What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're on the cutting edge of defining how AI agents should work — inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits at the heart of the Service Agent pillar — 12 teams and growing, building every capability that makes Fin work. You'll partner at the strategic pillar level: broad context across work streams, deep technical understanding of how Fin operates end-to-end, and the autonomy to decide where you need to go next. When we need a new work stream spun up from scratch — a brand new team, an ambiguous problem space, aggressive timelines — you're the person who makes that happen.

The competitive landscape is intense. Fast-moving AI-native startups are coming hard for this space, shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure, who can maintain technical excellence while moving at startup speed within a company that has the resources and customer base to make that speed count.

What will you do?

• Partner at the strategic pillar level. You'll have broad context across work streams and use that to inform technical strategy and investment priorities. What should we care about? Where should we invest? Where do you need to step in? These are your decisions.
• Spin up 0-to-1 work streams. Bring together engineers who've never worked as a team, disambiguate the problem space, build momentum under aggressive timelines, set high expectations, and drive execution.
• Execute on the most ambiguous, highest-stakes problems. You're hands-on. You write code, you ship features, you're deep in the weeds. We've seen too many Principal Engineers who are brilliant but too far from execution to be effective here.
• Lead experimental work at the AI frontier. Run your own A/B tests, do prompt engineering, build evals, and calibrate accuracy, cost, and latency for LLM-powered features. Much of what we're building are new paradigms for customer-facing software.
• Shape long-term technical strategy through execution. Your hands-on work informs the architecture. You're simultaneously building and thinking about what needs to change about how we build products — data models, system design, the shift from GUI-first to agent-first interfaces.
• Work across the full stack in an AI-first development environment. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development and help shape how the entire engineering org works.
• Raise the bar for the people around you. Give direct, actionable feedback that changes outcomes. We don't need someone who mentors juniors on the basics — we need someone who can accelerate and grow the senior and staff engineers around them.

What are we looking for?

The core requirement: engineering depth and product thinking. We need someone who combines deep engineering ability with strong product and design instincts — not one or the other. We don't want engineers who are technically brilliant but disconnected from the product. And we don't want product-minded engineers who have great instincts but can't execute at the level this work demands. You need to be able to both build complex systems AND identify the right problems to solve. This is the single most important dimension we evaluate on.

Beyond that:

• Operated at real scale and has builder energy. You've likely spent time at companies operating at significant scale — the kind of environment where you've seen what large-scale distributed systems actually look like in production. But you also have startup DNA: urgency, resourcefulness, a bias toward building over discussing.
• AI fluency. You're actively experimenting with AI-assisted development, pushing the boundaries of what's possible, and forming opinions about how it changes the way teams build software. This matters more than any specific stack experience.
• Deep technical depth with breadth. You can go deep into the weeds on at least one technical domain, but you also navigate complex multi-team systems with ease. In conversation, you move fluidly from business context to technical strategy to implementation details.
• Communication as a superpower. You can explain to leadership why a technical investment matters, align multiple teams around a complex project, and then walk an engineer through the gnarly implementation details. This role lives and dies on your ability to communicate across every level.
• Extreme autonomy. You partner with the Engineering Director on where you think the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of engineer who waits to be told what to work on, this isn't the right role.
• Critical thinking about the business. You understand what Intercom is optimizing for and translate that into technical decisions. Which work streams need investment? Where are we falling behind? What should we defund to go harder somewhere else? You think at this level naturally.
• At least ~10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders.
• Stack agnostic. We use Ruby on Rails, React (migrating from Ember), and AWS. But AI tools increasingly abstract the stack — what matters is your ability to learn, build, and operate effectively with tools like Claude Code. If you're great with a high-level programming language and fluent with AI-assisted development, you'll be productive fast.

Why Intercom, why now?

Fin is #1 — and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. This is one of the most consequential competitive moments in tech history, and the engineering decisions made in the next 12 months will determine who wins.

A rare pivot that actually worked. Intercom has been building for 15 years — deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster..

AI-first engineering culture. Every engineer gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in the platform capabilities — MCP servers, skills, shared tooling — that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

The sweet spot. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're on the cutting edge of defining how AI agents should work — inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits at the heart of the Service Agent pillar — 12 teams and growing, building every capability that makes Fin work. You'll partner at the strategic pillar level: broad context across work streams, deep technical understanding of how Fin operates end-to-end, and the autonomy to decide where you need to go next. When we need a new work stream spun up from scratch — a brand new team, an ambiguous problem space, aggressive timelines — you're the person who makes that happen.

The competitive landscape is intense. Fast-moving AI-native startups are coming hard for this space, shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure, who can maintain technical excellence while moving at startup speed within a company that has the resources and customer base to make that speed count.

What will you do?

• Partner at the strategic pillar level. You'll have broad context across work streams and use that to inform technical strategy and investment priorities. What should we care about? Where should we invest? Where do you need to step in? These are your decisions.
• Spin up 0-to-1 work streams. Bring together engineers who've never worked as a team, disambiguate the problem space, build momentum under aggressive timelines, set high expectations, and drive execution.
• Execute on the most ambiguous, highest-stakes problems. You're hands-on. You write code, you ship features, you're deep in the weeds. We've seen too many Principal Engineers who are brilliant but too far from execution to be effective here.
• Lead experimental work at the AI frontier. Run your own A/B tests, do prompt engineering, build evals, and calibrate accuracy, cost, and latency for LLM-powered features. Much of what we're building are new paradigms for customer-facing software.
• Shape long-term technical strategy through execution. Your hands-on work informs the architecture. You're simultaneously building and thinking about what needs to change about how we build products — data models, system design, the shift from GUI-first to agent-first interfaces.
• Work across the full stack in an AI-first development environment. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development and help shape how the entire engineering org works.
• Raise the bar for the people around you. Give direct, actionable feedback that changes outcomes. We don't need someone who mentors juniors on the basics — we need someone who can accelerate and grow the senior and staff engineers around them.

What are we looking for?

The core requirement: engineering depth and product thinking. We need someone who combines deep engineering ability with strong product and design instincts — not one or the other. We don't want engineers who are technically brilliant but disconnected from the product. And we don't want product-minded engineers who have great instincts but can't execute at the level this work demands. You need to be able to both build complex systems AND identify the right problems to solve. This is the single most important dimension we evaluate on.

Beyond that:

• Operated at real scale and has builder energy. You've likely spent time at companies operating at significant scale — the kind of environment where you've seen what large-scale distributed systems actually look like in production. But you also have startup DNA: urgency, resourcefulness, a bias toward building over discussing.
• AI fluency. You're actively experimenting with AI-assisted development, pushing the boundaries of what's possible, and forming opinions about how it changes the way teams build software. This matters more than any specific stack experience.
• Deep technical depth with breadth. You can go deep into the weeds on at least one technical domain, but you also navigate complex multi-team systems with ease. In conversation, you move fluidly from business context to technical strategy to implementation details.
• Communication as a superpower. You can explain to leadership why a technical investment matters, align multiple teams around a complex project, and then walk an engineer through the gnarly implementation details. This role lives and dies on your ability to communicate across every level.
• Extreme autonomy. You partner with the Engineering Director on where you think the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of engineer who waits to be told what to work on, this isn't the right role.
• Critical thinking about the business. You understand what Intercom is optimizing for and translate that into technical decisions. Which work streams need investment? Where are we falling behind? What should we defund to go harder somewhere else? You think at this level naturally.
• At least ~10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders.
• Stack agnostic. We use Ruby on Rails, React (migrating from Ember), and AWS. But AI tools increasingly abstract the stack — what matters is your ability to learn, build, and operate effectively with tools like Claude Code. If you're great with a high-level programming language and fluent with AI-assisted development, you'll be productive fast.

Why Intercom, why now?

Fin is #1 — and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. This is one of the most consequential competitive moments in tech history, and the engineering decisions made in the next 12 months will determine who wins.

A rare pivot that actually worked. Intercom has been building for 15 years — deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster..

AI-first engineering culture. Every engineer gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in the platform capabilities — MCP servers, skills, shared tooling — that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

The sweet spot. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

• Excellent debugging, analytical, problem solving, and social skills

(REQ ID: 2380)

Your Impact

We are looking for a Software Engineer to join the Identity and Access Management team.

Join our new team dedicated to authentication and user rights management. As a Software Engineer, you will play a key role in leading the gold standard for access control on Doctolib's platform. Help protect sensitive user and financial data while enabling seamless workflows for healthcare professionals. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.

What you'll do

Your responsibilities include but are not limited to:

• Develop and maintain secure authentication and authorization services that scale across millions of users
• Design and build modern OIDC authentication flows on Keycloak that handle security-critical traffic across Doctolib's platform
•  Lead large-scale migrations of authentication journeys to the new IAM stack, ensuring zero-downtime rollouts and measurable improvements in scalability, security, and developer experience 
• Build high-performance backend features using Java/Kotlin and Springboot, working with event-driven architectures (Kafka)
• Collaborate with product managers, designers, and engineers across teams to deliver secure, user-first solutions
• Contribute to frontend implementations using React (TypeScript/JavaScript) to create seamless user experiences
• Bring your expertise to continuously improve our engineering practices, code quality, and system reliability.

Who you are

Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

You'll be a great fit if you:

• You have at least 4+ years of software engineering experience as a developer
• You have strong backend development skills with Java or Kotlin and experience with distributed systems
• You are willing to learn and work with Ruby on Rails
• You are willing to work on frontend development with React
• You have a "user first" mindset and want to build products focused on bringing value through secure, well-tested, and pragmatic code
• You are proactive, curious, collaborative, and eager to learn
• You integrate AI into your daily workflow
• You are fluent in English (German is a plus)

Life at Doctolib Tech

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.

Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.

What we offer

• A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib
• 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days)
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Company health insurance with great supplementary benefits through our partner Allianz
• Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period)
• The Doctolib Parent Care program, which includes one month additional parental leave and much more
• Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
• Free mental health and coaching services through our partner Moka.care
• Subsidized sports membership through our partner Urban Sports Club
• A flexible workplace policy offering both hybrid and office-based mode
• Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility
• Access to the best AI tools for coding, development and dedicated training

Our interview process

• Recruiter Interview
• Feature Building Interview
• System Design Interview
• Behavioral Interview
• At least one reference check

We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.

Job details

• Permanent position
• Tech stack: Java, Kotlin, Ruby on Rails, React
• Full-time
• Location: Berlin, Germany
• Working mode: Hybrid
• Start date: as soon as possible

We welcome everyone

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

Your data privacy

All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Speed is something we fight for every day at Intercom, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.

Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!

What's the opportunity? 

We’re looking for Senior Product Engineers to join the AI Infrastructure team to help Intercom build AI-powered products. Product Engineers in AI infrastructure work closely with other ML engineers and our ML Scientists teams. You will deeply understand our product, our ML tech stack, how we develop product, and how we can accelerate that process further.

The wider AI group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

AI infrastructure is building a platform to move extremely quickly, adapting to new AI advancements in a matter of days, but providing the safety shield to other engineers so our customers always get a good service. We often provide services at the core of AI systems, and write framework-level code that other engineers and scientists in the AI group use daily.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model and change we deploy.

If you are an experienced backend engineer who takes an analytical approach to development and has some hands-on experience with ML systems and platforms, we'd love to hear from you! 

What will I be doing? 

• Build the systems that power Intercom’s flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too. 
• Work alongside our ML engineers and ML Scientists to bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use.
• Partner with ML engineers and ML scientists to build the underlying platform that helps them shape the best AI-powered product experience for our customers..
• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.
• Play an active role in the hiring, mentoring, and career development of other engineers.
• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

Profile we’re looking for 

• 5+ years of experience shipping high-quality products, preferably backend.
• You can demonstrate significant impact in the work that you have done.
• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.
• Deep knowledge of a high-level programming language (for example, Python, Ruby etc.) 
• Strong willingness to fight for good outcomes
• Ability to deep dive into any part of the tech stack.
• Bias towards progress over perfection.
• Excited about progress in the AI space.

Bonus skills & attributes 

• 1+ year of experience building ML-powered products. You’ll be supported by, and learn from teammates with deep ML experience.
• Built or used ML platforms before.
• Deep understanding of some distributed systems (e.g. database, caches, queues, streams).
• Statistics fundamentals.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Generous paid time off above statutory minimum
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Fun events for Intercomrades, friends, and family!

#LI-Hybrid

Speed is something we fight for every day at Intercom, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.

Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!

What's the opportunity? 

We’re looking for Senior Product Engineers to join the AI Group to build Intercom’s AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. 

Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! 

What will I be doing? 

Product Engineers in the AI Group

• Build the systems that power Intercom’s flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.

• Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use.

• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers..

• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.

• Play an active role in the hiring, mentoring, and career development of other engineers.

• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

Profile we’re looking for 

These are meant to be indicative, not hard requirements.

• 5+ years of experience shipping high-quality products.

• No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.

• You can demonstrate significant impact in the work that you have done.

• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.

• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here!

• Strong willingness to fight for good outcomes

• Bias towards progress over perfection

• BSc in Computer Science, Maths or Statistics or related discipline 

Bonus skills & attributes 

• Previous experience in data analytics, or statistical role

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Generous paid time off above statutory minimum
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Fun events for Intercomrades, friends, and family!

#LI-Hybrid

What's the opportunity? 

We’re looking for Staff Product Engineers to join the AI Group to build Intercom’s AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. 

Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! 

What will I be doing? 

Product Engineers in the AI Group

• Build the systems that power Intercom’s flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.

• Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use.

• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers..

• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.

• Play an active role in the hiring, mentoring, and career development of other engineers.

• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

Profile we’re looking for 

These are meant to be indicative, not hard requirements.

• 10+ years of experience shipping high-quality products.

• No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.

• You can demonstrate significant impact in the work that you have done.

• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.

• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here!

• Strong willingness to fight for good outcomes

• Bias towards progress over perfection

• BSc in Computer Science, Maths or Statistics or related discipline 

Bonus skills & attributes 

• Previous experience in data analytics, or statistical role

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Generous paid time off above statutory minimum
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Fun events for Intercomrades, friends, and family!

#LI-Hybrid

Speed is something we fight for every day at Intercom, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products.

Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent!

What's the opportunity? 

We’re looking for Staff Product Engineers to join the AI Group to build Intercom’s AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. 

Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! 

What will I be doing? 

Product Engineers in the AI Group

• Build the systems that power Intercom’s flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too.

• Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use.

• Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers..

• Contribute to all phases of software development including ideation, prototyping, and implementation and testing.

• Play an active role in the hiring, mentoring, and career development of other engineers.

• Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom.

Profile we’re looking for 

These are meant to be indicative, not hard requirements.

• 7+ years of experience shipping high-quality products.

• No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team.

• You can demonstrate significant impact in the work that you have done.

• You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development.

• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here!

• Strong willingness to fight for good outcomes

• Bias towards progress over perfection

• BSc in Computer Science, Maths or Statistics or related discipline 

Bonus skills & attributes 

• Previous experience in data analytics, or statistical role

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Generous paid time off above statutory minimum
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Fun events for Intercomrades, friends, and family!

#LI-Hybrid

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're on the cutting edge of defining how AI agents should work — inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits at the heart of the Service Agent pillar — 12 teams and growing, building every capability that makes Fin work. You'll partner at the strategic pillar level: broad context across work streams, deep technical understanding of how Fin operates end-to-end, and the autonomy to decide where you need to go next. When we need a new work stream spun up from scratch — a brand new team, an ambiguous problem space, aggressive timelines — you're the person who makes that happen.

The competitive landscape is intense. Fast-moving AI-native startups are coming hard for this space, shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure, who can maintain technical excellence while moving at startup speed within a company that has the resources and customer base to make that speed count.

What will you do?

• Partner at the strategic pillar level. You'll have broad context across work streams and use that to inform technical strategy and investment priorities. What should we care about? Where should we invest? Where do you need to step in? These are your decisions.
• Spin up 0-to-1 work streams. Bring together engineers who've never worked as a team, disambiguate the problem space, build momentum under aggressive timelines, set high expectations, and drive execution.
• Execute on the most ambiguous, highest-stakes problems. You're hands-on. You write code, you ship features, you're deep in the weeds. We've seen too many Principal Engineers who are brilliant but too far from execution to be effective here.
• Lead experimental work at the AI frontier. Run your own A/B tests, do prompt engineering, build evals, and calibrate accuracy, cost, and latency for LLM-powered features. Much of what we're building are new paradigms for customer-facing software.
• Shape long-term technical strategy through execution. Your hands-on work informs the architecture. You're simultaneously building and thinking about what needs to change about how we build products — data models, system design, the shift from GUI-first to agent-first interfaces.
• Work across the full stack in an AI-first development environment. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development and help shape how the entire engineering org works.
• Raise the bar for the people around you. Give direct, actionable feedback that changes outcomes. We don't need someone who mentors juniors on the basics — we need someone who can accelerate and grow the senior and staff engineers around them.

What are we looking for?

The core requirement: engineering depth and product thinking. We need someone who combines deep engineering ability with strong product and design instincts — not one or the other. We don't want engineers who are technically brilliant but disconnected from the product. And we don't want product-minded engineers who have great instincts but can't execute at the level this work demands. You need to be able to both build complex systems AND identify the right problems to solve. This is the single most important dimension we evaluate on.

Beyond that:

• Operated at real scale and has builder energy. You've likely spent time at companies operating at significant scale — the kind of environment where you've seen what large-scale distributed systems actually look like in production. But you also have startup DNA: urgency, resourcefulness, a bias toward building over discussing.
• AI fluency. You're actively experimenting with AI-assisted development, pushing the boundaries of what's possible, and forming opinions about how it changes the way teams build software. This matters more than any specific stack experience.
• Deep technical depth with breadth. You can go deep into the weeds on at least one technical domain, but you also navigate complex multi-team systems with ease. In conversation, you move fluidly from business context to technical strategy to implementation details.
• Communication as a superpower. You can explain to leadership why a technical investment matters, align multiple teams around a complex project, and then walk an engineer through the gnarly implementation details. This role lives and dies on your ability to communicate across every level.
• Extreme autonomy. You partner with the Engineering Director on where you think the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of engineer who waits to be told what to work on, this isn't the right role.
• Critical thinking about the business. You understand what Intercom is optimizing for and translate that into technical decisions. Which work streams need investment? Where are we falling behind? What should we defund to go harder somewhere else? You think at this level naturally.
• At least ~10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders.
• Stack agnostic. We use Ruby on Rails, React (migrating from Ember), and AWS. But AI tools increasingly abstract the stack — what matters is your ability to learn, build, and operate effectively with tools like Claude Code. If you're great with a high-level programming language and fluent with AI-assisted development, you'll be productive fast.

Why Intercom, why now?

Fin is #1 — and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. This is one of the most consequential competitive moments in tech history, and the engineering decisions made in the next 12 months will determine who wins.

A rare pivot that actually worked. Intercom has been building for 15 years — deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster..

AI-first engineering culture. Every engineer gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in the platform capabilities — MCP servers, skills, shared tooling — that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

The sweet spot. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary, annual bonus and equity
• Regular compensation reviews - we reward great work!
• Generous paid time off above statutory minimum
• Hybrid working
• MacBooks are our standard, but we also offer Windows for certain roles when needed.
• Fun events for employees, friends and family!

#LI-Hybrid

What we do

What you'll do

• Design, ship, and operate production-grade agentic LLM systems that improve patient-practitioner interaction and streamline healthcare workflows
• Validate hypothesis with offline evaluation datasets and A/B tests on real traffic
• Partner with other machine learning teams to design and improve evaluation pipelines, security/safety guardrails, and metrics
• Develop and maintain core agentic capabilities, including memory, reasoning orchestration, and tool adapters, ensuring strong observability, fallback mechanisms, and fail-safe behaviors
• Own performance, observability, and security: monitoring dashboards, SLO/SLI, security posture
• Ensure privacy and security by design
• Contribute to cross-functional initiatives that shape Doctolib's future AI platform and best practices in building agentic systems that will reinvent the work of health professionals and improve people's health

About our tech environment

• Our solutions are built on a single, fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here!

Who you are

• You have 6+ years of experience as a software engineer, with significant experience using Python
• You have a track record of experience with the full lifecycle of an AI product at scale, from initial evaluation and launch to iterations based on results in production
• You understand and promote best practices related to the software development life cycle, such as automated testing, good use of CI/CD, and DevOps practices (you build it - you run it)
• You are product-oriented and comfortable guiding your teammates to suggest tradeoffs to balance business needs with technical constraints
• You are very focused on code quality and have a rigorous testing culture
• You are eager to share your knowledge and help the team grow by pair programming and mentoring
• You are comfortable speaking & writing in English in your day-to-day with the team

• Have experience with agentic systems in production
• Have experience in the medical domain

What we offer

• A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib
• 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days)
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Company health insurance with great supplementary benefits through our partner Allianz
• Company pension scheme (bAV) through Allianz with an employer subsidy
  of 40% (15% within the probationary period)
• Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
• The Doctolib Parent Care program, which includes one month additional parental leave and much more
• Free mental health and coaching services through our partner Moka.care
• Subsidized sports membership through our partner Urban Sports Club
• A flexible workplace policy offering both hybrid and office-based mode
• Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support

The interview process

• Recruiter Interview
• Feature Building Interview
• AI System Design Interview
• Behavioral Interview
• Reference check
• Offer!

Job details

• Full-time
• Location: Berlin
• Working mode: Hybrid
• Start date: as soon as possible

Your Impact

What you'll build

• Build and operate scalable backend services in Node.js/TypeScript with additional exposure to Python
• Ship cloud-native systems on Kubernetes and major Cloud Services (AWS/Azure/GCP)
• Set up and evolve CI/CD pipelines with GitHub Actions while maintaining a high testing standard (unit, integration, e2e)
• Debug and improve distributed systems in production with strong observability practices
• Learn and apply VoIP telephony fundamentals (SIP, RTP, etc.) to power real-time communication features
• Own roadmap items end-to-end and contribute to pragmatic, secure architecture decisions
• Design data models and drive database migrations and performance tuning for real-time workloads using PostgreSQL

What you'll bring

• You have at least 5+ years of backend engineering experience
• You have the ability to design, build, and maintain scalable, resilient backend systems using Node.js/TypeScript with some Python
• You have proven experience deploying and operating services on Kubernetes within at least one major Cloud Service (AWS, Azure, or GCP)
• You have experience with CI/CD (e.g., GitHub Actions) and maintain a strong testing culture (unit/integration/e2e)
• You have solid debugging skills for microservices and distributed systems
• You have working knowledge of relational databases (PostgreSQL/MySQL) and schema design
• You have an interest in or exposure to VoIP telephony basics (SIP, RTP/SRTP, SBCs, SIP trunks)

• You have experience with real-time communication systems (WebRTC, streaming, etc.)
• You have worked with event-driven architectures and message brokers (Kafka/RabbitMQ/NATS/Redis Streams)
• You are familiar with software design patterns; Domain-Driven Design is a plus
• You have experience with PostgreSQL (migrations, EXPLAIN/ANALYZE, indexing strategies, connection pooling) and Redis (caching, short-lived state, queues)

Life at Doctolib Tech

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.

What we offer

• A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib
• 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days)
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Company health insurance with great supplementary benefits through our partner Allianz
• Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period)
• The Doctolib Parent Care program, which includes one month additional parental leave and much more
• Free mental health and coaching services through our partner Moka.care
• Subsidized sports membership through our partner Urban Sports Club
• A flexible workplace policy offering both hybrid and office-based mode
• Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility
• Access to the best AI tools for coding, development and dedicated training

Our interview process

• Recruiter Interview
• Live coding interview
• System Design interview
• Behavioral interview
• At least one reference check

Job details

• Permanent position
• Tech stack: Node.js, TypeScript, Python, Kubernetes, PostgreSQL
• Full-time
• Hybrid work mode: 3 days/week in the office
• Location: Berlin, Germany
• Start date: as soon as possible

We welcome everyone

We are looking for a Senior Software Engineer to join the TIGAH team in our Patient Relationship Management domain.

Your Impact

As a Senior Software Engineer, your mission will be to work on Document Management, Patient Qualification and Patient Intake. These features are key to streamline patient care journeys inside healthcare practices, improving health professionals' work life with reduced paperwork, while ensuring best care delivery to patients.

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.

What you'll do

Build and ship features across both the discovery and delivery phases of product developmentDevelop the Ruby on Rails monolith with React (TypeScript) frontend as well as work on newly created services in Java/KotlinShare your knowledge proactively via pair- and mob-programming sessionsWork on infrastructure topics like observability (metrics/alerts in DataDog) and scalabilityWrite test-driven pragmatically engineered code

Who you are

You have:

At least 6 years of experience in Software EngineeringProficiency with Java/Kotlin or Ruby on Rails developmentProficiency with React developmentA proactive, involved, curious, and collaborative mindset

It would be fantastic if you:

• Have experience shipping cloud-native systems on Kubernetes and Cloud Services (AWS/Azure/GCP)
• Can set up and evolve CI/CD with GitHub Actions
• Keep a high testing bar (unit, integration, e2e) and design for testability
• Can debug and improve distributed systems in production with strong observability
• Have expertise in designing data models and driving database migrations and performance tuning for real-time workloads (PostgreSQL preferred: connection pooling, indexing, query optimization)

Life at Doctolib Tech

Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!

Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.

What we offer  

• Company health insurance through our partner Allianz
• Minimum 28 days of paid leave
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• A flexible workplace policy offering both hybrid and office-based mode
• Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
• Reimbursement of public transportation

  The interview process  

• Recruiter Interview
• Live coding interview
• System Design interview
• Behavioral interview
• Offer!

 Job details 

• Permanent position
• Full Time 
• Hybrid work mode: 3 days/week in the office
• Workplace : Berlin
• Start date: asap

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, or ethnicity, and whether or not you have a disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com to exercise your rights (but not for applications).

Join our mission, join Doctolib!

What you'll do 

Join our new team dedicated to user rights and permission management. As a Senior Software Engineer, you will play a key role in leading the gold standard for access control on Doctolib's platform. Help protect sensitive user and financial data while enabling seamless workflows for healthcare professionals.

As a Senior Software Engineer, your responsibilities include but are not limited to:

• Building Advanced Authorization Systems: Design and implement scalable authorization frameworks, including role-based and API-driven controls that support both clinical and financial features
• Modernizing Legacy Systems: Simplifying and cleaning up legacy access models (e.g., EHR authorizations), ensuring data protection and privacy compliance
• Cross-functional Collaboration: Working closely with product, legal, and data protection teams to deliver privacy-compliant solutions
• API Development: Building and maintaining robust APIs for permissions and authorization that enable broader platform integration
• Implementing access control for emerging roles like Medical Front Assistant and new Clinical & Financial admin roles

About our tech environment

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components. 
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift and React Native.
• We leverage AI in an ethical manner across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!

Who you are 

Before you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

• Senior-Level Experience: 5+ years of full-stack software engineering experience within a cross collaborative environment 
• API Development: Proven experience building and maintaining APIs for permissions/authorization systems
• Regulated Environments: Experience in access control, security, or authorization systems. ideally in healthcare, fintech, or other highly regulated domains
• Full-stack Mindset: Curiosity and willingness to work across both frontend and backend
• Independency in solving tech challenges: Ability to balance right solutions for the right tech problems.

Technical Stack

• Scalable & event driven Design: Demonstrated ability to design and implement scalable frameworks for complex user rights and permissions management. Experience in Kafka is optimal
• Proficiency in backend development, ideally in a tech stack similar to Doctolib’s

What we offer

• A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib
• 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days)
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Company health insurance with great supplementary benefits through our partner Allianz
• Company pension scheme (bAV) through Allianz with an employer subsidy
  of 40% (15% within the probationary period)
• The Doctolib Parent Care program, which includes one month additional parental leave and much more
• Free mental health and coaching services through our partner Moka.care
• Subsidized sports membership through our partner Urban Sports Club
• A flexible workplace policy offering both hybrid and office-based mode
• Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility

The interview process 

• Recruiter Interview 
• Feature Building 
• System Design interview 
• Behavioral interview 
• At least one reference check

Job details

• Permanent Position 
• Full time 
• Location: Berlin
• Working Mode: Hybrid (3 days/week in office)
• Start Date: As soon as possible

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles! 

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. 

Join us in building the healthcare we all dream of!

All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

• Lead, coach, and grow a team of Site Reliability Engineers, supporting their technical development and career progression
• Create a culture of operational excellence, continuous improvement, and psychological safety within the team
• Conduct regular 1:1s, performance reviews, and career development conversations
• Recruit, onboard, and retain top SRE talent aligned with Doctolib's mission and values

• Partner with SREs and senior engineers to define and evolve the observability strategy across the platform, focusing on logging, metrics, tracing, and alerting
• Own the strategy and evolution of critical transversal services including HashiCorp Vault and Terraform Enterprise
• Drive prioritization and roadmap planning for large-scale reliability and observability initiatives
• Ensure alignment between team objectives and broader engineering and business goals
• Advocate for and allocate resources toward reducing technical debt and improving developer experience

• Own the team's on-call experience and contribute to the incident response processes, ensuring sustainable practices and continuous improvement
• Ensure high availability and reliability of transversal services that are critical to the entire engineering organization
• Lead postmortem reviews and drive systemic improvements to prevent recurring issues

• Work closely with Product Managers, Engineering Managers, and architects to align observability capabilities with product and platform needs
• Partner with security and infrastructure teams to evolve secrets management and IaC practices across the organization
• Represent the OREO team in engineering leadership forums, architectural reviews, and strategic planning sessions
• Foster strong partnerships with software engineering teams to improve instrumentation quality and adoption of observability best practices

About our tech environment

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!

Who you are

• You have at least 5+ years of software engineering or SRE experience, with a strong technical background in cloud-native environments (preferably AWS, GCP, and/or Kubernetes-based)
• You have 3+ years of engineering management experience, leading technical teams (ideally SRE, platform, or infrastructure teams)
• You have deep understanding of observability tooling and architecture (Fluent Bit, OpenTelemetry, Loki, Elasticsearch, Prometheus, Thanos, Datadog)
• You have experience with infrastructure as code (Terraform, OpenTofu) and secrets management systems (Vault, AWS Secrets Manager)
• You have proven ability to balance technical depth with people leadership, able to mentor engineers, review technical designs, and guide architectural decisions

• Have experience scaling SRE or platform teams in fast-growing, high-traffic environments
• Have background in designing and operating high-scale telemetry pipelines
• Have hands-on experience with HashiCorp Vault and Terraform Enterprise in production environments
• Have hands-on experience with backend programming languages (e.g., Go, Python, Ruby)
• Have experience driving cultural and technical transformations

What we offer

• Free comprehensive health insurance for you and your children
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
• Work Council subsidy to refund part of sport club membership or creative class
• Up to 14 days of RTT
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• Lunch voucher with Swile card

The interview process

• 30-min phone screen with a Tech Recruiter
• 1h30 technical interview (SRE System Design & Architecture)
• 1h15 behavioral interview (Leadership & People Management)
• 1h30 Engineering Management case study (team scenarios, prioritization, and conflict resolution)
• 1h manager interview with Senior Engineering Leadership
• At least one reference check

Job details

• Permanent position
• Full-time
• Berlin
• Start date: as soon as possible