Senior Full Stack Engineer (m/f/d)
On-siteBerlin, State of Berlin, Germany
Job Summary
Design and build full-stack features powering campaign management, reporting, and marketplace optimization, ranging from responsive web front-ends to back-end services and APIs. Select the right language and tools for each problem, pushing complex computational logic and heavy algorithmic weight into robust, scalable back-end services while maintaining lightweight front ends. Build and consume well-designed APIs that integrate DT products into a unified architecture rather than isolated silos. Own your services in production, including testing, observability, performance, and on-call rotation, treating quality as a whole-team responsibility. Collaborate directly with product leads and stakeholders to contribute to scoping, estimation, and technical decisions within your autonomous pod. Mentor teammates and raise engineering standards through code review, automation, and pragmatic architecture.
Required Qualifications
- 8+ years building and shipping production platforms
- heavy skew toward backend architecture, system design, and code optimization
- Strong algorithmic fundamentals, data structures, and a proven track record of solving complex data-processing or resource optimization problems
- Demonstrated ability to be effective in more than one language/ecosystem (e.g., TypeScript/JavaScript, Java, Kotlin, Python, Go, Scala, or C++)
- Solid command of modern front-end frameworks (e.g., React)
- Solid command of back-end service design
- Solid command of relational and/or distributed data stores (MySQL, PostgreSQL, and similar)
- Strong fundamentals in API design, data modeling, testing, and system design
- Comfort operating in a fast-paced, agile, ownership-driven environment with limited hand-holding
- Must be local to the posting location
Desired Qualifications
- Experience with cloud platforms (AWS or GCP), containers, and CI/CD
- Exposure to AdTech, dashboards/BI surfaces, or high-throughput data-driven products
- Experience integrating ML or data services into product workflows
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