Python Jobs in Berlin.
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Senior Software Engineer (python, networking)
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About Us:
At Sauce Labs, we empower the world's top enterprises - like Walmart, Bank of America, and Indeed - to deliver quality web and mobile applications at speed. Our industry-leading platform ensures continuous quality across the SDLC, using AI-powered analytics to identify key quality signals from development through production. With our unified solution, teams can release and innovate with confidence, knowing their apps will always look, function, and perform exactly as they should. Backed by TPG and Riverwood Capital, we are shaping the future of digital confidence - join us!
The Role:
Sauce Labs is looking for a passionate Senior Backend Engineer to join the Sauce Connect team. This agile development team plays a critical role in enabling enterprise customers to maximize their use of Sauce Labs by providing a fast, secure connection between their internal development networks and our cloud-based virtual testing environments. You will work closely with the Product Owner, Engineering Manager, and other talented Sauce Connect engineers to achieve excellent results and shape the future of Sauce Connect
Responsibilities:
- Lead the technical direction and architectural design of Sauce Connect, collaborating with a cross-functional team to deliver a fast, secure, and scalable tunneling solution.
- Design, develop, and own projects across the full stack, from the backend server infrastructure to the client-side application on Linux, Windows, and macOS.
- Act as a technical expert for complex, escalated customer issues, performing root cause analysis and implementing robust solutions to prevent future problems.
- Drive continuous improvements in the scale, performance, and quality of our Trusted Connection Technologies, mentoring other engineers on best practices and system health.
- Proactively identify and evaluate emerging technologies in the open-source community, presenting well-researched proposals for adoption to drive innovation and technical excellence.
- Make and defend architectural decisions based on your extensive experience, balancing trade-offs between technical debt, velocity, and long-term maintainability.
Required Skills:
- 5+ years of professional software development experience in Python or Golang, with a proven track record of designing, building, and operating complex distributed systems and high-availability online services at scale.
- Experience in working with CI/CD tools (designing and implementing robust, automated pipelines using tools like GitHub Actions, GitLab CI, or Jenkins)
- Advanced experience with tunneling, proxy, or VPN-related solutions, with a understanding of their security implications and performance characteristics.
- Deep knowledge of TCP/IP networking, HTTP2, SSL/TLS, and WebSockets. You should be able to debug network issues at the packet level.
- Hands-on experience deploying and managing containerized applications at scale using Kubernetes.
- Demonstrable product development experience, including the ability to influence product strategy and make technical trade-offs to deliver customer-facing value.
- Exceptional ownership mentality and a passion for crafting elegant, well-architected products that deliver stellar user experiences.
Nice to Haves:
- Experience with asynchronous programming
- Experience building and consuming microservices
- Knowledge and understanding of data structures, algorithms, distributed systems, and design patterns.
- Familiarity with modern monitoring systems (e.g., Prometheus or OpenTelemetry)
- Understanding of common security practices involved in protecting customer data
We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office. Those hired remotely must be able and willing to travel to an office as required by the specific role.
Please note our privacy terms when applying for a job at Sauce Labs.
Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.
Security responsibilities at Sauce
At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.
The compensation range provided below represents the base salary only for a Full-time Employment contract (umowa o pracę) and excludes fringe benefits, potential bonuses, or stock-based compensation (equity). Your individual offer will be determined based on factors such as skills, education, professional experience, and internal equity (alignment with similarly situated team members at Sauce Labs).
Benefits and Perks that we offer include but are not limited to: wellness benefit, commuter benefit, WFH stipend, professional development budget, pension Program (PPK). There is no collective agreement in force at the workplace. To see more about benefits and perks at Sauce Labs, please check out our careers page at saucelabs.com/company/careers.
Ready to apply?
Apply to Sauce Labs Inc.Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
Technical Account Managers work cross-functionally to support Stripe’s largest and most complex users. Through trusted relationships we offer customized, strategic consultations and proactively identify opportunity areas to help businesses deliver more value to their customers, optimize technical operations on their teams, and accelerate their global growth with Stripe.
What you’ll do
Responsibilities
- Provide a Gold Standard Experience to your assigned accounts’ key stakeholders
- Work with the wider Operations team to provide current state, resources and knowledge to enable Gold Standard Experience across teams interacting directly with the user via support channels, external documentation, or product/feature feedback or development
- Foster long term user relationships that grow loyalty to Stripe and Stripe products
- Work cross-functionally both internally and within your user’s organizations to provide and implement operational solutions on subjects not limited to fraud/disputes, declines, product adoption and global expansion
- Work closely with Customer Success and other user facing teams as part of a larger effort to support users on Stripe
- Lead user facing meetings both in person and through video chat
- Collaborate on the continued design of this support offering
- Create user-facing content for long term solutions
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- Minimum 3 years experience in enterprise level client-facing work
- Strong product sense and energized by the challenge of solving difficult user related problems
- Strong written and verbal communication skills in English and German to support regional based customers
- Ability to lead complex integration conversations in a highly consultative and proactive manner
- Familiarity with APIs and able to explain API concepts to Stripe’s largest and most technical customers
- Familiarity with SQL and is comfortable building basic queries and modifying more complex ones
- Strong technical troubleshooting skills and is comfortable interfacing with technical teams
- A professional, confident and collaborative personality; an adept client relationship manager, capable of engaging in business-level and technical conversations at multiple levels of the organization
Preferred qualifications
- Operations savvy mindset, with an ability to identify and eliminate process friction while continuing to build scalable processes
- Experience practicing in small to medium scale project management
- Strong organizational skills and self-starting mindset
- Ideal experience with tools like Postman, xCode, Python, Webhooks, ETL
- Ideal experience in the payments industry
- Good to have Polish or Ukrainian language expertise (Native or Intermediate)
Ready to apply?
Apply to Stripe
Senior Service Reliability Engineer
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Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Senior Service Reliability Engineer
As a part of Sony Interactive Entertainment, the Gaming, Developer & Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond.
Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.
We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring operational readiness and stability.
What you'll be doing:
- Taking a leadership role in ongoing improvements in Reliability and Scalability
- Work closely with SRE Management to define KPIs, processes and drive continuous improvement
- Influence the architecture and implementation of solutions within the division
- Mentor more junior SRE staff and enable them for success
- Act as a voice to represent SRE in the wider organisation
- Represent the operational scalability of solutions in the wider division
- Lead small-scale projects from inception to implementation
- Design platform-wide solutions and provide technical leadership during their implementation
- Demonstrate a high-level of organizational skills and initiative in the role
What we're looking for:
- Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role.
- Strong interpersonal, written and verbal communication skills.
- Available to be scheduled in on-call rotation.
Skills & Knowledge:
- Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.
- Development experience in one or more of the following programming languages:
- Python (preferred)
- Bash, Go, Java, C++, or Rust
- In addition, experience with at least 3 of the following topics:
- Distributed data storage at scale (Hadoop, Ceph)
- NoSQL at scale (MongoDB, Redis, Cassandra)
- Data aggregation technologies. (ElasticSearch, Kafka)
- Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability
- Monitoring & alerting (Prometheus, Grafana), and Incident Management toolsets
- Kubernetes and/or AWS (deployment and management)
- Software distribution (Package management and distribution at scale)
- Configuration management (ansible, saltstack, puppet, chef)
- Software performance analysis and load testing (QA or SDET experience: a plus)
What you'll be doing:
- Taking a leadership role in ongoing improvements in Reliability and Scalability
- Work closely with SRE Management to define KPIs, processes and drive continuous improvement
- Influence the architecture and implementation of solutions within the division
- Mentor more junior SRE staff and enable them for success
- Act as a voice to represent SRE in the wider organisation
- Represent the operational scalability of solutions in the wider division
- Lead small-scale projects from inception to implementation
- Design platform-wide solutions and provide technical leadership during their implementation
- Demonstrate a high-level of organizational skills and initiative in the role
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Ready to apply?
Apply to PlayStation Global
Site Reliability Engineer
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Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Site Reliability Engineer
As a part of Sony Computer Entertainment, the Gaming, Developer & Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond.
Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.
We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability.
What you'll be doing:
- Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability
- Be involved in creating High Level Designs (HLDs) for new products and platforms
- Mentor junior SRE staff and enable them for success
- Lead incident response and post-mortem activities within your assigned service team
- Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil
- Contribute to code to improve reliability
- Implement automation to reduce ongoing toil
What we're looking for:
- Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role.
- Strong interpersonal, written and verbal communication skills.
- Available to be scheduled in on-call rotation.
Skills & Knowledge:
- Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.
- Development experience in one or more of the following programming languages:
- Python (preferred)
- Bash, Go, Java, C++, or Rust
- In addition, experience with at least 3 of the following topics:
- Distributed data storage at scale (Hadoop, Ceph)
- NoSQL at scale (MongoDB, Redis, Cassandra)
- Data Aggregation technologies. (ElasticSearch, Kafka)
- Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability
- Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets
- Kubernetes and/or AWS (deployment and management)
- Software Distribution (Package management and distribution at scale)
- Configuration Management (ansible, saltstack, puppet, chef)
- S/W Performance analysis and load testing (QA or SDET experience: a plus)
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Ready to apply?
Apply to PlayStation Global
Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.
Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns.
Team
The Accounting and Payments team, part of the Corporate Services tribe within Raisin's Products & Engineering, develop and maintain account reconciliation and payment processing through customization of the Oracle NetSuite ERP tool (via javascript) as well as building Java and Python microservices and AWS Lambda functions.
The team's tech stack includes JavaScript (Node.js, SuiteScript), Java and Python. Their customizations and process automations play a vital role in supporting Raisin's ecosystem.
Your Responsibilities
- Collaborate with our Software Engineering team to develop, test, and maintain software solutions.
- Assist in writing clean, efficient, and maintainable code in (Java, Javascript and Python).
- Support the team in debugging and troubleshooting software issues.
- Participate in code reviews, share feedback, and learn best practices from experienced developers.
- Contribute to the design and implementation of new features and functionalities.
- Help maintain technical documentation and ensure code quality through testing and automation.
- Engage in team meetings, brainstorming sessions, and agile development processes.
Your Profile
- You are currently enrolled in a Bachelor's or Master's program in Computer Science, Software Engineering, or a related field.
- +2 years of experience in Java/Kotlin.
- Knowing JS/TS (backend frameworks) and Python is a big plus.
- Familiarity with software development concepts like version control (Git), databases (SQL/NoSQL), and web technologies (REST APIs).
- Interest in learning about cloud platforms like AWS.
- Analytical mindset with problem-solving abilities and attention to detail.
- Good communication skills in English.
- Proactive, curious, and motivated to learn new technologies in a collaborative environment.
Join our mission, join our team – and grow with us!
At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.
As part of our team, you will benefit from
- Employee Development Budget of €400 and one full training day per year.
- Flexible working hours, home office and 20 vacation days per year.
- Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
- Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month.
- Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
Raisin Applicant Privacy Policy
We value diversity and the unique experiences each individual brings. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply.
We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Ready to apply?
Apply to Raisin
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.
MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
We are looking to speak to candidates who are based in Munich for our hybrid working model.
As an ideal candidate, you will have:
- 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
- Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience implementing scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have:
- Experience developing, deploying, or supporting applications with any of the major cloud providers
- Experience working in a technical pre-sales capacity
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
What you do at MongoDB:
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
What you will learn:
MongoDB Product Suite Mastery:
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space
Sales Techniques and Soft Skills:
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273390805
Ready to apply?
Apply to MongoDB
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.
MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
We are looking to speak to candidates who are based in Frankfurt for our hybrid working model.
As an ideal candidate, you will have:
- 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
- Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience implementing scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have:
- Experience developing, deploying, or supporting applications with any of the major cloud providers
- Experience working in a technical pre-sales capacity
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
What you do at MongoDB:
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
What you will learn:
MongoDB Product Suite Mastery:
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space
Sales Techniques and Soft Skills:
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273390805
Ready to apply?
Apply to MongoDB
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.
MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
We are looking to speak to candidates who are based in Stuttgard for our hybrid working model.
As an ideal candidate, you will have:
- 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
- Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience implementing scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have:
- Experience developing, deploying, or supporting applications with any of the major cloud providers
- Experience working in a technical pre-sales capacity
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
What you do at MongoDB:
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
What you will learn:
MongoDB Product Suite Mastery:
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space
Sales Techniques and Soft Skills:
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273390805
Ready to apply?
Apply to MongoDB
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.
MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
We are looking to speak to candidates who are based in Düsseldorf for our hybrid working model.
As an ideal candidate, you will have:
- 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
- Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience implementing scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have:
- Experience developing, deploying, or supporting applications with any of the major cloud providers
- Experience working in a technical pre-sales capacity
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
What you do at MongoDB:
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
What you will learn:
MongoDB Product Suite Mastery:
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space
Sales Techniques and Soft Skills:
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273390805
Ready to apply?
Apply to MongoDB
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.
MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
We are looking to speak to candidates who are based in Berlin for our hybrid working model.
As an ideal candidate, you will have:
- 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
- Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience implementing scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have:
- Experience developing, deploying, or supporting applications with any of the major cloud providers
- Experience working in a technical pre-sales capacity
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
What you do at MongoDB:
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
What you will learn:
MongoDB Product Suite Mastery:
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space
Sales Techniques and Soft Skills:
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273390805
Ready to apply?
Apply to MongoDB
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.
MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.
We are looking to speak to candidates who are based in Hamburg for our hybrid working model.
As an ideal candidate, you will have:
- 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
- Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience implementing scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have:
- Experience developing, deploying, or supporting applications with any of the major cloud providers
- Experience working in a technical pre-sales capacity
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
What you do at MongoDB:
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
What you will learn:
MongoDB Product Suite Mastery:
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies:
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design:
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space
Sales Techniques and Soft Skills:
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights:
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273390805
Ready to apply?
Apply to MongoDB
Senior ML Engineer (Token Factory)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.
Some directions we are currently working on, and which you can be a part of:
- Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
- Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
- Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.
We expect you to have:
- A profound understanding of theoretical foundations of machine learning and transformer architecture.
- Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
- Understanding of GPU memory hierarchy and compute/memory tradeoffs
- Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
- Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
- Strong software engineering skills (we mostly use Python)
- Deep experience with modern deep learning frameworks
- Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
- Strong communication and leadership abilities
Nice to have:
- Experience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions
- Experience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA
- A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
- Strong engineering skills, including experience in developing large distributed systems or high-load web services.
- Open-source projects that showcase your engineering prowess
- Excellent command of the English language, alongside superior writing, articulation, and communication skills.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are looking for a Senior Network Engineer to join our team to ensure smooth and stable operation of data center infrastructure, points of presence, and our own backbone network. The engineer will also design and develop data center networks with thousands of server ports, InfiniBand-based GPU cluster interconnect networks, and automation and management tools for such networks.
You’re welcome to work in our office in Amsterdam.
Your responsibilities will include:
- Provide technical design, operations, duties and assistance to related cross-functional teams, including the internal R&D team, HWaaS, and all-around cloud overlay & underlay network environments.
- Develop monitoring and automation tools.
- Contribute to the launch of new regions within our cloud and GPU platforms.
We expect you to have:
- Expert-level (jncie/ccie) expertise in MPLS, routing and switching Service Provider and DataCenter networks, Ethernet switching/vxlan, routing (BGP/isis), SR mpls+v6, traffic balancing/ECMP, l3 mpls VPN, and cloud overlay network technologies.
- Experience in developing and documenting a network design.
- Experience in developing plans for testing network infrastructure and vendors.
- Experience diagnosing problems with the TCP/IPv4/v6 protocol stack in a CLOS topology data center network.
- Knowledge of the design and internal architecture of modern network equipment, QoS mechanisms, and operations.
- Experience working with Juniper, Arista, Huawei, and Mellanox switches and routers.
- Working proficiency in English.
It would be an added bonus if you had:
- Working proficiency in any other European language
- Working knowledge of public clouds and GPU+infiniband networking
- Knowledge of software-defined networking overlays for the cloud environment
- Knowledge of Python, Go, or other popular programming languages in the Linux environment.
- Experience using these programming languages for task automation.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior Site Reliability Engineer (SRE)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
Your responsibilities will include:
- Ensure fault-tolerance, scale, and uninterrupted operations for the service.
- Use cutting-edge cloud technology to solve a variety of infrastructure problems.
- Implement and improve CI/CD processes.
We expect you to have:
- Solid experience with programming languages (like Go, Python, or C++);
- Solid understanding of classic algorithms and data structures;
- Commercial experience with and deep understanding of Unix systems and network technology;
- Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).
It will be an added bonus if you have:
- Desire to be involved in backend development;
- Experience designing, developing, and running high-load distributed systems;
- Commercial experience with a variety of cloud platforms.
We conduct coding interviews as part of the process.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior Site Reliability Engineer (SRE)
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
Your responsibilities will include:
- Ensure fault-tolerance, scale, and uninterrupted operations for the service.
- Use cutting-edge cloud technology to solve a variety of infrastructure problems.
- Implement and improve CI/CD processes.
We expect you to have:
- Solid experience with programming languages (like Go, Python, or C++);
- Solid understanding of classic algorithms and data structures;
- Commercial experience with and deep understanding of Unix systems and network technology;
- Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).
It will be an added bonus if you have:
- Desire to be involved in backend development;
- Experience designing, developing, and running high-load distributed systems;
- Commercial experience with a variety of cloud platforms.
We conduct coding interviews as part of the process.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior Site Reliability Engineer (SRE)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
Your responsibilities will include:
- Ensure fault-tolerance, scale, and uninterrupted operations for the service.
- Use cutting-edge cloud technology to solve a variety of infrastructure problems.
- Implement and improve CI/CD processes.
We expect you to have:
- Solid experience with programming languages (like Go, Python, or C++);
- Solid understanding of classic algorithms and data structures;
- Commercial experience with and deep understanding of Unix systems and network technology;
- Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).
It will be an added bonus if you have:
- Desire to be involved in backend development;
- Experience designing, developing, and running high-load distributed systems;
- Commercial experience with a variety of cloud platforms.
We conduct coding interviews as part of the process.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior Site Reliability Engineer — Token Factory (Inference Platform)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.
In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.
Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.
If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
AI Researcher (Early Talent)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
We are opening a 3–6 month Early Career program within our AI R&D team. You will work alongside experienced researchers to solve challenges in LLMs, reinforcement learning, and agentic systems.
We are looking for Early talents to support research in:
- Reinforcement learning for agents and reasoning models
- Building reinforcement learning environments
- Efficient model distillation and evaluation
Your responsibilities will include:
- Assist in designing and running experiments to train LLMs and speculators for them
- Help analyze experimental results and document findings
- Write and maintain code for data mining, processing, and model evaluation
- Collaborate with the team to explore new methods in the selected research direction
- Participate in technical discussions and discuss future steps of research
- Advanced methods for efficient speculative decoding
- Inference optimization techniques
We expect you to have:
- Strong knowledge of computer science and machine learning fundamentals
- Experience with Python and familiarity with deep learning frameworks
- Ability to write clean, efficient code
- Strong problem-solving skills and a willingness to learn quickly
- Good communication skills in English
- Permitted to work in the job’s location
Nice to have:
- Previous experience with NLP/reinforcement learning/AI agents projects
- Familiarity with current LLM concepts
- Enrollment in or completion of a degree in Computer Science, AI, or a related field
- Contributions to open-source projects
What we offer
- Competitive salary and comprehensive benefits package
- Mentorship from experienced AI, ML, and cloud infrastructure professionals
- Hands-on experience with real customer workloads and production systems
- Remote work flexibility and a collaborative, supportive team environment
- Opportunity to be considered for a full-time role after the Early Talent Program
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior Backend Developer (Token Factory)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About the Product
Token Factory is focused on building a next-generation platform that enables companies to seamlessly integrate AI into their products and workflows. Our vision is to create a powerful, open, and scalable alternative for deploying and managing AI systems—making advanced AI infrastructure more accessible to both fast-growing startups and large enterprises.
We work with a wide range of customers, from AI-first companies to established technology organisations, helping them run AI workloads reliably at scale. Our goal is to become a leading platform for high-performance AI inference, delivering predictable latency, strong reliability, and the ability to scale to meet demanding production needs.
Customer feedback plays a central role in how we build—our development process is highly iterative and closely aligned with real-world use cases.
About the Team
We are a fast-growing, distributed team of engineers and product professionals based primarily in Europe. The team brings together strong backend, frontend, product, and business expertise, with a shared focus on building impactful, scalable systems.
While we initially started without deep specialisation in AI/ML, the team has rapidly grown into the space—demonstrating strong ownership, curiosity, and the ability to tackle complex technical challenges.
Technology & Environment
Our work is deeply integrated with a broader cloud and infrastructure ecosystem. We primarily use Go and Python to build and scale backend systems and collaborate closely with teams focused on areas such as infrastructure, observability, billing, and AI research.
The platform continues to evolve from a lightweight integration layer into a more comprehensive system, including custom infrastructure, optimisations, and deeper control over performance and reliability.
What We’re Working On
- Scaling distributed systems: Expanding our platform to handle significantly increased workloads while maintaining performance and reliability
- Improving reliability: Enhancing system stability and uptime to meet enterprise-grade expectations
- Optimising AI performance: Continuously adapting to new models, hardware, and runtime improvements
- Expanding platform capabilities: Building beyond inference into broader AI infrastructure, including data pipelines, customization, and advanced usage features
We expect you to have:
- 5+ years of professional software development experience.
- Strong software engineering skills (we mostly use Python and Go).
- Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
- Experience with developing web services.
- A commitment to maintaining extreme rigor in all job-related activities.
Nice to have:
- Previous experience working with language models or other similar NLP technologies.
- A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
- Strong engineering skills, including experience in developing large distributed systems or high-load web services.
- Open-source projects that showcase your engineering prowess.
Why It’s Interesting
This is an opportunity to work at the intersection of distributed systems, cloud infrastructure, and applied AI, tackling real-world scalability challenges and shaping how companies adopt AI in production environments.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
You’re welcome to work from our office in Prague or in Amsterdam, hybrid or remotely.
In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.
We expect you to have:
- 5+ years of professional software engineering experience
- Excellent knowledge of Golang or you are ready to quickly switch to this programming language
- Ability to write reliable code and dig into complex problems
- Teamwork-oriented approach
It would be an added bonus if you had:
- Experience designing high-load and scaling services
We conduct coding interviews as part of the process.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
You're welcome to work from our offices in Prague, Amsterdam, or Berlin— hybrid or remotely.
In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.
We expect you to have:
- 5+ years of professional software engineering experience
- Excellent knowledge of Golang or you are ready to quickly switch to this programming language
- Ability to write reliable code and dig into complex problems
- Teamwork-oriented approach
It would be an added bonus if you had:
- Experience designing high-load and scaling services
We conduct coding interviews as part of the process.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Senior Software Engineer (AppGlass)
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At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
One of the projects we’re working on within the JetBrains Innovation Hub is the AppGlass, a product for safe, AI-first debugging of production systems. It will help engineering teams investigate issues in real environments with a strong focus on safety, reliability, security, low overhead, and practical AI integration. That means it’s a mix of JVM tooling, program analysis, and AI at the core. Check out our demo and website to get a better sense of how it works.
About the role
We are looking for a Senior Software Engineer with strong enterprise JVM experience. This role is a good fit for someone proactive and excited by complex engineering challenges at the intersection of production systems, developer tools, and AI agents.
In this role, you will:
- Design, build, and lead the development of product features.
- Develop tooling and automation for AI-first engineering workflows.
- Work on enterprise integrations and deployment scenarios across Kubernetes and cloud environments.
- Improve reliability, testing, performance, and security for production use.
We’d like to have you on the team if you:
- Have extensive experience with Java, Kotlin, and JVM systems.
- Have worked on enterprise backend software, infrastructure, or developer tooling.
- Are comfortable with Kubernetes and cloud environments.
- Take ownership, communicate clearly, and move things forward without waiting for perfect specs.
- Enjoy using AI in development, while validating results with solid engineering discipline.
We’ll be especially thrilled if you:
- Have experience with debugging, instrumentation, or observability-related tools.
- Have experience with .NET or Python backend products.
- Care deeply about developer productivity and engineering quality.
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
- 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-REMOTE
#LI-KT1
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
Senior Marketing Data Analyst
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Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
The role
As a Senior Marketing Data Analyst in our Global Marketing Analytics organisation, you will play a pivotal role in driving data-informed decision-making at HelloFresh. Based in our Berlin Headquarters, you’ll join the Market Insights team - an internal analytics function supporting senior leadership across 15+ HelloFresh markets spanning 3 continents.
You will turn data into strategic recommendations, challenge the status quo, and directly shape how our global brands grow and operate.
What You’ll Do
- Act as a trusted advisor to Global Marketing leadership: understand their challenges, frame analytical problem statements, and translate insights into actionable strategic recommendations
- Measure, benchmark, and monitor brand and market performance, proactively identifying opportunities to improve key Marketing and business KPIs
- Influence and optimize Marketing budgets and planning processes by challenging assumptions and ensuring data-driven decision making
- Lead high-impact analytical projects, often partnering directly with senior stakeholders to enhance performance frameworks, forecasting, growth strategies, and reporting ecosystems
- Build and enhance reporting and visualization assets that support day-to-day decision-making and strengthen global performance oversight
- Collaborate with and mentor analysts within the team, fostering a high-performing and supportive analytics community
- Streamline analytical processes and workflows, championing scalable and automated solutions
What You’ll Bring
- A motivated, collaborative mindset with strong team-working skills and a passion for solving complex business problems
- 5+ years of experience in Marketing Analytics, Finance Analytics, or a related quantitative field—ideally in a fast-paced B2C or subscription business
- Strong understanding of Marketing and Growth metrics, and how they connect to overall business performance
- A results-oriented and structured approach, able to turn vague or ambiguous business questions into clear analytical frameworks and insights
- Solid technical skills, including:
- Spreadsheets and SQL (required)
- Tableau or a similar visualisation tool (e.g. Looker, PowerBI)
- Python (a plus)
- Proven project ownership and stakeholder management abilities, especially in senior or cross-functional settings
- Excellent communication skills in English, with the ability to explain analytical concepts to non-technical audiences and influence decision-making
What we offer: The Toppings
- Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
- Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
- Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
- End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
- Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
Are you up for the challenge?
Please submit your complete application below including your salary expectations and earliest starting date.
Ready to apply?
Apply to HelloFresh
Ever imagined saying, “I helped launch the future of transportation”?
We’re rewriting the rules of urban mobility. At Vay, customers tap a button and a car arrives - with no one inside - powered by our world-first Remote Driving technology on real public streets.
We’re live in Las Vegas and scaling fast, powered by a strategic investment of up to $410 million from Grab. Our mission is simple: replace private car ownership with a faster, cleaner, door-to-door mobility model. If you want to build something real, visible, and genuinely transformative, you’ll feel right at home here.
Curious to experience Vay yourself? Use the code VAYCANDIDATE for $10 off your first trip in Las Vegas! Download the "Vay" app from the Apple or Google Play store & off you go!
What’s happening at Vay
- First to roll out vehicles in both Europe and the USA on public roads without a human being inside & currently the 2nd largest commercial, driverless car fleet in the Western World.
- We've partnered with Kodiak to bring remote-driving technology to autonomous trucks in the US, showcasing our ability to integrate our system into heavy-duty commercial vehicles and expand the applications of our tech across the US.
- We’ve completed 10’s of thousands of trips so far and are busy multiplying our Las Vegas fleet just to meet demand!
- ...And soon we’ll be expanding across the US & Europe 🚀
Why this role is exciting
As a Senior Software Engineer, Connectivity at Vay, you’ll help build and optimize the networking backbone that makes remote driving possible. Our Connectivity team owns the low-latency real-time video streaming and data transport systems that connect our vehicles with our telestations across cellular and satellite networks. This is a hands-on engineering role where performance, reliability, and safety matter every day, and where your work will directly shape the quality of the remote driving experience.
You’ll work on a latency-sensitive distributed system, test your solutions on state-of-the-art hardware, and use real production data to investigate incidents, improve performance, and keep pushing our network stack forward.
What you'll be driving
- Develop, optimize, and maintain high-performance network stack used to transport data (video, audio, control, telemetry) between the vehicle and the telestation with a strong emphasis on clarity, maintainability, and efficiency.
- Integrate the Vay network stack into various target hardware and software platforms.
- Extend and maintain network testbeds and CI infrastructure.
- Profile and optimize the performance of the system.
- Triage incidents from the production system and create fixes/improvements.
What are we looking for
- Strong proficiency in modern C++ (C++17 or later), with a focus on high-performance, multi-threaded applications.
- Experience working in Linux-based environments.
- Solid understanding of networking fundamentals and protocols (TCP, UDP).
- Ability to analyze and optimize systems.
- Strong problem-solving skills and a research-oriented mindset.
- Experience working on distributed systems.
- Good interpersonal and communication (oral and written) skills
Nice to have:
- Understanding of networking and wireless technologies, including LTE/5G, WiFi, Starlink, and experience with tools like Wireshark for traffic analysis.
- Hands-on experience with streaming protocols, such as RTP/RTCP/RTMP/SRT, and media frameworks, such as GStreamer, FFmpeg, or DirectShow.
- Familiarity with congestion control algorithms and network simulation environments.
- Experience with building and deployment (e.g. CMake, Docker, Yocto), and scripting languages such as Python or Lua.
- Experience in real-time or embedded systems development, with knowledge of modem configuration via AT commands.
- Background in performance analysis and debugging, using tools like perf, perfetto; and graphical UIs like ImGui.
Why choose Vay
💪 A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality
🌍 Huge scope for impact in a fast paced environment
💰 ESOP stock options: A stake in Vay’s future - not just a salary
🌴 Unlimited Paid Vacation Days
🎫 Subsidised Deutschland ticket (Berlin)
🏋️♂️ Subsidised Urban Sports Club or FitX Membership
🚗 All Vay team members receive 30% off their Vay rides
🛍️ Exclusive external discounts
💼 €350 Home Office Set-up
✈️ Relocation financial assistance when relocating to Berlin
📚 Fully funded German Lessons
🎊 Regular team events throughout the year
For more information on Vay’s physical demands, working environments and safety requirements, you can review this link. We’ll also cover anything specific to this role during the first interview.
We’d love to stay connected for future opportunities, so feel free to include your LinkedIn profile when you apply.
We welcome applications from all backgrounds and experiences. If you’re excited about shaping something truly groundbreaking, we’d be happy to hear from you.
Ready to apply?
Apply to Vay
Senior SEO Manager (all genders)
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The role: What's in the Box
As search behavior evolves across Google, AI Overviews, ChatGPT, Perplexity, Reddit, and other discovery surfaces, our SEO team is expanding its focus from traditional organic search to broader Organic Discovery: building the technical, content, and measurement foundations that help customers find us wherever dinner decisions are made.
As part of this team you’ll strengthen the technical SEO foundation across high-impact surfaces such as recipe pages, collections, and editorial content, as well as new AI/GEO discovery formats.
Since this isn’t a purely advisory role you’ll also diagnose complex SEO issues, translate them into scalable product and engineering requirements, partner closely with developers and product managers, and measure the impact of technical and programmatic SEO improvements across international markets.
What you’ll do: The Recipe
- Owning the technical SEO strategy across HelloFresh Group websites, focused on crawlability, indexation, site architecture, structured data, internal linking, and international SEO.
- Leading technical audits and turning findings into prioritized roadmaps.
- Partnering with Product and Engineering teams to define SEO requirements for templates, migrations, content systems, automation, and sitewide technical changes.
- Controlling international SEO workstreams including hreflang, canonicals, URL structure, duplicate content, and multilingual/multi-market visibility.
- Building scalable SEO QA processes for launches, including pre-launch validation, post-launch monitoring, crawl checks, and structured data checks.
- Driving programmatic SEO and automation initiatives, including XML sitemaps, internal linking logic, page creation workflows, and publishing guardrails.
- Using SEO, analytics, crawl, ranking, and internal data to diagnose issues, identify opportunities, and measure impact.
- Communicating technical SEO priorities clearly to senior stakeholders, connecting recommendations to traffic, conversion, crawl efficiency, and AI/GEO visibility.
What you’ll bring: The Ingredients
- 5-7+ years of SEO experience, with strong hands-on technical SEO ownership for large-scale websites as well as experience in working on international or multi-market websites with complex language, country, domain, or subdirectory structures.
- Deep knowledge of crawlability, indexation, canonicals, hreflang, redirects, structured data, XML sitemaps, internal linking, JavaScript rendering, Core Web Vitals, and site architecture.
- Ability to work with Product and Engineering teams, write clear SEO requirements, influence prioritization, and validate implementation.
- Advanced analytical skills using tools like Google Search Console, Screaming Frog, Ahrefs, STAT, GA4, BigQuery, Looker, or similar platforms.
- Comfortable reading HTML, CSS, JavaScript, structured data, and server responses; Python, SQL, JavaScript, or Google Apps Script proficiency is a plus.
- Strong communication skills and the ability to explain technical SEO issues clearly to non-SEO stakeholders, also outstanding organizational skills, and comfort in operating across multiple brands, markets, and teams.
Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.
What we offer
Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.
- Immerse yourself in a diverse global community of 90+ nationalities.
- Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
- Exclusive discounts on your weekly HelloFresh box and office meals.
- Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy.
- Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!
Are you the missing ingredient?
If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
#JD1002
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Staff Data Scientist, Selection Analytics
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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 are looking for a Staff Data Scientist to join Wolt’s mission in Finland, Sweden, or Germany!
About the role
The Selection Analytics Team at Wolt owns the data and infrastructure that helps all 32 of our country teams build a portfolio of high-quality restaurant and retail stores. Our overarching mission is to provide customers with the best selection by enabling sales teams across all markets to acquire the best merchants.
To do this, we work directly with country sales teams to help them identify and prioritize the highest potential merchant candidates. We also work with Wolt leadership by providing metrics to track selection quality, upon which they develop strategic initiatives and goals. This is a lean and mighty team that owns and operates the engine for merchant acquisition globally.
What you'll be doing
As a senior member of the Selection Analytics team, your role involves leveling up our approach to identifying and prioritizing better merchants. You’ll achieve this by:
- Developing and deploying production-level ML models
- Crafting metrics to unlock deeper insights into merchant selection quality for all markets
- Conducting experiments to understand the impact of selection on specific markets
- Work on self-serve tooling to track these insights.
This is also a rare, high-exposure experience where you will then use your findings to work directly with country leadership to help them uncover growth opportunities. When you join this team, you will be driving action from the frontlines, rather than just crunching numbers and creating dashboards.
Our humble expectations
- 5+ years of experience in data science, consulting, or a related quantitative role
- Fluent in Python & SQL
- Strong exploratory data analysis skills, willingness to look under the hood
- Exposure to experimental design (A/B testing) and key statistical methods
- Experience in feature engineering, model design, evaluation, diagnostics, and monitoring
- Knowledge of MLOps concepts and tools (e.g. MLflow, Flyte)
- Determination to initiate and lead/own strategic projects to completion with a cross-functional team
- Innate curiosity to understand how things work and a first-principles approach to problem solving
What we offer
- The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time combined with differences in the economics and dynamics of the cities we operate in make Wolt both a challenging and so interesting company to practice analytics.
- You can work onsite at our offices in Helsinki, Stockholm, or Berlin. Alternatively, you can work remotely anywhere in Finland, Sweden, or Germany. You have the chance to decide the ways of working — a hybrid, at the office, or remote, within the location above. 💙
- You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.
Next steps
The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!
For any further questions about the position, you can turn to the Product+ Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com)
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.
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Apply to Wolt - English
Gemeinsam gestalten wir die Gesundheitsversorgung der Zukunft
Deine Aufgaben
- Vorbereitung, Planung, Durchführung von Messen und weiteren Events (Recherche, Angebotsvergleich und Kommunikation mit Dienstleistern, Abwicklung der Logistik, Erstellung von Briefing- und Sales-Materialien)
- Recherche, Brainstorming & die Erstellung von Inhalten für verschiedene Veranstaltungen wie Messen oder Webinare
- Unterstützung bei der Entwicklung und Produktion von Goodies und jeglichen Marketingmaterialien mit externen Dienstleistern
- Zusammenarbeit mit Veranstaltern: Vorbereitung von Veranstaltungsmaterialien und dessen Aufbau bei Events
- Erste praktische Erfahrungen im Eventmanagement bei der Betreuung von Messe- und Kongressauftritten gesammelt haben
- Einblicke in den gesamten Scope des B2B-Marketings bekommen haben
- Umfangreiche Erfahrungen im Bereich Priorisierung, Projekt- und Zeitmanagement gesammelt haben
Dein Profil
- Du begeisterst Dich für die Themen Event Management und Event Marketing und stehst für ein 6-monatiges Praktikum zur Verfügung
- Du hast eine strukturierte, proaktive Arbeitsweise und verfügst über eine hervorragende Selbstorganisation
- Du arbeitest gerne lösungsorientiert und hast Freude an der Arbeit in einem schnelllebigen Umfeld
- Du zeichnest Dich durch Deine aufgeschlossene und kommunikative Art aus und hast Spaß an der Zusammenarbeit im Team
- Du verfügst über sehr gute Deutsch- und gute Englischkenntnisse in Wort und Schrift
- Du konntest bereits erste Erfahrung im Eventmanagement, Marketing oder ähnlichen Bereichen sammeln
- Du bringst gute Grundkompetenzen im Bereich Organisation und Projektmanagement mit
- Du bist datenaffin und hast Lust, mit Reportings und Kennzahlen zu arbeiten
Was wir Dir bieten
- Ein strukturiertes und individuelles Onboarding im Rahmen unserer Doctolib Academy sowie ein breites Angebot an internen Trainingsprogrammen
- Ein von Doctolib gesponsertes Deutschlandticket oder die Übernahme Deines Semestertickets
- 28 Urlaubstage im Jahr (anteilig auf Deine Arbeitszeiten berechnet)
- Ein flexibles Arbeitsmodell, das hybrides und Office-basiertes Arbeiten ermöglicht
- Regelmäßige Frühstücksangebote im Büro sowie Bezuschussungen zu Deinem Lebensmitteleinkauf
- Ein gefördertes Sportangebot mit unserem Partner Urban Sports Club
Der Interviewprozess
- Interview mit Deiner Managerin
- Case Study mit Deiner Managerin (vor Ort im Office)
Job Details
- Praktikum in Vollzeit (40 Std./Woche)
- Tätigkeitsdauer: 6 Monate
- Arbeitsort: Berlin
- Gehalt: 1.900 €/Monat (Pflichtpraktikum) oder 2.425 €/Monat (freiwilliges Praktikum)
- Startdatum: Juli 2026
- Arbeitsmodus: Hybrid (2-3 Tage Office/Woche)
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Senior Solutions Architect - Lakewatch
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Requisition ID: FEQ427R217
Sr. Solutions Architect (Lakewatch - EMEA)
The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.
The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.
The Lakewatch product-line requires the following core technical competencies:
- 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
- Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
- Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
- Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
- Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
- Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.
The impact you will have
- Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
- Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
- As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
- Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
- Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
- Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
- Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.
Competencies & Responsibilities
- 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
- Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
- Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
- Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
- Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
- Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
- Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.
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.
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Apply to Databricks
Backend Engineer (Python/Go) - Consumer Platform Team
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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.
Are you excited about building the systems that keep Wolt running for millions of customers every day?
We’re looking for a pragmatic, product-minded Backend Engineer with strong skills in Python or Go to join our Consumer Platform team – the group behind the core infrastructure and reliability that make Wolt fast, stable, and scalable.
This is a role at the intersection of backend engineering, platform thinking, and reliability. You’ll work on the systems that power critical purchase flows and the foundations that other teams build on, shaping how Wolt performs at scale.
What you’ll be doing
Day-to-day in this role, you’ll:
- Build and operate high-throughput backend services in Python and Go
- Work across the full development lifecycle, from system design to deployment and monitoring
- Improve the scalability and reliability of Wolt’s core platform
- Design and develop shared services, internal tooling, and platform-level capabilities used across teams
- Drive cross-team initiatives that raise engineering standards and system resilience
- Collaborate with product teams and other engineering groups to support critical consumer-facing flows
Why this role
- Work on the backbone of Wolt: Consumer Platform sits at the core of Wolt’s engineering organization. The systems you build power everything from purchase flows to platform-wide reliability, with direct impact on millions of users.
- An AI-first engineering team: We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship.
- High-impact, cross-team work: This team is known for driving initiatives that span across Wolt. Recent work includes scaling the purchase core to support split payments, building API gateway capabilities for critical flows, and improving reliability standards across the platform.
- A small team with high leverage: You’ll work in a focused, experienced team where engineers take ownership, move quickly, and influence both technical direction and platform strategy.
AI-First Engineering in Consumer Platform
We’re building platform teams at the forefront of agentic software development. This goes beyond code generation. We’re interested in engineers who:
- Design workflows where AI agents assist or own parts of the development loop
- Think critically about what should be automated versus human-reviewed
- Build tooling and abstractions that make AI-assisted backend development safer and more effective
- Stay curious about new models, tools, and approaches, and form strong opinions on what actually works
If you find yourself asking “how should this system be built with AI in mind?” you’ll fit right in!
Our Tech Stack
Python, Go, MongoDB, Redis, Kubernetes, AWS, Datadog, CI/CD pipelines
What we’re looking for
- Strong backend fundamentals: Experience building production-grade backend services using Python, Go, or similar languages.
- AI-first development mindset: You use AI tools in your daily workflow and think critically about how they improve how you build, debug, and design systems.
- Experience at scale: You’ve worked on high-traffic production systems and understand the challenges of reliability, performance, and scalability.
- System design thinking: You have solid fundamentals in designing distributed systems and care about efficiency, robustness, and maintainability.
- End-to-end ownership mindset: You take responsibility beyond implementation, from shaping solutions to ensuring systems are stable, observable, and production-ready.
- Ability to work independently and drive projects: You’re comfortable owning work end-to-end, navigating ambiguity, and moving initiatives forward with minimal guidance.
- Collaboration and communication: You work effectively across teams and communicate clearly in multi-team engineering environments.
- Reliability and operational awareness: Experience with observability, on-call practices, or reliability engineering is a plus.
- Platform and tooling exposure: Experience contributing to shared systems, internal tooling, or platform engineering initiatives is a plus.
About You
- You've built and shipped real software - products, platforms, APIs, apps - and you know what it takes to keep things running reliably in production. You have opinions about architecture but hold them lightly. You write tests. You read the alerts. You don't leave loose ends.
- What sets you apart right now is that you're genuinely excited about where engineering is going. You've been experimenting with AI agents and agentic coding workflows - not because someone told you to, but because you couldn't help yourself. You think about how to redesign your development loop from first principles, not how to bolt AI onto the way you already work.
- You communicate well, collaborate easily across disciplines, and care about the product as much as the code. You're the kind of engineer who asks "what's the best way to..." and then actually follows through.
Where you'll work
These roles are based in our tech hubs in Helsinki, Berlin OR Stockholm.
Next steps
We’re reviewing applications on a rolling basis, and the role will be filled as soon as we find the right person, so don’t wait!
The hiring process typically includes a conversation with the Talent Acquisition Partner, followed by technical interviews, a team chat, and a final decision.
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
Location: Berlin (Hybrid) Travel: ~25%
About Parloa:
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
We are on a mission to transform how people interact with companies by making every conversation seamless, personalized, and human-like. Our AI Agent Management Platform empowers enterprises to create and manage AI voice and chat agents at scale, turning interactions into lasting relationships.
As our Deployment Strategist, you will drive AI transformation at Global 2000 enterprises as the “Field CPO” for Parloa’s most strategic customers. You will own the bridge between customer outcomes and product reality, translating business needs into deployable product capabilities for customers like Booking.com, Allianz, Decathlon, and TUI.
This is an opportunity to build a new industry. Agentic AI for enterprise is nascent. You’ll define what “good” looks like - at the forefront, with the hardest customers, solving the toughest problems.
Areas of ownership:
- Land big clients (Global 2000 with complex, off-roadmap needs) and ensure their AI transformation succeeds.
- Manage stakeholders across business and tech (CEO, COO, CIO, CTO, VP Support), owning deployment from value thesis through production to expansion.
- Translate customer needs into product capabilities (not one-off customizations) that become reusable platform features.
- Build prototypes, make product changes, and create business plans hands-on - execution over PowerPoints.
- Represent customers to Parloa Product and represent Parloa Product to customers, bridging both worlds.
- Navigate ambiguity in agentic AI workflows, ROI models, and change management where no playbook exists yet.
- Own hard conversations: tradeoffs, “no,” re-scoping, and timeline realism with strategic accounts.
- Influence without authority across Product, Engineering, Sales, and Customer Success to drive outcomes.
- Feed validated learnings to product roadmap, turning customer work into platform capabilities that compound.
Who you are:
- 7-12 years of experience in enterprise software (solution architecture, product, or consulting) with a proven track record of customer-facing delivery.
- “Field CPO” mentality: ability to translate customer outcomes into product reality and vice versa.
- Business + tech stakeholder leadership: presented to C-suite across business and tech functions, demonstrated value, and ensured solutions make business sense.
- Product thinking: built client-specific roadmaps aligned with platform strategy.
- Architectural credibility: scoped off-platform features, assessed feasibility, and ensured supportability.
- Influence without authority: led cross-functional teams (Product, Eng, Sales, CS) without direct reports.
- Adaptability: comfortable being uncomfortable, willing to learn, operates in ambiguity.
- Hands-on execution: gets hands dirty - built prototypes, made product changes directly, created business plans. Not just an advisor.
Nice-to-have:
- Industry diversity: experience in travel, fintech, insurance, retail, healthcare, telecom, or enterprise software - we’re building a team with a broad industry perspective.
- Industry-changing companies: worked at companies that transformed their industry (Booking.com, Decathlon, N26, Deel, Stripe, Uber, Airbnb).
- Hypergrowth experience: thrived in fast-scaling environments (e.g., 25 to 1500 people).
- Background as Palantir Deployment Strategist, AWS/GCP Solutions Architect, or product roles at hypergrowth tech.
- Tech stack: architectural understanding of Python, TypeScript, Terraform, K8s, Azure/AWS.
- AI/ML: LLM pipelines, agentic AI deployment, prompt engineering.
- Learning loop: created reusable patterns from custom work, fed learnings to product.
Our recruiting process:
TA Screen (45 min) → Hiring Manager Call (45 min) → Product + Commercial Stakeholder Call (60 min.) →Technical Stakeholder Call (60 min.) → Case Study (take-home) → Bar Raiser Interview (60 min.)
Ready to build a new industry? Submit your resume and a brief cover note: “What’s a customer outcome you owned? What did you personally build/execute (not just advise)?”
Why Parloa?
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
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Forward Deployed Engineer, DevOps
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About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services.
Areas of ownership:
- Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
- Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
- Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
- Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
- Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
- Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
- Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
- Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.
Who you are:
- 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
- A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
- Proficiency in at least one scripting or programming language like Python, Go, or Bash.
- Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
- Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
- Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
- A strong background in Infrastructure as Code (Terraform is highly preferred).
- Experience building self-service tools and platforms that empower specific development teams.
Our Recruiting Process:
Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser
Why Parloa?
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
Ready to apply?
Apply to Parloa
About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
As a Data Analyst (Strategy & Analytics), you will play a central role in shaping how Parloa uses data to drive growth, efficiency, and strategic clarity. You’ll work across Commercial, Operations, Product, and Tech to turn data into actionable insights that inform decision-making at every level of the company.
This is your opportunity to combine deep analytical work with real business impact by building scalable data products, influencing company-wide strategy, and helping Parloa operate with greater precision and speed.
Areas of ownership:
- End-to-End Analytics: Own analytics projects from problem definition and hypothesis building to data modeling, insight generation, and executive communication.
- Performance & KPI Frameworks: Partner with cross-functional leaders to define KPIs, reporting structures, and metrics that drive accountability and focus.
- Data Products & Reporting: Design and maintain scalable dashboards and reporting solutions that provide clear visibility into company performance.
- Advanced Analytics & Modeling: Build forecasting and predictive models to support planning, resource allocation, and strategic decision-making.
- Business Insights & Optimization: Conduct deep-dive analyses to uncover growth opportunities, operational inefficiencies, and product usage patterns.
- Data Foundation & Quality: Collaborate with data and analytics engineering teams to improve data models, ensure data quality, and scale reliable reporting.
Who you are:
- 5+ years of experience in data analytics, business analytics, or strategy analytics, ideally in a high-growth tech, consulting, or finance environment
- Strong SQL skills; experience in Python or R for advanced analytics is a plus
- Solid understanding of statistical methods and machine learning techniques (e.g. regression, classification, forecasting)
- Experience building dashboards and reporting frameworks using tools like Tableau, Looker, or similar
- Strong understanding of financial data structures and FP&A processes, as well as commercial and operational metrics
- Experience supporting FP&A workflows (e.g., budgeting, forecasting, revenue and KPI tracking) by transforming financial data into well-structured reporting layers aligned with accounting logic and business needs.
- Proven ability to design metrics and translate business questions into structured analytical approaches
- Confidence in communicating insights to senior stakeholders, including executives
- Structured, hypothesis-driven mindset with a pragmatic and hands-on approach
Our Recruiting Process:
Talent Acquisition → SQL Challenge → Hiring Manager → Technical Interview(s) → Bar Raiser
Why Parloa?
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
Ready to apply?
Apply to Parloa
About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
As Senior Data Engineer – Internal Platform, you will build and own the data infrastructure that powers Parloa's internal AI transformation. Today, business-critical data lives across dozens of disconnected tools with no unified way to access it — you'll change that by creating a single, self-serve access layer that gives AI agents and teams the business context they need to operate. Working closely with the AI Transformation Team and stakeholders across the non-engineering organization, you'll also define the KPIs and dashboards leadership uses to track AI adoption and impact.
Areas of ownership:
- Data Platform Infrastructure: Own the Internal-facing Databricks workspace end-to-end: configuration, compute, access controls, and cost management.
- Ingestion Pipelines: Build and maintain Airbyte pipelines that pull data from Salesforce, Gong, HRIS, finance systems, and other tools on automated schedules.
- Data Modeling & Transformation: Implement the architecture that turns raw data into clean, trusted, analysis-ready datasets.
- AI Data Enablement: Partner with the AI Transformation Team to ensure AI agents and LLM workflows get the right data in the right format.
- AI Adoption Measurement: Define and build the KPIs and dashboards that track AI usage, proficiency, and business impact across the company.
- Data Governance & Compliance: Own data classification, access policies, GDPR/DPA compliance, and pipeline monitoring.
Who you are:
- Experience designing data layers that power AI/LLM-based applications and agentic workflows.
- Proficiency in Python, SQL, ETL/ELT tools, and MLOps.
- Knowledge of dimensional modeling and modern data warehouse technologies.
- Ability to comprehend and execute on complex requirements and resolve performance issues.
- Ability to articulate complex technical concepts to non-engineering audiences, making data architecture decisions and trade-offs understandable for leadership and cross-functional stakeholders.
- Passion for staying updated and driving innovation in data engineering.
- Ability to define and instrument Al adoption KPls: usage tracking, proficiency distribution, and business impact metrics.
- Understanding of how Al tools consume data – context windows, retrieval patterns, embedding pipelines – and how to optimise data access for.
Our recruiting process:
Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser
Why Parloa?
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
Ready to apply?
Apply to Parloa
Staff/Principal Software Engineer
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About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
Join us in reimagining customer experience with Agentic AI. As a Staff or Principal Software Engineer, you will play a critical role in shaping Parloa’s engineering strategy and architecture while staying close to the code. This role is about building resilient, enterprise-grade systems that can scale globally and helping us set the benchmark for engineering excellence in Europe and beyond.
Areas of ownership:
- Deliver business value by writing code every day.
- Define and drive technical strategy across multiple domains and org-wide initiatives.
- Lead cross-team architecture and ensure solutions scale globally for enterprise adoption.
- Balance short-term velocity with long-term resilience, making smart trade-offs on complexity, cost, and scalability.
- Remain hands-on - whether writing foundational code, leading design reviews, or refactoring key systems.
- Serve as a trusted advisor to leadership, ensuring engineering capacity matches market and customer demands.
- Set cultural standards for fearless iteration, bias for action, and pragmatic perfectionism—design for tomorrow, build for today.
OUR TECH STACK:
TypeScript, Node.js, React, Python, FastAPI, Kubernetes, MongoDB, Azure, Kafka, NATS
Who you are:
- A seasoned technical leader (typically 12–15+ years) with a track record of org-level or industry-level impact.
- Deeply experienced in enterprise-scale systems and multi-team architecture leadership.
- Equally comfortable flying high (strategic vision) and diving deep (technical details).
- Thrives in ambiguous, high-stakes environments with a strong sense of urgency.
- Embodies Parloa’s ambition: to build Europe’s leading engineering culture and a world-class AI platform.
- Motivated by making the impossible possible and building something iconic.
Our engineering values:
At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You’ll thrive here if you:
- Earn Trust – act with transparency and reliability.
- Obsess Over Customers – always start with the customer problem.
- Think Big – set bold goals and pursue them fearlessly.
- Have Integrity – do the right thing, especially when it’s hard.
- Disagree & Commit – debate with candor, align fast, and deliver.
- Own It – take full responsibility for outcomes, not just tasks.
- Dive Deep – master the details without losing sight of the big picture.
- Bias for Action – move fast, decide quickly, iterate fearlessly.
- Deliver Value – measure success by customer and business impact.
- Insist on the Highest Standards – raise the bar continuously.
- Go the Extra Mile – make the impossible possible.
- Hire & Elevate the Best – raise the bar with every hire
Our recruiting process:
Recruiter Call → Technical Peer Interview → 360° Tech Interview Loop → Bar Raiser
Why Parloa?
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
Ready to apply?
Apply to Parloa
Junior Backend Engineer, Discovery
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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 passionate and product-minded Backend Engineers to join our Discovery team - the group behind some of the most visible and impactful parts of Wolt’s consumer app. You’ll work on features that help millions of users discover their next favorite restaurant, grocery store, or product- from the homepage and category views to new vertical experiences like groceries, electronics, pet food, and health & beauty.
This is more than just a backend engineering role. We’re looking for someone who combines strong technical skills with curiosity, ownership, and a deep interest in creating meaningful user experiences at scale.
AI-First Engineering in Discovery
We're building teams at the forefront of agentic coding. This goes beyond autocomplete or occasional prompting. We’re looking for engineers who:
- Design workflows where AI agents handle entire task loops, from spec to PR.
- Think in terms of orchestration: what does a human review, what does the agent own?
- Build internal tooling and abstractions that make AI-assisted development faster and more reliable for the whole team.
- Stay curious and ahead of the curve - trying new models, agents, and tools as they emerge, and forming strong opinions about what's genuinely useful vs. hype.
If you find yourself naturally asking "can an agent do this?" before reaching for the keyboard, you'll fit right in.
What you’ll do:
- Design, build, and operate high-performance backend services - primarily in Kotlin and Go (experience with Python is a plus) - powering discovery surfaces, front pages, and category experiences across Wolt’s new and existing verticals.
- Own your services end-to-end: from requirements, design, and delivery to testing, CI/CD, deployment, monitoring, and on-call.
- Translate product and user needs into scalable, low-latency solutions and run experiments (A/B tests, feature flags) to continuously improve performance and impact.
- Collaborate closely with Product Leads, Frontend, Data, and Machine Learning teams to build features like search, ranking, personalization, and data-pipeline integrations.
- Drive reliability, observability, and efficiency - through automated testing, logging, tracing, alerting, incident response, and post-mortems.
- Continuously improve technical quality by reducing tech debt, proposing architectural improvements, and measuring their outcomes.
Why this role?
Join our Discovery team and shape how users experience Wolt from the moment they open the app.
- An AI-first team by design: We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship.
- Real ownership, real impact: Discovery is one of the most critical parts of the product. You’ll own features end-to-end and see your work directly influence user behavior at scale.
- Cross-functional collaboration: You’ll work closely with product managers, designers (including motion), backend engineers, and data teams to build seamless user experiences.
- A small team with high leverage: We operate as a tight, cross-functional team where engineers have a strong voice, move fast, and take responsibility for what they ship.
What we’re looking for
- Solid engineering fundamentals: At least 1-2 years of experience building production backend services
- Genuine enthusiasm for AI-first development: You use AI tools daily and have formed real opinions about how to get the most out of them.
- End-to-end ownership mindset: You take responsibility beyond implementation, from breaking down problems into technical tasks to ensuring features are tested, stable, and successfully shipped
- Ability to work independently and drive projects: You’re comfortable owning work end-to-end with minimal guidance, collaborating with designers to clarify requirements, creating tasks, and moving initiatives forward
- Product and execution thinking: You operate well in ambiguous environments and contribute not just to implementation, but to shaping what gets built and how
- Experience operating in production environments: You’ve debugged real issues in live backend services and understand what it takes to maintain reliability at scale
- Collaboration and communication: You communicate clearly and work effectively across teams, including in multi-team development environments
🌍 Where You’ll Work
You will be based in Helsinki, and be a part of a distributed, cross-functional team with engineers in Berlin and Helsinki. We operate in a remote-friendly environment designed to encourage collaboration and innovation.
Next steps
These positions will be filled as soon as we find the right persons, so make sure to apply as soon as you realize you really, really want to join us!
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
Data Scientist – Berlin
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BEST WORK OF YOUR CAREER
Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +10 million customers who trusted us with over 100B in assets. But we’re striving for more.
We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.
WHAT YOU'LL BE DOING
Our Operations Platform team leads the development of automated workflows and tools for our Operations and Customer Support staff to achieve an amazing customer experience.
To achieve this, we recognise that data isn't just a resource - it's a cornerstone. In this role you will:
- Plan and execute the roadmap for your services together with the team
- Play a pivotal role in designing the architecture of your data products, ensuring they are scalable, robust, and synergistic with our existing platforms
- Research, build, test and deploy models - this is where you will spend most of your time. With a focus on team ownership, this gives a lot of time for our developers and data scientists to actually work technically instead of with process
- Once deployed, you will continue to oversee your products, monitoring their performance metrics and making data-driven adjustments as needed to optimise result
WHAT WE'RE LOOKING FOR
- at least 5 years of end-to-end data science and software engineering experience, preferably in a dynamic environment with a modern tech stack
- Experience working in Operations, specifically significant experience in customer service automations
- Experience with applying a wide variety of machine learning techniques to business problems, particularly with tabular and natural language data
- Strong command of SQL, Python together with its scientific stack (numpy, pandas, matplotlib, scikit-learn)
- Good understanding of Software Engineering practices (e.g. test-driven development, OOP, CI/CD, etc.) and experience with productionizing ML products
- Recent hands-on experience in deploying and maintaining an AI agent/workflow powered by LLMs, using both low level SDKs (openai, anthropic, google-genai,..) and prompt engineering frameworks (llama-index, langchain, dspy, ..)
- General understanding of LLMOps principles, for evaluating, testing, versioning and experimenting prompts in staging and production (langsmith, langfuse, arize-phoenix, lunary, ..)
WHY YOU SHOULD APPLY NOW
Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!
We believe it’s our team’s varied identities and backgrounds that make us sharper and stronger. We’re committed to creating an environment where everyone feels respected and has equal opportunity to thrive in their careers. For any questions on DEI during the interview process, reach out to your recruitment partner.
Ready to apply?
Apply to Trade Republic
Senior Analyst, Finance & Strategy, Marketing
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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.
Are you passionate about supporting business management through sharp financial analysis? Do you have solid experience crunching data and would like to work in one of the fastest growing tech companies in Europe? If so, then please read on!
About the Team
The Marketing Finance & Strategy team is part of Wolt's Finance & Strategy organization, sitting within the Marketplace & Consumer line of business. We own the budget, forecasting, and efficiency tracking for Wolt's entire marketing investment - spanning Discounts & Promos, Customer Acquisition, and Brand Marketing across 22+ countries and three business lines (Marketplace, New Verticals, Commerce Platform). We work closely with Marketing leadership, regional teams, and DoorDash counterparts to make sure every euro of marketing spend is tracked, forecasted, and evaluated.
We're also one of the most AI-forward teams in Wolt F&S - Cursor, Claude Code, Glean, and custom automation are part of how we work every day.
About the Role
We're looking for a Senior Analyst to own the operational and technical backbone of our team. You'll be responsible for our central Marketing Forecasting Tool (MFT), the monthly closing process, weekly forecast uploads, and the data pipeline that powers our Global Marketing Weekly Business Review. Beyond keeping the engine running, your first major mission is to fix the data foundation: reconciling sources, aligning budget versions, and standardizing metric definitions so that all our numbers tie across every document and system.
This is a role with real end-to-end ownership. You won't just support the process - you'll run it.
What you’ll be doing
- Own the MFT end-to-end: a 30-country forecasting tool that is the central hub for all marketing budget data at Wolt
- Run the monthly closing process for both Discounts & Promos and Customer Acquisition Cost, including actuals validation with regional teams
- Execute weekly forecast uploads to our management reporting systems (Pulse/IBM)
- Build and maintain the data pipeline behind the Global Marketing WBR (Snowflake pulls, OKR updates, data QA)
- Be the first point of contact for budget questions from marketing teams across the organization
- Fix known data inconsistencies between our reporting tools and create a single source of truth
- Build new analytical frameworks (Payback/LTV, M2 Retention tracking) from scratch
- Work with AI tools (Cursor, Glean) from day one to automate and improve how the team operates
Our humble expectations
- Have 3-5 years of experience in FP&A, management accounting, or finance operations, ideally at a tech company or fast-scaling marketplace
- Are advanced in Excel / Google Sheets and can confidently work in complex, multi-tab models
- Have hands-on SQL / Snowflake experience and can write queries, build data pulls, and maintain pipelines
- Have owned a forecasting or budgeting tool end-to-end before - not just contributed, but ran it
- Are comfortable with month-end closing processes: actuals validation, accruals, variance analysis
- Spot when data sources don't tie - and can't let it go until you've found the root cause
- Are fluent in English
Nice to haves:
- Experience with Python or Google App Scripts for automation
- Familiarity with marketing finance (CAC, CPA, D&P, unit economics)
- Interest in AI-assisted workflows - we'll teach you the tools
- German language skills
- Experience in a multi-country or multi-entity finance environment
Please note that we do not accept applications sent by mail. You should submit your application through our careers website in English!
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 Backend Engineer (Python/Go), Multilingual Intelligence & Resolution Automation (MIRA)
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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.
At Wolt, world-class customer service isn’t an afterthought, it’s at the heart of everything we do 💙 We’ve built our reputation on delivering fast, thoughtful, and high-quality support, and we’ve done that by investing deeply in our own technology. Rather than just reacting to problems, we aim to solve them before our customers and partners even notice. Behind the scenes, that means building systems that scale globally, handle real-world complexity, and empower support teams to do their very best work.
This is where the Multilingual Intelligence & Resolution Automation (MIRA) team comes in. The team is on a mission to make customer support truly borderless. We’re building intelligent, AI-powered systems used across Wolt, DoorDash, and Deliveroo, including a real-time translation engine that supports seamless conversations across 20+ languages. Processing hundreds of requests per minute and powered by modern cloud infrastructure and state-of-the-art LLMs, this system enables borderless support and helps create experiences that feel natural, human, and native, no matter where you are in the world. And we’re only just getting started. 🚀
What you’ll be doing
- Design, build, and operate scalable backend services powering real-time, customer-facing systems
- Develop and evolve AI-powered translation capabilities using LLMs in production
- Help build the tooling and infrastructure needed to evaluate models across quality, latency, and cost
- Collaborate closely with product, applied science, frontend, and platform teams to turn complex support problems into robust user-facing systems
- Take ownership of technical decisions and help shape the architecture and future direction of the system
- Improve the performance, reliability, and operational readiness of services handling real production traffic
- Continuously explore better ways of working, including leveraging AI tools to improve development workflows
Our humble expectations
- 👉 You have solid experience designing, building, and integrating quality software (microservices) at scale within a complex domain.
- 👉 You have strong backend development skills in Python or Go (interest in other tech is highly appreciated)
- 👉 You actively leverage modern AI tools (such as GitHub Copilot, Claude, ChatGPT or similar) to enhance your productivity, code quality, and day-to-day development workflow.
- 👉 You have strong technical leadership skills.
- 👉 You have experience with cloud platforms (AWS or similar), container orchestration (Kubernetes, Docker), observability tools (such as DataDog), and database technologies (SQL and NoSQL).
- 👉 Your stakeholder management skills are excellent.
- 👉 You're a pragmatic problem-solver with a growth mindset, eager to step outside your comfort zone and continuously learn.
- 👉 You're comfortable working with real-world data and its nuances.
What we offer
- A chance to build something that truly matters, technology that enables people to connect and solve problems across languages and borders
- The opportunity to work with AI and LLMs in real, high-impact production use cases
- Flexibility to work from Helsinki or Tallinn (hybrid), or remotely within Finland or Estonia
- Being part of a global engineering organization of 2000+ people, we aim to build none other than the best-in-the-world engineering team here.
- You’ll get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognise that if we don’t learn, we won’t stay still but fall behind, and keep in mind that Luke was Yoda’s greatest achievement.
🙌 Join us for an exciting journey of creating technology that brings joy, simplicity, and earnings to the neighbourhoods of the world!
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
Data Processing Specialist
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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.
Are you detail-oriented and have great communication skills? Do you love working in a cross-functional environment and solving problems?
Our Merchant Services team lies at the heart of Wolt, ensuring that we set all of our merchants up for success by providing a seamless onboarding, menu, and catalog experience. As Wolt continues to grow in both scale and scope of offerings, the strength of our content management and catalog operations must expand with it.
We are looking for a Data Processing Specialist for Content & Catalog team who will oversee the day-to-day operations of menu and catalog. You’ll ensure that product information on Wolt’s platform adheres to the highest standards of accuracy and compliance. As a catalog expert, you’ll work cross-functionally to improve processes, drive compliance, and ensure our menus and catalogs are engaging and up to date.
You’re excited about this opportunity because you will…
- Ensure that Wolt retail (grocery) offering is compliant and accurate
- Manage the content and quality of Wolt Germany’s product catalog for both Retail and Restaurants. Offerings are drafted quickly, in bulk and correctly
- Oversee rapid and accurate creation and update of the retail assortments.
- Create, refine and improve bulk data processing automations.
- Collaborate with cross-functional teams, including Product, Compliance & Onboarding.
What we offer
- Cool office in the heart of Berlin
- Independent work in a dynamic, international team
- A fast-growing tech company with many career opportunities
- Attractive salary package
- Discounts on Wolt orders
- Various soft drinks, coffee, and fruits in the office
- Weekly (virtual) all-hands meetings and regular team events
- Flexible working hours policy + 30 days of paid vacation
Qualifications
- Fluent in German (spoken and written) and English - any other language is a plus.
- You have a positive attitude and an entrepreneurial spirit
- You are a problem-solver - you enjoy diagnosing issues and developing creative approaches to solve challenges
- You have a strong technical skill - you have some Python / Javascript experience, good command of excel, and experience working with large data sets. SQL and Browser automations are a plus. Graduates welcome!
- You are customer-centric - you have a customer-first mentality, are effective at working with people with varying degrees of technical ability
- You are comfortable working in fast-paced and demanding environments
- Understanding of LMIV (Lebensmittel-Informationsverordnung): Strong knowledge of food labeling laws and regulations in Germany, particularly for grocery items.
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
Data Engineer (f/m/d)
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We are smava – the online credit comparison platform. We make loans transparent, fair and affordable! With more than 300.000 satisfied customers, we are one of the biggest FinTech companies in Germany. Become now part of our vision to shape the digital future of the consumer loan market!
The Data Platform team provides data infrastructure and services to our entire organisation, facilitating effortless data-driven decision-making across teams and departments, while ensuring speed, safety, and security.
WHAT YOU WILL BE DOING
- Maintain, develop, and modernize the data platform
- Design and implement data models (e.g. Data Vault)
- Build scalable batch and streaming data pipelines
- Collaborate cross-functionally with Business Analysts, Analytics Engineers, Data Scientists, and other fellow Data Engineers
- Ensure data reliability, quality, and performance across the systems
- Continuously improve our infrastructure using best practices and automation
OUR TECH STACK
- AWS (Redshift, S3, Kinesis, Glue, Aurora, DMS, EC2, ECS, Fargate, etc.)
- Data Engineering: Python, dbt, Dagster, Matillion
- Infrastructure: Terraform, Docker, CI/CD
- Other tools: Segment, Linux, Tableau
- You can find more insights about the team's work on these articles published on AWS and Dagster
YOUR PROFILE
- A solution-driven mindset with strong ownership mentality, a passion for self-learning and continuous improvement
- 2+ years of experience as a data engineer or in a similar role
- Good understanding of cloud infrastructure and data warehousing (ideally AWS and Amazon Redshift)
- Skills in both data streaming and batch-processing
- Experience with orchestration tools (e.g., Airflow, Dagster) and ETL/ELT frame works (ideally dbt)
- Experience coding in Python (or similar programming language) in a production environment
- Familiar with CI/CD, containerization (e.g. Docker, ECS), and working in Linux environments
Nice-to-Haves:
- Knowledge of Data Vault, Kimball, Inmon principles
- Experience with BI tools (preferably Tableau)
- Familiarity with modern data architecture (e.g. data lakes, data lakehouses, data mesh)
WHAT WE OFFER
- Our team comes from over 50 nations and you can expect an open and dynamic working environment with plenty of room for your further development
- We actively work to create a diverse and inclusive work environment by sharing our different skills, ideas and experiences as a team and representing diversity within the company
- For your personal development, we offer internal career programs, further training opportunities and language courses (German)
- A modern equipped office with roof terrace, lounge and much more
- We value our successes and celebrate them through regular events, such as the Company Lunch, the Table Tennis Tournament or our Summer Party
- Get your lunch delivered right to the office and save at the same time through the subsidy from smava
- Your rest is important to us so we offer 30 days of vacation, parents benefit from 10-child sick days in addition to the statutory entitlement
- To support your physical and mental health, we offer collaborations with sports providers and weekly sports activities in our office
- We support social projects and subsidize your ticket for public transport so that you can get to your destination in an environmentally conscious way
- Enjoy exclusive offers from a large number of brands and secure the best prices when buying through our Corporate Benefits partnership
- With smava you are secured in your old age and benefit from a subsidized company pension plan
Interested?
Then apply online in just a few clicks via the application button). Simply upload your CV (preferably as PDF file) and we’ll get back to you as soon as possible.
All applications are accepted exclusively via the application form.
Contact: Felipe Alemany (felipe.alemany@smava.de)
At smava we celebrate diversity and stand for an environment that represents a variety of backgrounds, perspectives and skills. We're committed to equal employment and development opportunities regardless of gender identity or expression, race, religion, age, sexual orientation, colour, disability, culture or place of origin.
Do you want to learn more about us?
Visit our career page:https://jobs.smava.de/
#LI-Hybrid
Ready to apply?
Apply to smava GmbH
Staff DevOps Engineering (f/m/d) Build & AI-Ops
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With over 4 million domains and more than 2 million customers, we, as an IONOS company, are among the largest web hosting providers worldwide. We operate two TÜV-certified data centers with over 70,000 servers. Our products are diverse and form the backbone of our success, but they only come to life through our amazing employees.
You are the architect of developer velocity. Your goal is to eliminate every second of friction in the engineering lifecycle, ensuring that a complex, multi-language (C++/Node.js) project feels as lightweight and responsive as a modern greenfield app. You don’t just manage servers; you manage the "AI-Ops" infrastructure that allows our Specialists and Staff engineers to work at 3x traditional speeds.
Tasks
- Environment Mastery: Design and maintain a "5-minute onboarding" workflow using Docker and DevContainers. You ensure that "it works on my machine" is a guarantee for every new hire.
- AI-Ops & RAG Management: Manage the team’s local AI infrastructure, including Retrieval-Augmented Generation (RAG) clusters, Cursor Skill libraries, and the custom documentation indexing that feeds our LLMs.
- The Bridge Pipeline: Automate and optimize the high-complexity compilation and hot-reload cycle between the OnlyOffice C++ core and the Node.js/JavaScript frontend.
- Autonomous CI/CD: Build "intelligent" pipelines that don't just report failures but use AI to analyze logs and automatically suggest (or apply) patches for brittle legacy build steps.
- Performance Guardrails: Implement "Continuous Profiling" in the build chain to catch 16ms frame-budget violations before code ever reaches a pull request.
Qualifications
- Advanced proficiency in Docker, GitHub Actions/Jenkins, and Makefile/CMake environments.
- Expertise in Python, Go, or Rust for building high-performance internal automation tools.
- Strong experience with Modern Web Tooling (Vite, Webpack, esbuild) and optimizing large-scale JS monorepos or project builds tests, CI/CD pipelines, dependency installation, local development workflows.
- Familiarity with managing Vector Databases or LLM self-hosting (Ollama/LocalAI) is a significant advantage.
- The AI Factor: You are the team’s "Prompt Architect" for infrastructure. You will use models like Claude Opus 4.6 Max and specialized DevOps agents to automate the "toil" of system administration, focusing your human intelligence on systemic optimizations and creating a seamless "Flow State" for the coding team.
- The Gaming Edge: We highly value experience from AAA Game Build Engineering. If you have managed the automated pipeline for complex, multi-platform assets and codebases where "Build Time" and "Asset Cooking" are primary KPIs, you have the exact DNA we need for this high-performance office suite.
Benefits
- Hybrid working model.
- Flexible working hours through trust-based working hours.
- At some locations a subsidized canteen and various free drinks.
- Modern office space with very good transport connections.
- Various employee discounts for activities and products.
- Employee events such as summer and winter parties, as well as workshops.
- Numerous training and development opportunities.
- Various health offers, such as sports and health courses.
We value diversity and welcome all applications - regardless of, for example, gender, nationality, ethnic or social origin, religion, disability, age as well as sexual orientation and identity, physical characteristics, marital status or any other irrelevant factor subject to applicable law.
Ready to apply?
Apply to STRATO ENStaff DevOps Engineering (w/m/d) Build & AI-Ops
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Mit über 4 Millionen Domains und mehr als 2 Millionen Kundinnen und Kunden gehören wir, als IONOS Unternehmen, zu den größten Webhosting-Anbietern weltweit. Wir betreiben zwei TÜV-zertifizierte Rechenzentren mit über 70.000 Servern. Unsere Produkte sind vielfältig und bilden das Gerüst unseres Erfolges, zum Leben erwachen sie jedoch erst durch unsere großartigen Mitarbeitenden.
Du bist der Architekt für Developer Velocity. Dein Ziel ist es, jede Sekunde Reibung im Engineering-Lifecycle zu eliminieren und sicherzustellen, dass sich ein komplexes, mehrsprachiges Projekt (C++/Node.js) so leichtgewichtig und reaktionsschnell anfühlt wie eine moderne Greenfield-App. Du verwaltest nicht einfach nur Server – Du verantwortest die „AI-Ops“-Infrastruktur, die es unseren Specialists und Staff Engineers ermöglicht, mit der dreifachen Geschwindigkeit zu arbeiten.
Aufgabenbereich
- Environment Mastery: Du entwirfst und betreibst einen „5-Minuten-Onboarding“-Workflow mit Docker und DevContainers. Du stellst sicher, dass „läuft auf meiner Maschine“ für jeden neuen Kollegen Realität ist.
- AI-Ops & RAG Management: Du betreibst die lokale KI-Infrastruktur des Teams, einschließlich Retrieval-Augmented-Generation-(RAG)-Cluster, Cursor-Skill-Libraries und der individuellen Dokumentations-Indexierung, die unsere LLMs speist.
- Die Bridge-Pipeline: Du automatisierst und optimierst den hochkomplexen Compile- und Hot-Reload-Zyklus zwischen dem OnlyOffice-C++-Core und dem Node.js/JavaScript-Frontend.
- Autonomes CI/CD: Du entwickelst „intelligente“ Pipelines, die nicht nur Fehler melden, sondern mithilfe von KI Logs analysieren und automatisch Patches für fragile Legacy-Build-Schritte vorschlagen (oder direkt anwenden).
- Performance Guardrails: Du implementierst „Continuous Profiling“ in der Build-Chain, um 16-ms-Frame-Budget-Verletzungen zu erkennen, bevor Code überhaupt in einen Pull Request gelangt.
Qualifikationen
- Sehr gute Kenntnisse in Docker, GitHub Actions/Jenkins sowie Makefile-/CMake-Umgebungen.
- Expertise in Python, Go oder Rust für den Bau hochperformanter interner Automatisierungstools.
- Fundierte Erfahrung mit modernen Web-Toolchains (Vite, Webpack, esbuild) und der Optimierung großer JavaScript-Monorepos.
- Erfahrung im Umgang mit Vektor-Datenbanken oder Self-Hosting von LLMs (Ollama/LocalAI) ist ein großer Pluspunkt.
- Der AI-Faktor: Du bist der „Prompt Architect“ des Teams für Infrastruktur. Du nutzt Modelle wie Claude Opus 4.6 Max und spezialisierte DevOps-Agenten, um operative Routinearbeit zu automatisieren, und konzentrierst Deine menschliche Intelligenz auf systemische Optimierungen sowie das Schaffen eines nahtlosen „Flow States“ für das Entwicklerteam.
- Der Gaming-Vorteil: Erfahrung im AAA-Game-Build-Engineering ist für uns besonders wertvoll. Wenn Du automatisierte Pipelines für komplexe, plattformübergreifende Assets und Codebases betreut hast, bei denen „Build Time“ und „Asset Cooking“ zentrale KPIs sind, bringst Du genau die DNA mit, die wir für diese High-Performance-Office-Suite suchen.
Benefits
- Hybrides Arbeitsmodell.
- Flexible Arbeitszeiten durch Vertrauensarbeitszeit.
- An einigen Standorten eine bezuschusste Kantine und verschiedene kostenfreie Getränke.
- Moderne Büroflächen mit sehr guter Verkehrsanbindung.
- Diverse Mitarbeiterrabatte für Aktivitäten und Produkte.
- Mitarbeiterevents wie Sommer- und Winterfeiern, sowie Workshops.
- Zahlreiche Weiterbildungs- und Entwicklungsmöglichkeiten.
- Verschiedene Gesundheitsangebote, wie Sport- und Gesundheitskurse.
Wir wertschätzen Vielfalt und begrüßen alle Bewerbungen – unabhängig von z. B. Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion, Behinderung, Alter sowie sexueller Orientierung und Identität, körperlichen Merkmalen, Familienstand oder einem anderen sachfremden Kriterium nach geltendem Recht.
Ready to apply?
Apply to STRATO DE
Senior Growth Engineer (f/m/x)
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The role
We are looking for a hands-on Senior Growth Engineer to design, implement, and manage scalable API integrations that connect HelloFresh with external partner ecosystems including telecoms, financial providers, loyalty programs, and health/wellness platforms.
This role combines technical execution (building and deploying APIs, data workflows, and automation) with project ownership (defining requirements, managing partners, ensuring delivery).
You will own integrations from design to production, delivering end-to-end partner connectivity that enables subscription bundling, loyalty rewards, account linking, and nutrition data exchange, all while maintaining reliability, compliance, and a seamless customer experience.
What you'll do
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Architectural Leadership: Design integration architectures aligned with HelloFresh’s core systems (account, billing, and loyalty domains). Establish standardized patterns and templates for scalable partner onboarding.
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End-to-End Delivery: Lead the full lifecycle of new partner integrations—from initial scoping and technical solution design to implementation and go-live.
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Technical Execution: Develop and deploy robust RESTful APIs (Python/FastAPI or Node.js) and webhooks to enable bundled subscriptions and account linking.
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Partner Ownership: Act as the primary technical point of contact for external partner engineering teams. Translate complex partner requirements into concrete technical specifications.
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Strategy & Optimization: Implement logic for revenue share and loyalty attribution, ensuring integrations are reliable, secure, and compliant with global standards (GDPR/PII).
What you'll bring
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Technical Skills: * Expertise in RESTful API development (Python with FastAPI preferred, or Node.js).
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Deep understanding of OAuth2 / OpenID Connect, webhooks, and secure token exchange.
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Strong experience in API design, documentation (Swagger), and testing.
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Proficiency with AWS cloud environments (Container Registry, Cloud Storage) and SQL/NoSQL databases.
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Preferred Experience: (One or more of the following)
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Background in B2B SaaS integrations, subscription commerce, or loyalty/fintech APIs.
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Experience managing integrations across multiple regions or complex billing systems.
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Soft Skills:
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Strong Ownership: Ability to independently drive technical projects from concept to production.
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Communication: Able to translate high-level technical concepts for non-technical stakeholders and partners.
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What we offer
Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.
- Immerse yourself in a diverse global community of 90+ nationalities.
- Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
- Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
- Invest in your growth with a German language learning budget, and access to the HelloFresh Academy.
- Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!
Are you up for the challenge?
Please submit your complete application below including your salary expectations and earliest starting date.
After submitting an application our team will review this and get back to you within 5 business days.
We are HelloFresh
At HelloFresh we embrace and welcome diversity and we currently employ over 15,000 individuals globally who contribute to this. We employ individuals based on their ability to perform a job rather than on the basis of their: race, national origin, color, caste, social origin or position, gender, gender expression, sexual orientation, religion, age, disability, political opinion, marital status or any other characteristic. We encourage everyone to apply and will give everyone equal consideration. We are an equal opportunity employer – everyone is welcome at our table.
Ready to apply?
Apply to HelloFresh
Growth Engineer (f/m/x)
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The Role
We are looking for a hands-on Growth Engineer to design, implement, and manage scalable API integrations that connect HelloFresh with external partner ecosystems including telecoms, financial providers, loyalty programs, and health/wellness platforms.
This role combines technical execution (building and deploying APIs, data workflows, and automation) with project ownership (defining requirements, managing partners, ensuring delivery).
You will own integrations from design to production, delivering end-to-end partner connectivity that enables subscription bundling, loyalty rewards, account linking, and nutrition data exchange, all while maintaining reliability, compliance, and a seamless customer experience.
What You'll Do
-
Integration Implementation: Build and maintain RESTful APIs and webhooks to connect HelloFresh with partner platforms for loyalty rewards and account linking.
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Execution & Support: Develop automation scripts and data workflows to handle recurring syncs and reporting for partner programs.
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Technical Documentation: Maintain high-quality API documentation and partner developer guides to ensure smooth onboarding.
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Reliability: Troubleshoot issues, manage error handling, and ensure the performance of existing integrations.
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Collaboration: Work cross-functionally with Product, Data, and Finance teams to implement business logic for revenue-sharing or benefit application.
What You’ll Bring
-
Technical Skills: * Solid experience with RESTful API development (Python/Node.js—familiarity with FastAPI is a plus).
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Good understanding of OAuth2, webhooks, and how to manage secure data exchange.
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Experience using API testing tools like Postman and documenting work via Swagger.
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Familiarity with AWS (containers) and working knowledge of SQL/NoSQL databases.
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Preferred Experience: * Interest or previous exposure to B2B SaaS, fintech, or subscription-based platforms.
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Familiarity with tools like Snowflake, Contentful, or N8N is a bonus.
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Soft Skills:
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Ownership Mindset: A proactive approach to completing tasks and ensuring code quality.
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Organizational Skills: The ability to manage multiple integration tasks and meet deadlines in a fast-paced environment.
-
What we offer
Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.
- Immerse yourself in a diverse global community of 90+ nationalities.
- Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
- Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
- Invest in your growth with a German language learning budget, and access to the HelloFresh Academy.
- Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!
Are you up for the challenge?
Please submit your complete application below including your salary expectations and earliest starting date.
After submitting an application our team will review this and get back to you within 5 business days.
We are HelloFresh
At HelloFresh we embrace and welcome diversity and we currently employ over 15,000 individuals globally who contribute to this. We employ individuals based on their ability to perform a job rather than on the basis of their: race, national origin, color, caste, social origin or position, gender, gender expression, sexual orientation, religion, age, disability, political opinion, marital status or any other characteristic. We encourage everyone to apply and will give everyone equal consideration. We are an equal opportunity employer – everyone is welcome at our table.
Ready to apply?
Apply to HelloFresh
Associate Director, Cloud FinOps Manager
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About the role
We are looking for a business-oriented leader to architect and own the financial operating model for our entire cloud infrastructure. This isn't a reporting role; you are the single-threaded owner responsible for optimizing one of the company's largest technology investments. Your mission is to transform our cloud spend from a complex cost center into a predictable, efficient engine for innovation. You will report to senior leadership and be empowered to support the negotiation of multi-million dollar contracts, drive cultural change across engineering, and provide the financial clarity required for strategic business decisions.
What You'll Do
- Cultural Change: Act as the evangelist for Cloud FinOps. Champion a culture of cost ownership across our engineering organization by empowering teams with the dashboards, insights, and training needed to make cost an integral part of their design and operating principles.
- Governance & Visibility: Architect a system of governance and accountability. Design and implement a universal resource tagging strategy, moving beyond simple reporting to create robust showback/chargeback models that give engineering teams true ownership of their spend.
- Optimization & Efficiency: Drive a company-wide optimization program. Go beyond "low-hanging fruit" to create a continuous optimization program, partnering with engineering to refactor applications for cost, adopt new pricing models, and eliminate systemic waste.
- Commercial Strategy & Negotiation: Develop and execute the strategy to lead negotiations with our cloud vendors, right-sizing our commitments to align with our business strategy and eliminating financial risk.
- Forecasting & Budgeting: Build and operate our data-driven forecasting model. Partner directly with the Tech and Finance organizations to eliminate spending volatility and provide the business with a reliable cloud budget and accurate forecast.
What You'll Bring
You are a seasoned leader who operates at the intersection of technology and finance. You are just as comfortable debating architectural trade-offs with a principal engineer as you are presenting a business case to a CFO. You are a strong team player who loves to share knowledge, enable others, and provide and receive feedback.
- Proven Experience: A track record of 7+ years in dedicated Cloud FinOps or Cloud Financial Management roles, with clear success in managing significant AWS spend.
- Mastery of Cloud Economics: Deep expertise in AWS cost structures, including the nuances of Savings Plans, Reserved Instances, Spot, and the Cost and Usage Report (CUR).
- Data-Driven Strategist: Exceptional analytical and financial modeling skills. You don't just create dashboards; you build data-driven business cases to influence executive-level decisions.
- Technical Credibility & Influence: You have hands-on experience and a proven ability to partner with engineering teams to optimize application architecture for cost. You can engage and communicate complex ideas effectively to both technical and non-technical stakeholders.
- Proven Negotiator: Demonstrable, material experience leading or participating in large-scale commercial negotiations with a major cloud vendor.
- Builder's Mentality: You have a proven track record of designing and building a Cloud FinOps practice from an early stage, creating process and strategy where none existed before. Proficiency with scripting (e.g., Python/Bash) and experience with third-party tools (e.g., Vantage, CloudHealth) are strong pluses.
Let’s cut to the cheese, this is why you'll love it here
- Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
- Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
- Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
- Family Benefits - A parental leave top-up program for expectant parents.
- Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
- Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
- Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
- Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
Flexible Hybrid Approach
At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience.
To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.
HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.
This is a posting for an existing vacancy. We are actively seeking to fill this position.
#LI-HYBRID
Ready to apply?
Apply to HelloFresh
Associate Director, Cloud FinOps Manager (m/f/x)
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About the role
We are looking for a business-oriented leader to architect and own the financial operating model for our entire cloud infrastructure. This isn't a reporting role; you are the single-threaded owner responsible for optimizing one of the company's largest technology investments. Your mission is to transform our cloud spend from a complex cost center into a predictable, efficient engine for innovation. You will report to senior leadership and be empowered to support the negotiation of multi-million dollar contracts, drive cultural change across engineering, and provide the financial clarity required for strategic business decisions.
What You'll Do
- Cultural Change: Act as the evangelist for Cloud FinOps. Champion a culture of cost ownership across our engineering organization by empowering teams with the dashboards, insights, and training needed to make cost an integral part of their design and operating principles.
- Governance & Visibility: Architect a system of governance and accountability. Design and implement a universal resource tagging strategy, moving beyond simple reporting to create robust showback/chargeback models that give engineering teams true ownership of their spend.
- Optimization & Efficiency: Drive a company-wide optimization program. Go beyond "low-hanging fruit" to create a continuous optimization program, partnering with engineering to refactor applications for cost, adopt new pricing models, and eliminate systemic waste.
- Commercial Strategy & Negotiation: Develop and execute the strategy to lead negotiations with our cloud vendors, right-sizing our commitments to align with our business strategy and eliminating financial risk.
- Forecasting & Budgeting: Build and operate our data-driven forecasting model. Partner directly with the Tech and Finance organizations to eliminate spending volatility and provide the business with a reliable cloud budget and accurate forecast.
What You'll Bring
You are a seasoned leader who operates at the intersection of technology and finance. You are just as comfortable debating architectural trade-offs with a principal engineer as you are presenting a business case to a CFO. You are a strong team player who loves to share knowledge, enable others, and provide and receive feedback.
- Proven Experience: A track record of 7+ years in dedicated Cloud FinOps or Cloud Financial Management roles, with clear success in managing significant AWS spend.
- Mastery of Cloud Economics: Deep expertise in AWS cost structures, including the nuances of Savings Plans, Reserved Instances, Spot, and the Cost and Usage Report (CUR).
- Data-Driven Strategist: Exceptional analytical and financial modeling skills. You don't just create dashboards; you build data-driven business cases to influence executive-level decisions.
- Technical Credibility & Influence: You have hands-on experience and a proven ability to partner with engineering teams to optimize application architecture for cost. You can engage and communicate complex ideas effectively to both technical and non-technical stakeholders.
- Proven Negotiator: Demonstrable, material experience leading or participating in large-scale commercial negotiations with a major cloud vendor.
- Builder's Mentality: You have a proven track record of designing and building a Cloud FinOps practice from an early stage, creating process and strategy where none existed before. Proficiency with scripting (e.g., Python/Bash) and experience with third-party tools (e.g., Vantage, CloudHealth) are strong pluses.
What we offer
Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.
- Immerse yourself in a diverse global community of 90+ nationalities.
- Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
- Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
- Invest in your growth with a German language learning budget, and access to the HelloFresh Academy.
- Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!
#IT
Ready to apply?
Apply to HelloFresh
Gemeinsam gestalten wir die Gesundheitsversorgung der Zukunft
Du bringst Leidenschaft für Technik, Service und die Zufriedenheit unserer Kund:innen mit und möchtest ein Team führen, das täglich einen echten Unterschied im deutschen Gesundheitswesen macht? Dann bist Du hier richtig.
Im Technical Services arbeitest Du an der Schnittstelle zwischen unserer Doctolib-Plattform und unseren Kund:innen in der deutschen Healthcare-IT-Landschaft. Als Manager:in des Technical Support Teams trägst Du die Verantwortung für Technical Services Engineers und sorgst gemeinsam mit ihnen dafür, dass unsere Kund:innen die bestmögliche Doctolib-Erfahrung machen.
Deine Aufgaben
- Verantwortung für die Effektivität und Effizienz der Aufbau- und Ablauforganisation im Technical Support - u.a. durch kontinuierliche Evaluierung von Performance und Prozessen
- Teamführung: fachliche und disziplinarische Führung sowie Weiterentwicklung von Technical Services Mitarbeiter:innen
- Reporting & Controlling: Du hast die Kennzahlen stets im Blick und nutzt sie, um den Technischen Service strategisch weiterzuentwickeln
- Qualitätsmanagement: Du analysierst Supportanfragen und leitest gezielte Maßnahmen zur Verbesserung der Zufriedenheit unserer Kund:innen ab
- Du arbeitest mit verschiedenen KI-Tools, um effektiv und effizient Problemlösungen zu erarbeiten und nachhaltiges Wissen im Team zu verankern
- Du förderst einen proaktiven Wissenstransfer an interne Teams zur Prävention technischer Herausforderungen und zur kontinuierlichen Steigerung der Servicequalität
Dein Profil
Um Teil unseres Teams zu werden, bringst Du Folgendes mit:
- Nachgewiesene Führungserfahrung im Technischen Support sowie umfassende Erfahrung im Team Management
- Erfahrung im Change Management sowie im Umgang mit verschiedenen IT-Systemen
- Kundenorientierte Denkweise und ausgeprägte Kommunikationsfähigkeiten - sowohl für technische Fachleute als auch für Nicht-Techniker:innen
- Sehr gute Deutsch- (mind. C1) und Englisch- (mind. C1) Kenntnisse
- Fähigkeit zur bereichsübergreifenden Zusammenarbeit
- Abschluss in Informatik, Ingenieurwesen oder einem verwandten Fachgebiet - oder vergleichbare Berufserfahrung
Besonders interessant sind für uns außerdem:
- Kenntnisse und Erfahrung im E-Health sowie mit PVS/EHR/PMS oder ähnlichen Anwendungen
- Erfahrung mit agilen Methoden
- Erfahrung in Konfliktmanagement und Verhandlungsführung
Was wir Dir bieten
- Ein von Doctolib gesponsertes Deutschlandticket, wenn Du aus dem Büro oder im Hybridmodus arbeitest
- Eine betriebliche Krankenversicherung mit tollen Zusatzleistungen
- 28 Urlaubstage + 1 Tag zusätzlich für jedes volle Beschäftigungs-Kalenderjahr (max. 30 Tage)
- Die Möglichkeit, bis zu 10 Tage im Jahr aus dem Ausland zu arbeiten
- Eine betriebliche Altersvorsorge (bAV) mit einem Arbeitgeberzuschuss von 40% (15% während der Probezeit)
- Das Doctolib Parent Care Programm, das einen Monat Elternzeit extra u.v.m. enthält
- Kostenlose Mental Health- und Coaching-Sessions über einen externen Partner
- Zusätzlich zu gesunden Snacks und einem regelmäßigen Frühstücksbuffet, bieten wir Essensgutscheine
- Ein gefördertes Sportangebot mit unserem Partner Urban Sports Club
- Für pflegende Betreuungspersonen und Beschäftigte mit Behinderungen gibt es ein Angebot, das flexiblere Arbeitszeiten, zusätzliche Freistellung aus medizinischen Gründen und psychologische Unterstützung beinhaltet
- KI im Alltag: Du arbeitest täglich mit modernsten KI-Systemen und hast direkten Einfluss darauf, wie sie sich weiterentwickeln
Der Interviewprozess
- Erstes Gespräch mit Talent Acquisition
- Technical Assessment (Take Home) & Interview mit der Fachabteilung
- Case Study (Take Home) & Finales Interview mit dem Management
- Interview mit dem Team
- Mindestens eine Referenzprüfung
Job Details
- Festanstellung
- Vollzeit
- Berlin
- Ab sofort
- Hybrid erlaubt
Wir verfolgen die Vision, die Gesundheit aller zu verbessern. Dies spiegelt sich auch im Recruiting wider. Wir evaluieren Bewerbungen ausschließlich auf der Grundlage von Qualifikation und Motivation. Diskriminierung wird bei uns nicht toleriert. Je diverser unser Team und die Ideen sind, desto mehr wird unser Produkt die Gesundheit unserer Nutzer:innen verbessern können. Deshalb laden wir Dich ein, Dich bei uns zu bewerben, unabhängig von Geschlecht, Religion, Alter, sexueller Orientierung, ethnischer Herkunft oder Behinderung.
Um Chancengleichheit zu gewährleisten, kannst Du in deiner Bewerbung auf Angaben wie Fotos, Alter, etc. verzichten. Lass uns bitte wissen, welche Vorkehrungen wir treffen können, um Dich bestmöglich zu unterstützen.
Wir freuen uns, mit Dir das Gesundheitswesen zu digitalisieren!
Alle bereitgestellten Informationen werden von Doctolib für das Bewerbungsmanagement verarbeitet. Für Details zur Datenverarbeitung klicke bitte hier. Bei Fragen oder wenn Du Deine Rechte wahrnehmen möchtest, wende Dich bitte an hr.dataprivacy(at)doctolib.com.
Ready to apply?
Apply to Doctolib
Who we are
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
The role
Our Ground to Air HMI enables air forces to operate autonomous systems in missions. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations – from mission planning to command and control (C2) and mission debrief – so must be both reliable and frictionless.
Taken together, this brings a whole host of interesting backend and frontend engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:
-
Distributed systems (e.g., intermittent connectivity and eventual consistency)
-
Human-autonomy teaming (e.g., HMIs for effective human oversight and control)
-
Networking (e.g., long-range low-bandwidth radios and cross-medium routing)
-
Real-time interfaces (e.g., tactical situation display and streaming sensor feeds)
-
Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)
-
Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)
-
Machine learning (e.g., systems for model development, storage, and dissemination)
In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.
The day-to-day
-
Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
-
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
-
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
-
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.
-
Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust, Python, and TypeScript, with Python mainly living in the ML-heavy sections, TypeScript being used in our UIs, and Rust being used in backends, onboard, and embedded software.
-
Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
-
Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirreling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.
You should apply if you
-
Can write legible, maintainable, and performant code.
-
Communicate well in English, both verbally and in writing.
-
Enjoy collaborating with others, including reviewing code and pair programming.
-
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
-
Are familiar with backend interface tools like REST APIs, webRTC, gRPC/Protocol Buffers, and Arrow.
-
Strive to improve yourself, your peers, and the culture you work in over time.
-
Feel like ethical considerations are an inherent part of engineering.
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Nice to have
-
Development experience with a language like Rust, Java, Go, or C++.
-
State-of-the-art experience with frameworks like React.
-
Experience in designing long-lived protocols and data schemas for system integration.
-
Enjoy designing data-heavy UIs and have strong prototyping skills.
-
Experience building aviation software according to DALs and standards like DO-278.
-
Knowledge about NATO UCS standards like STANAG 4586/AEP-84.
-
Knowledge about Metrics tooling (e.g., Prometheus, Grafana, ELK).
-
Experience with production ML systems.
Join Helsing and work with world-leading experts in their fields
-
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
-
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
-
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
-
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
-
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
What we offer
-
A focus on outcomes, not time-tracking
-
Competitive compensation and VSOP options
-
Relocation support
-
Social and education allowances
-
Regular company events and all-hands to bring together employees as one team across Europe
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Who we are
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
The role
Our Autonomous Air System V&V team builds the simulation and validation environments that enable rigorous testing of autonomous air systems before they ever leave the ground. We develop Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) environments that allow engineers to integrate, test, and assure AI-driven capabilities against virtualised and representative hardware.
We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations – from mission planning to command and control (C2) and mission debrief – so must be both reliable and frictionless.
Taken together, this brings a whole host of interesting backend engineering challenges across a wide variety of fields that you'll help us solve. To give some examples:
-
Simulation frameworks (e.g., high-fidelity SiL/HiL environments, real-time and deterministic simulation)
-
Test automation (e.g., fault injection, automated test coverage, regression testing at scale)
-
Hardware-software integration (e.g., testing against representative hardware, sensor and actuator interfaces)
-
Real-time and high-performance computing (e.g., concurrency, low-latency execution, profiling and optimization)
-
Distributed systems (e.g., orchestrating complex multi-component test environments)
-
Deployment infrastructure (e.g., air-gapped devices and heterogeneous test rigs)
-
Machine learning (e.g., systems for testing and validating AI/ML model behaviour)
In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.
The day-to-day
-
Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
-
Design and develop modules in simulation and validation frameworks, writing high-performance Rust code for simulators and test infrastructure.
-
Build tools for automated test coverage, fault injection, and regression testing to ensure comprehensive validation of autonomous systems.
-
Work closely with autonomy and systems teams to capture requirements and ensure simulation environments accurately represent real-world conditions.
-
Debug and profile simulation performance, identifying bottlenecks and optimizing for speed, determinism, and fidelity.
-
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
-
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
-
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller "let's learn together" groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.
-
Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is primarily Rust and Python.
-
Maintain documentation and testing infrastructure, ensuring that our simulation environments are well-documented and accessible to other teams.
-
Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
-
Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirreling away at something that doesn't matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.
You should apply if you
-
Write modern, maintainable Rust.
-
Have experience in simulation, testing, robotics frameworks or autonomous driving.
-
Are comfortable with complex systems and concurrency.
-
Care about reliability, performance, and safety.
-
Enjoy working on the interface between software and hardware.
-
Are motivated by fast feedback loops and real impact.
-
Can write legible, maintainable, and performant code.
-
Communicate well in English, both verbally and in writing.
-
Enjoy collaborating with others, including reviewing code and pair programming.
-
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
-
Strive to improve yourself, your peers, and the culture you work in over time.
-
Feel like ethical considerations are an inherent part of engineering.
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Nice to have
-
Aerospace or automotive background.
-
Software/Hardware-in-the-loop or simulation experience.
-
Experience building test rigs or ground-based integration systems.
-
Knowledge of flight dynamics or control systems.
-
Exposure to AI/ML systems testing.
-
Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).
-
Metrics tooling (e.g., Prometheus, Grafana, ELK).
-
Production ML systems.
Join Helsing and work with world-leading experts in their fields
-
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
-
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
-
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
-
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
-
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.
What we offer
-
A focus on outcomes, not time-tracking
-
Competitive compensation and VSOP options
-
Relocation support
-
Social and education allowances
-
Regular company events and all-hands to bring together employees as one team across Europe
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing
Who we are
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
We are an ambitious and committed team of engineers, AI specialists and customer-facing program managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
The role
You’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight. At Helsing, you won't just be developing software; you'll be integrating state-of-the-art reinforcement learning agents into the operational systems of our own Unmanned Combat Aerial Vehicle (UCAV), the CA-1 Europa, part of the groundbreaking Centaur project. This is a unique opportunity to directly contribute to a novel autonomous system designed from the ground up.
Working at the intersection of machine learning and systems engineering, you'll integrate reinforcement learning agents into high-performance runtime systems, enabling real-time autonomous decision-making in flight. This isn't theoretical; your code will enable the CA-1 Europa to perceive, reason, and act autonomously in the most demanding environments.
What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so it must be both reliable and frictionless. To give some examples:
-
Autonomous Decision-Making Systems — reliable pipelines from sensor data to RL inference to tactical execution, including edge-case and failure-mode handling.
-
Reinforcement Learning Integration — bridging Python-based RL agents with Rust runtime systems for low-latency, reproducible inference.
-
Distributed Systems & Communications — handling intermittent connectivity and bespoke hardware protocols.
-
Training Infrastructure — distributed training, evaluation pipelines, and large-scale runs on custom simulators.
In some areas, we're working at the state-of-the-art—actively implementing research papers and pushing further. In others, we're applying proven techniques to real-world situations they've never encountered before. Both require skill, diligence, and deep technical understanding.
Our software operates under significant constraints, in constantly-changing environments, for users in high-risk situations. It must be reliable and frictionless. That's what makes this work hard—and worth doing.
The day-to-day
-
Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.
-
Further develop our tests and benchmarks, both at the micro and macro level, including hardware-in-the-loop (HIL) simulations and flight testing. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.
-
Review code contributions, proposals, and RFCs from colleagues, ensuring robustness and adherence to safety and performance standards critical for airborne applications. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.
-
Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack, with a focus on refining the capabilities and reliability of our airborne mission systems. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.
-
Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.
-
Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.
You should apply if you
-
Can write legible, maintainable, and performant code.
-
Communicate well in English, both verbally and in writing.
-
Enjoy collaborating with others, including reviewing code and pair programming, particularly on complex system architectures involving tight hardware-software integration on a real-world aerial platform.
-
Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).
-
Have strong backend or embedded development experience, ideally with a language like Rust, Go, or C++.
-
Feel comfortable working with Python with the ML-heavy sections of the stack.
-
Strive to improve yourself, your peers, and the culture you work in over time.
-
Feel like ethical considerations are an inherent part of engineering.
Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
Nice to have
-
Rust and Python specifically.
-
Experience in deploying Reinforcement Learning or Machine Learning agents in real-world systems
-
Safety Programming Experience
-
Familiarity with low-level flight control systems and their interfaces, even if not directly developing them.
-
Experience with sensor integration (IMUs, GPS, Lidar, Cameras) and sensor fusion techniques for navigation.
-
Robotics (e.g., control systems).
-
Production ML systems.
-
Hardware interfaces (e.g., Arduino).
Join Helsing and work with world-leading experts in their fields
-
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
-
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world
-
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward
-
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts
-
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about
What we offer
-
A focus on outcomes, not time-tracking
-
Competitive compensation and VSOP options
-
Relocation support
-
Social and education allowances
-
Regular company events and all-hands to bring together employees as one team across Europe
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Ready to apply?
Apply to Helsing