Ambrosys Careers Opportunities

About The Position

At Ambrosys, we build data-driven systems for complex mobility and urban infrastructure challenges (B2B/B2G), including traffic insights, geolocation, tolling, and smart city solutions.

In this role, you’ll contribute to a real-time data platform for traffic insights, processing large-scale streaming data. You’ll work on production systems with real-world impact, collaborating closely with engineers and stakeholders in a low-bureaucracy, generalist environment.

What you will do:

• Design, build, and operate components of a real-time data platform (streaming pipelines, backend services, data products)
• Take ownership of well-defined services or components, including reliability, performance, and data quality
• Contribute across the stack (backend systems, data pipelines, domain-specific components)
• Collaborate with product and domain stakeholders to implement pragmatic technical solutions
• Contribute to engineering practices (testing, code reviews, incident learnings, delivery)

Qualifications And Requirements

What you bring

• Experience building production-grade software systems (typically 4–6+ years)
• Strong programming skills in Python and/or Java/Scala
• Experience with distributed systems (APIs, scalable services, async processing)
• Hands-on experience with streaming/data systems (e.g., Kafka, Flink)
• Solid approach to code quality, testing, and maintainability
• Comfortable working in cross-functional teams with engineers and stakeholders
• Ability to communicate technical concepts and trade-offs clearly in English and German

Nice to have

• Data correctness patterns (schemas/contracts, idempotency, backfills)
• Cloud-native environments (containers, orchestration, IaC)
• Mobility, geospatial, or regulated domain experience
• Experience using AI-assisted engineering tools
• Exposure to MLOps or data-driven systems in production

Why Us?

As a new member of our team, you can look forward to:

• Exciting and diverse tasks and close collaboration in small teams
• A flexible work schedule and location, with up to 4 days a week from home
• The ability to work from abroad for a total of 10 days per year
• A personal training and career development plan, including a generous €1,500 yearly learning budget for further education
• Regular company and team events, including our monthly meetup to connect, exchange ideas, and have fun together
• A flat hierarchy and open communication channels with direct access to the CEO
• A dedicated feel-good manager providing best-in-town coffee, refreshments, fresh fruit/vegetables, snacks, and a monthly company breakfast
• Optional bike leasing with a discount for a stress-free commute
• A subsidised Deutschlandticket for easy commuting
• Additional days off for special occasions or if your child is ill

Compensation Range: €76,860 – €90,653 total compensation (including bonuses), with room to grow as you and the company develop, subject to annual adjustments in line with inflation rate.

As an equal opportunities employer, we welcome and value diversity and inclusivity. We encourage applications from all qualified individuals, regardless of gender, sexual orientation, origin, religion, belief, or age.

Important note: We manage our recruitment process entirely in-house and do not collaborate with external recruiters. Please refrain from sending unsolicited profiles or outreach.

What you bring

• Experience building production-grade software systems (typically 4–6+ years)
• Strong programming skills in Python and/or Java/Scala
• Experience with distributed systems (APIs, scalable services, async processing)
• Hands-on experience with streaming/data systems (e.g., Kafka, Flink)
• Solid approach to code quality, testing, and maintainability
• Comfortable working in cross-functional teams with engineers and stakeholders
• Ability to communicate technical concepts and trade-offs clearly in English and German

Nice to have

• Data correctness patterns (schemas/contracts, idempotency, backfills)
• Cloud-native environments (containers, orchestration, IaC)
• Mobility, geospatial, or regulated domain experience
• Experience using AI-assisted engineering tools
• Exposure to MLOps or data-driven systems in production