest and aggregation processes that intake gigabytes of data per day
- Drive the delivery of features across our product suite that detect activities for market manipulation, fraud, behavioural patterning, and more
- Own and scale a high-performance services on AWS that handle thousands of requests per second
- Lead the team's modernisation efforts towards a streaming architecture, setting technical direction and best practices
- Own and drive the direction and enablement of our graphing platform, which is used across multiple products to drive and visualize understanding of our insights and data, both on and off the blockchains
- Debug and resolve production issues across multiple systems and services, guiding the team through complex technical challenges
- Mentor and grow engineers across the team, fostering a culture of technical excellence and collaboration
We're looking for candidates who have:
- Proven experience leading the design and implementation of cloud-native services-based systems in a major cloud provider like AWS or GCP
- A strong track record of mentoring engineers, leading cross-team projects, and driving design and technology decisions at a senior or lead level
- The ability to align technical execution with product and design partners, with a strong bias to ship and iterate
- Deep experience with object-oriented programming languages; we mostly use Java and typescript but appreciate a variety of languages!
- A strong technical background with extensive experience working directly on complex backend and/or frontend systems and projects, including in leadership or lead engineer roles
- Great pride from taking ownership of product ideas from inception through to production
- Good understanding of both frontend and backend best practices and paradigms.
- Integrated AI impactfully in customer-facing products or engineering infrastructure
You might also have:
- Experience with AI-friendly and driven systems
- Exposure to or interest in the cryptocurrency technology ecosystem
- Terraform and Kubernetes knowledge
Technologies we use:
- Java (Spring Boot)
- Typescript (React, Angular)
- Kafka (Warpstream)
- K8S
- Terraform
- PostgreSQL
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: Poland; Portugal; Ireland; Germany
Workplace: Remote
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality.
We're looking for Platform Engineers who treat the platform as a product, with every engineer at Attio as its customer. You'll own the infrastructure, tooling and pipelines that let the rest of engineering ship quickly and safely, and you'll be accountable for keeping all of it reliable, fast and cost-effective as we scale.
WHAT YOU'LL DO
- Build and evolve our platform infrastructure as code (Terraform, Kubernetes, GCP), so every environment is reproducible, version-controlled and auditable.
- Own our CI/CD pipelines end-to-end, making builds, tests and deploys fast, reliable and secure for every engineer at Attio.
- Own our observability stack - metrics, logging and distributed tracing - as the foundation of an exceptional reliability culture.
- Define and hold SLOs for latency, availability and error rates, and manage capacity to stay comfortably inside them.
- Lead incident response: triage and resolve complex production issues, then run blameless post-mortems and ship the fixes as code.
- Partner with product engineering teams to remove manual toil and shorten the path from writing code to running it in production.
WHAT YOU'LL BRING
- Hands-on experience operating production systems with an SRE mindset: SLOs, error budgets, toil reduction and blameless post-mortems.
- Excellent knowledge of modern cloud architectures (either GCP or AWS), including networking, IAM and managed services.
- Demonstrable deep expertise with Docker and Kubernetes at scale, covering cluster design, networking, storage and security.
- Proficiency in a modern language such as Typescript, Go, Python or Rust, and a track record of writing well-tested automation.
- Experience owning mission-critical operational tooling, including centralised logging or APM (e.g. Datadog, Splunk).
- Ability to communicate technical ideas to the wider team and influence how other engineers build and operate their services.
WHAT WE OFFER
- Competitive salary of €105,000 to €125,000
- Equity in an early-stage tech company on an incredible trajectory
- Apple hardware
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
- Location specific benefits
nb. We are open to candidates currently living in: Poland, Germany, Portugal, Ireland
Location: Aarhus Office
The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organisation that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimises data labelling pipelines, and creates predictive models that identify illicit patterns before they escalate.
Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream.
As a Senior Software Engineer within Investigations, you'll be a driving force in a team of engineers, taking ownership of technical direction and sharing responsibility for providing the right tools and the right data to build best in class customer experiences. You'll lead the design, build and maintenance of new customer facing web-features as well as the APIs and services backing them. A key part of this role is partnering closely with product managers and designers, leveraging your deep understanding of the underlying data platform to deliver impactful, scalable solutions to our customers.
In this role, you'll:
- Lead the architecture, maintenance and development of serving cloud-native data ingest and aggregation processes that intake gigabytes of data per day
- Drive the delivery of features across our product suite that detect activities for market manipulation, fraud, behavioural patterning, and more
- Own and scale a high-performance services on AWS that handle thousands of requests per second
- Lead the team's modernisation efforts towards a streaming architecture, setting technical direction and best practices
- Own and drive the direction and enablement of our graphing platform, which is used across multiple products to drive and visualise understanding of our insights and data, both on and off the blockchains
- Debug and resolve production issues across multiple systems and services, guiding the team through complex technical challenges
- Mentor and grow engineers across the team, fostering a culture of technical excellence and collaboration
We're looking for candidates who have:
- Proven experience leading the design and implementation of cloud-native services-based systems in a major cloud provider like AWS or GCP
- A strong track record of mentoring engineers, leading cross-team projects, and driving design and technology decisions at a senior or lead level
- The ability to align technical execution with product and design partners, with a strong bias to ship and iterate
- Deep experience with object-oriented programming languages; we mostly use Java and typescript but appreciate a variety of languages!
- A strong technical background with extensive experience working directly on complex backend and/or frontend systems and projects, including in leadership or lead engineer roles
- Great pride from taking ownership of product ideas from inception through to production
- Good understanding of both frontend and backend best practices and paradigms.
- Integrated AI impactfully in customer-facing products or engineering infrastructure
You might also have:
- Experience with AI-friendly and driven systems
- Exposure to or interest in the cryptocurrency technology ecosystem
- Terraform and Kubernetes knowledge
Technologies we use:
- Java (Spring Boot)
- Typescript (React, Angular)
- Kafka (Warpstream)
- K8S
- Terraform
- PostgreSQL
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: London; United Kingdom
Workplace: Hybrid
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality.
We're looking for Platform Engineers who treat the platform as a product, with every engineer at Attio as its customer. You'll own the infrastructure, tooling and pipelines that let the rest of engineering ship quickly and safely, and you'll be accountable for keeping all of it reliable, fast and cost-effective as we scale.
WHAT YOU'LL DO
- Build and evolve our platform infrastructure as code (Terraform, Kubernetes, GCP), so every environment is reproducible, version-controlled and auditable.
- Own our CI/CD pipelines end-to-end, making builds, tests and deploys fast, reliable and secure for every engineer at Attio.
- Own our observability stack - metrics, logging and distributed tracing - as the foundation of an exceptional reliability culture.
- Define and hold SLOs for latency, availability and error rates, and manage capacity to stay comfortably inside them.
- Lead incident response: triage and resolve complex production issues, then run blameless post-mortems and ship the fixes as code.
- Partner with product engineering teams to remove manual toil and shorten the path from writing code to running it in production.
WHAT YOU'LL BRING
- Hands-on experience operating production systems with an SRE mindset: SLOs, error budgets, toil reduction and blameless post-mortems.
- Excellent knowledge of modern cloud architectures (either GCP or AWS), including networking, IAM and managed services.
- Demonstrable deep expertise with Docker and Kubernetes at scale, covering cluster design, networking, storage and security.
- Proficiency in a modern language such as Typescript, Go, Python or Rust, and a track record of writing well-tested automation.
- Experience owning mission-critical operational tooling, including centralised logging or APM (e.g. Datadog, Splunk).
- Ability to communicate technical ideas to the wider team and influence how other engineers build and operate their services.
WHAT WE OFFER
- Competitive salary of £105,000 to £125,000
- Equity in an early-stage tech company on an incredible trajectory
- 25 days holiday plus local public holidays
- Apple hardware
- Private medical insurance through AXA
- Pension contribution through Hargreaves Lansdown
- Enhanced family leave
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
УдалённоEurope
seniorГеография найма не уточнена
УдалённоseniorRemote - North America - South America - Europe
ОфисLondon & San Francisco; Relocation support and visa fees (if applicable)
San Francisco; London
San Francisco; London
УдалённоleadExperience working with distributed, remote-first teams across time zones