Scala Jobs in Berlin.
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Kotlin Backend Engineer - Merchant Group
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.
We’re looking for experienced Software Engineers to join various teams within the Merchant Group at Wolt! If you have a strong track record of building and maintaining scalable, production-grade systems and want to drive impact at scale, this is the place for you.
Who We Are
The Merchant Group consists of 150+ engineers across 25+ cross-functional teams, working together to help merchants grow their businesses and streamline operations through innovative technology. Some of us focus on building seamless experiences for our merchants, while others work on the behind-the-scenes magic that makes everything run smoothly.
What You’ll Do
As an engineer in our group, you’ll work on production-level microservices in Kotlin and Go, helping shape how merchants succeed with Wolt. You’ll have opportunities to:
- Design, build, and scale reliable systems that power merchant experiences.
- Work across the full development lifecycle – from business logic and testing to cloud infrastructure and data streaming.
- Collaborate on architecture and technology choices that keep our systems simple, scalable, and efficient.
- Grow your skills and knowledge by working alongside experienced teammates in an environment that values learning and experimentation.
How We Work
- Autonomy & Ownership – Our engineers have end-to-end responsibility for their services, from implementation to production.
- Collaboration – Architecture and working methods are defined together, ensuring we make the best choices for long-term success.
- Scalability & Simplicity – We value pragmatic solutions that keep our systems robust without unnecessary complexity. We use technologies that serve Wolt, our teams, and our engineers best. You’ll have the freedom to experiment and adopt the tools that work.
Find out more by checking out our Kotlin-related Tech Talks below:
Our Tech Stack
Our core technologies include Kotlin (Ktor, Koin, Spring, gRPC), PostgreSQL, MongoDB, Kafka, Redis, GitHub Actions, AWS, Docker, and Kubernetes.
Why Join Us?
Wolt is a place where you can learn, teach, and grow. If you’re passionate about building great technology and working in an environment that values teamwork and autonomy, we’d love to hear from you!
📍These open roles are based in our tech hubs in Berlin, Helsinki or Stockholm. We work in distributed teams, but might not be able to offer fully remote work or relocation.
Our humble expectations
We’re seeking experienced Software Engineers with a strong background in building scalable microservices. While Kotlin is our primary language, experience with Java, Scala, or other JVM backend languages is great. As we are exploring Go, we're looking for people who are confident in their ability to learn and teach! 🛠️
Beyond technical expertise, we value ownership, collaboration, and a mindset for growth. We think you're a great communicator who thrives in tackling complex challenges, questioning conventions, and working closely with teammates to build reliable, scalable systems. 🚀
Next steps
We are hiring for multiple open positions across different teams in the Merchant Group. During the initial screening call our Talent Acquisition Partner will discuss with you your expectations and possible domain preferences as well as share more about the group. After the recruiter screening call, during the rest of the interviewing steps, you’ll meet hiring managers and software engineers from the Merchant group, a specific team being proposed at the end of the process - that’s the moment when you’ll get to meet your possible Team Lead. Throughout the process, we will do our best to match your experience, skills, and aspirations with the most suitable Engineering team!
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.
Ready to apply?
Apply to Wolt - English
Senior Machine Learning Engineer, Recommendations (Product)
You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience. This means working across BigQuery (trillion-row datasets), Airflow orchestration, real-time serving infrastructure (BigTable), APIs, and constant collaboration with Product, Design, Engineering, and Platform teams.
Key Responsibilities:
- Develop, test, and productionize ML and LLM-based systems serving real users
- Design and build end-to-end ML pipelines, including data, features, training, and serving
- Make technical decisions considering cost, latency, complexity, and maintainability
- Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to build reliable, scalable solutions
- Set up monitoring, A/B testing, and metrics frameworks to measure real user impact
- Debug complex issues across data pipelines, ML models, and distributed systems
- Contribute to technical strategy and team best practices
- Leverage agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods
Experience and Background:
- 1-2+ years building ML systems in production - you understand the difference between a model that works in Jupyter and one that serves millions of users
- 4+ years of software engineering experience - you write production code, not just notebooks
- Strong Python and Scala (or Java/JVM) skills, with experience writing scalable, production code
- Experience building and deploying ML models end-to-end (data, training, serving, monitoring)
- Experience building and deploying LLM-based features in production
- Familiarity with integrating LLMs into ML systems (e.g. retrieval-augmented generation, model serving)
- Understanding of shared ML architecture across domains (e.g. search and recommendations)
- Strong focus on data quality and correctness, and how upstream data impacts downstream models and user experience
- Strong SQL skills for massive datasets (BigQuery, Spark)
- Cloud platform experience (AWS/GCP) and containerization (Docker, Kubernetes)
- Experience with distributed data processing and ETL pipelines (Airflow, Spark)
- Familiarity with ML frameworks such as TensorFlow or PyTorch
The salary range for this role is $165,000 - $195,000 annually. The final salary offered will be determined based on relative experience, skills, internal equity, and location. We also offer a generous total rewards program - read more about additional benefits and perks below!
About us:
- We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
- We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
- We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard
- We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities
Benefits:
- Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
- Robust 401k program
- Employee Equity Plan
- Generous professional development allowance
- Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
- Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
- 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
- Various snacks, goodies, and 2 free lunches weekly when at the office
Diversity, Equity and Inclusion at SoundCloud
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.
At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.
Ready to apply?
Apply to SoundCloud
Senior Full Stack Engineer, Insights
- Own the end-to-end technical roadmap for the A&R and Fan Insights platforms. You will design scalable, secure systems capable of handling massive datasets with high performance.
- Act as the technical lead for a small, expert squad. You will lead by example through architectural clarity, rigorous peer reviews, and a focus on maintaining high execution momentum.
- Work as a peer to Product Managers and Designers to define requirements. You’ll turn vague business "wants" into concrete technical "hows," ensuring the team builds the right things in the most efficient way.
- Ensure high technical standards across both Frontend and Data disciplines. While the team is highly capable, you are responsible for the overall technical health, consistency, and long-term sustainability of the codebase.
- We operate with an AI-agentic mindset. You will champion "AI-native" development – leveraging modern agentic tools (like Cursor or Claude Code) to multiply the team's impact and identifying high-value opportunities to deploy agentic capabilities directly to our users.
- Own the infrastructure and health of your domain. You’ll manage deployment patterns, infrastructure as code (Terraform), and ensure we adhere to modern security standards.
- Leverage agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods.
- You have a track record of architecting and scaling robust backend systems and high-performance services. You are a generalist who can navigate complex application logic or resolve infrastructure bottlenecks with equal ease.
- The Stack:
- Backend: Proficiency in Scala or Golang for building reliable services and a strong understanding of handling storage and querying of BigData (e.g., BigQuery, SQL).
- Frontend: Comfort with Next.js and React—enough to drive architectural decisions and ensure best practices.
- Infrastructure: Experience with Infrastructure as Code (Terraform) and container orchestration.
- Soft Skills & Leadership: You behave as a leader naturally. You can explain complex technical trade-offs to non-technical stakeholders and have the ambition to grow into a formal management role.
- You use modern agentic tools daily to accelerate your own work and are excited about the future of agentic software.
- Bonus Points
- Experience with AWS ECS.
- Experience with Python and data orchestration via Airflow.
- Experience with Google Cloud Platform (GCP).
- Experience with large-scale data warehouses like BigQuery.
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We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
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We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
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We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard.
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We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities
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Not located in Berlin? No worries, we offer extensive relocation support including allowances, one way flights, temporary accommodation and, by partnering with Expath, on the ground support on arrival
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Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
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Employee Equity Plan
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Generous professional development allowance
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Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
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Various snacks, goodies, and 2 free lunches weekly when at the office
Ready to apply?
Apply to SoundCloud
Senior Machine Learning Engineer, Recommendations (Product)
We are looking for a Senior Machine Learning Engineer to join our Recommendations Experience team, focusing on building ML-powered features that directly improve personalization, engagement, and satisfaction for our users. While this is an MLE role, you’ll bring strong engineering fundamentals and work across the full stack and end-to-end systems, from data pipelines to APIs to real-time serving, and everything in between. The Recommendations team ships ML-powered features that connect 200M+ users with music they'll love.
You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience. This means working across BigQuery (trillion-row datasets), Airflow orchestration, real-time serving infrastructure (BigTable), APIs, and constant collaboration with Product, Design, Engineering, and Platform teams.
Key Responsibilities:
- Develop, test, and productionize ML and LLM-based systems serving real users
- Design and build end-to-end ML pipelines, including data, features, training, and serving
- Make technical decisions considering cost, latency, complexity, and maintainability
- Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to build reliable, scalable solutions
- Set up monitoring, A/B testing, and metrics frameworks to measure real user impact
- Debug complex issues across data pipelines, ML models, and distributed systems
- Contribute to technical strategy and team best practices
- Leverage agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods
Experience and Background:
- 1-2+ years building ML systems in production - you understand the difference between a model that works in Jupyter and one that serves millions of users
- 4+ years of software engineering experience - you write production code, not just notebooks
- Strong Python and Scala (or Java/JVM) skills, with experience writing scalable, production code
- Experience building and deploying ML models end-to-end (data, training, serving, monitoring)
- Experience building and deploying LLM-based features in production
- Familiarity with integrating LLMs into ML systems (e.g. retrieval-augmented generation, model serving)
- Understanding of shared ML architecture across domains (e.g. search and recommendations)
- Strong focus on data quality and correctness, and how upstream data impacts downstream models and user experience
- Strong SQL skills for massive datasets (BigQuery, Spark)
- Cloud platform experience (AWS/GCP) and containerization (Docker, Kubernetes)
- Experience with distributed data processing and ETL pipelines (Airflow, Spark)
- Familiarity with ML frameworks such as TensorFlow or PyTorch
About us:
- We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
- We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
- We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard.
- We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities
Benefits:
- Not located in Berlin? No worries, we offer extensive relocation support including allowances, one way flights, temporary accommodation and, by partnering with Expath, on the ground support on arrival
- Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
- Employee Equity Plan
- Generous professional development allowance
- Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
- We offer free German courses at beginning, intermediate and advanced
- Various snacks, goodies, and 2 free lunches weekly when at the office
Diversity, Equity and Inclusion at SoundCloud
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.
At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.
Ready to apply?
Apply to SoundCloud
Associate Software Engineer
Change the way the world travels
Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours.
Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.
Team mission
At GetYourGuide, engineers work on problems that matter: building the systems that connect millions of travelers with experiences they'll remember for a lifetime. Our teams learn fast, take ownership, iterate, and build at real scale. AI is already reshaping how we build products and what travel can be. For the right engineer, this is an opportunity to do the most exciting work of their early career.
Your mission
- With support and mentorship, you’ll write clean code that ships to millions of travelers
- Work closely with senior and staff engineers to design and build reliable, scalable systems, bringing your own ideas to the table, not just executing tasks
- Take end-to-end ownership of features: from understanding the problem and designing the solution, to shipping, monitoring, and iterating
- Use AI tooling actively and intelligently as part of your daily workflow
- Help build AI-powered product experiences that change how travelers discover, book, and enjoy the world
- Participate in code reviews, improve our codebase, and help raise the quality bar across your team
- Engage with product and design partners to deeply understand the traveler problem you're solving, not just the ticket in front of you
Your toolkit
You're a fresh graduate, looking for your first full-time job and you've already shipped things like: side projects, open source contributions, coursework, internships, freelance work, or hackathon builds. You know what it feels like to take something from an idea to a working product. You're genuinely excited about what AI makes possible.
We know everyone's journey is different. Excited about the role and tick some of these boxes? We'd love to hear from you:
- Ownership-driven: You treat your work as your own. You don't wait to be told something is broken or could be better; you help to improve it, communicating early, asking for feedback, and collaborating with others to create a better state.
- Deeply curious: You dig into problems until you actually understand them. You learn fast and apply what you learn even faster
- Bias for action: You ship, gather feedback, and iterate.
- Collaborative by nature: You know when to push ahead independently and when to pull in others. You ask questions early. You support your teammates through thoughtful feedback and clear communication
- You have hands-on experience with AI tools. You've built real things - projects using Claude or OpenAI APIs, apps built with tools like Lovable, or experiments that turned into something tangible
- Solid foundation in computer science fundamentals: data structures, algorithms, basic system and API design concepts
- Familiar with building and shipping software, professionally or through your own projects
- Comfortable working across the stack either in backend or frontend systems
Extras that give you an edge
- An interest in contributing across the full stack (backend and frontend), with a willingness to learn our core technologies. This includes JVM languages (Kotlin, Java, Scala) for the backend and frontend essentials like React.js, Next.js, TypeScript, and CSS/styling frameworks.
- Familiarity with cloud infrastructure concepts and distributed systems concepts like Kubernetes, AWS/GCP, microservices and event-driven architecture
- Open source contributions or a visible portfolio: a GitHub profile, a live project, something we can look at
How we’ll make your career journey extraordinary
- Annual personal growth budget and mentorship programs for continuous learning and development
- Work from anywhere in the world for 30 days per year
- A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
- Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
- Monthly transportation and fitness budget
- Discounts for you, your friends, and family on GetYourGuide activities
- Language reimbursement program
- Health and wellness benefits
And more…
How to apply
Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.
We’re an equal opportunities employer
Our commitment is that every qualified person will be evaluated according to their skills, regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.
#LI-Hybrid
Ready to apply?
Apply to GetYourGuide
Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona.
Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.
The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.
In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.
Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun doing it. Are you ready for your next ride?
YOUR DAILY ADVENTURES WILL INCLUDE:
- Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
- Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
- Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
- Enhancing our MLOps platform capabilities to support AI state of the art
- Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
- Contributing to the evolution of our MLOps stack and practices.
Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more
TO BE SUCCESSFUL IN THIS ROLE:
- M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
- 3+ years of professional experience deploying, scaling and monitoring ML models in production environment
- Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
- Proven experience with large-scale data processing systems and modern data warehousing
- Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
- Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
- Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
- Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
- Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.
BENEFITS & PERKS IN A NUTSHELL:
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Plus more local benefits depending on your work location! |
DIVERSITY, EQUITY & INCLUSION:
Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work.
ABOUT US:
Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app.
In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?
Ready to apply?
Apply to FREENOWLocation: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona.
Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.
The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.
In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.
Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun doing it. Are you ready for your next ride?
YOUR DAILY ADVENTURES WILL INCLUDE:
- Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
- Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
- Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
- Enhancing our MLOps platform capabilities to support AI state of the art
- Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
- Contributing to the evolution of our MLOps stack and practices.
Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more
TO BE SUCCESSFUL IN THIS ROLE:
- M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
- 3+ years of professional experience deploying, scaling and monitoring ML models in production environment
- Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
- Proven experience with large-scale data processing systems and modern data warehousing
- Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
- Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
- Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
- Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
- Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.
BENEFITS & PERKS IN A NUTSHELL:
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Plus more local benefits depending on your work location! |
DIVERSITY, EQUITY & INCLUSION:
Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work.
ABOUT US:
Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app.
In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?
Ready to apply?
Apply to FREENOW
Senior Software Engineer - Backend
P-1327
At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.
As a software engineer, you will join as a founding member of not only the Berlin site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values.
The impact you'll have:
Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:
- Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
- Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.
- Develop product features that empower our customers to easily store and access their data.
What we look for:
- BS (or higher) in Computer Science, or a related field
- 5+ years of production level experience in one of: Java, Scala, C++, or similar language.
- Experience developing large-scale distributed systems.
- Experience working on a SaaS platform or with Service-Oriented Architectures.
- Knowledge of SQL.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Staff Software Engineer - Backend
P-1328
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.
The impact you'll have:
Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:
- Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
- Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
- Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.
What we look for:
- BS (or higher) in Computer Science, or a related field
- 7+ years of production level experience in one of: Java, Scala, C++, or similar language.
- Experience developing large-scale distributed systems.
- Experience working on a SaaS platform or with Service-Oriented Architectures.
- Good knowledge of SQL.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Scala Software Engineer (all genders) - Payment
Join us as a Scala Software Engineer (all genders) in our Payment team on a shared journey that matters!
The Payment team is dedicated to delivering a convenient and secure payment experience for our passengers. You will join a cross-functional team that shares an unwavering passion for creating impactful software solutions that not only cater to our current users but also allow for significant scalability. To achieve our ambitious goals, they design and maintain backend micro-services and mobile app components, always emphasizing a future-proof and resilient architecture.
What you will do
- Provide an outstanding customer experience: Together with the developers of your team, you will contribute to a one-of-a-kind app which provides a smooth and friction-free payment experience to our customers.
- Assure Quality: Ensure the systems owned by your team meet the highest quality standards, including code reviews, testing, and validation processes across team boundaries.
- Breathing “agile”: You will follow core agile working methodologies in the team.
What will help you to fulfill your role
- You have experience with developing software in Scala and functional programming. Bonus if you have experience with ZIO and/or cats-effects.
- You enjoy solving challenges in distributed systems.
- You have experience or interest in Kubernetes and AWS.
- You are keen to receive and give feedback in pairing and code review sessions.
- You follow DevOps best practices and believe in automated testing, infrastructure as code, continuous deployment, and monitoring.
- You have a strong sense of ownership and are eager to contribute right from the beginning of a new project.
- You have a customer-driven mindset.
- You can communicate fluently in English.
We accept all seniority levels. So please don't feel discouraged if you don't meet all the enlisted skills. We embrace individual growth at MOIA.
In case you have questions regarding your application, you can approach the recruiter Jovana directly.
Our benefits in a nutshell
- Competitive salary (including bonus)
- Hybrid work setup: Work from home or one of our offices - you and your team decide how often to meet, blending flexibility with collaboration!
- Flexible working hours and the possibility of flexible work arrangements depending on your needs (parenting, care work, volunteering, etc.)
- Budget and monthly expense allowance for home office setup
- Possibility of remote work from outside Germany for up to 6 weeks per year from over 35 countries - learn more in our blog!
- Public transport ticket (fully subsidized "Deutschlandticket") for commuting and travelling throughout Germany and discount on MOIA rides
- Subsidized fitness club membership or bike leasing
- Learning environment with continuous learning days, job rotation, trainings and workshops, coaching, conferences, books, and language classes
- Mental health support, 1:1 sessions with external professionals and mental unload workshops
- 30 vacation days, sabbatical and unpaid leave option
- Relocation support with service provider (visa, administration, etc.)
- Dog-friendly offices
For student & internship positions, we have an adjusted set of benefits. You can find them here.
Be who you are!
We are a member of Charta der Vielfalt and are dedicated to actively fostering a workplace that celebrates and promotes diversity in various aspects such as age, gender identity, race, sexual orientation, physical or cognitive ability, and ethnicity. At MOIA, we embrace a culture where people are accepted, respected, valued, appreciated, and included.
In our commitment to promoting diversity and inclusivity, we regularly provide unconscious bias training to all our employees. Furthermore, we continuously strive to enhance our hiring process by ensuring a diverse hiring panel.
How we work
At MOIA, our teams are typically distributed across locations and collaborate in a hybrid setup. We work together both remotely and on site, choosing the mode of collaboration that fits the context, the work at hand, and each team’s rhythm.
Spending time together in our offices is an important part of how we stay connected, build trust, and solve complex problems. At the same time, we value flexibility and give teams and individuals autonomy to shape their ways of working, with everyone having the freedom to organise their routines in a way that aligns with their work and their team’s needs.
If you’d like to learn more about how we work, visit our blog for insights into our culture and hiring process, or follow us on Instagram for a look behind the scenes at MOIA.
Who we are
At MOIA we’re reimagining the future of mobility – safe, autonomous and tailored to the needs of cities and their people. As a tech company with more than 400 employees, we build mobility solutions that truly move cities forward.
We launched our ridepooling service in Hamburg in 2019 and have been part of the city’s public transport system since 2023. Since launch, we have transported over 12 million passengers. Currently, MOIA is evolving from a mobility provider to a tech provider offering a scalable and safe turnkey solution for autonomous driving.
With office locations in Berlin and Hamburg, our diverse and international team comprising more than 60 nationalities works together toward that shared mission.
MOIA is more than a technology provider – we are a partner to cities and public transport operators committed to creating more livable spaces and delivering mobility solutions that are reliable, safe and comfortable.
Your application to MOIA
We value authenticity and personal insights in your application responses. While AI tools can be useful, we encourage you to answer the following questions based on your own experiences and understanding. This helps us keep a human touch and better evaluate your unique perspective and match for the role.
To reinforce an unbiased screening process, we kindly ask you not to include your picture, age, address, or any other details unrelated to your qualifications and suitability for the role. Additionally, we anonymize applications during the initial review phase by removing personally identifiable information. This ensures that our evaluation focuses solely on your skills, experience, and potential – supporting a fair and inclusive hiring experience for all candidates.
Ready to apply?
Apply to MOIA GmbH
QA Engineer (IntelliJ)
At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers and businesses to grow, discover, and create.
IntelliJ IDEA revolutionized the Java development tool market back in 2001, becoming the first IDE to offer automated code refactoring. It continues to drive innovation in software development, making thousands of programmers more productive every day. In addition to Java, IntelliJ IDEA includes various development tools for other prominent languages such as Ruby, Groovy, Scala, Python, JavaScript, Objective-C, PHP, and Kotlin.
We’re currently seeking a full-stack QA Engineer to join a new, challenging project within the IntelliJ IDEA team – the IntelliJ LSP initiative. This role requires adaptability, multitasking, and a hands-on approach to maintain a high quality while supporting rapid product iteration.
As part of our team, you will:
- Manage project quality: monitor progress, identify risks, and ensure results meet quality standards.
- Collaborate with development and product teams on development tasks.
- Test new and existing functionality.
- Search for and localize bugs.
- Create test documentation.
- Define our testing strategy.
- Create and maintain automated tests.
- Set up test infrastructure.
- Accept product releases.
We will be happy to have you on our team if you:
- Have experience with at least one OOP programming language, preferably Java or Kotlin.
- Have practical experience with at least one build system (such as Gradle or Maven).
- Have experience in writing automated tests.
- Are familiar with some CI/CD tools.
- Have experience in exploratory testing.
- Have sufficient project management skills.
- Work independently, learn quickly, take initiative, and manage tasks well.
- Have excellent communication skills.
- Are proficient in spoken and written English.
We'd be especially thrilled if you:
- Have experience working with VSCode.
- Are familiar with IntelliJ IDEA.
- Have experience building automated testing infrastructure and processes.
Why join JetBrains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family.
- Learning and development opportunities. Access to conferences, courses, and language classes.
- Relocation support. We help make your move as smooth and stress-free as possible.
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains