Roland Berger · IT & Software
Full Stack Developer (m/w/d)
Diese Stellenanzeige ist auf Englisch verfasst.
- Standort
- München
- Anstellung
- Vollzeit · Unbefristet
- Erfahrung
- Berufserfahren
Aufgaben bei uns im Team
- Design and implement APIs, core domain logic and integrations, and enable evaluation and finetuning workflows.
- Collaborate with DevOps, architects and GenAI engineers to deliver robust systems from PoV to large-scale deployment.
- Develop in Python and modern front-end frameworks, with clean interfaces, robust testing, performance-oriented design, clear documentation and ownership.
- Build and wire front ends for agentic systems, ensuring excellent UX, proper logging, monitoring, tracing, scalability patterns and responsible AI guardrails by design.
Was uns überzeugt
- Degree in Computer Science/Engineering or equivalent experience.
- 4+ years of experience building production-level code in full-stack environments with strong software engineering fundamentals.
- Proficiency across backend (Python, Rest API design, GraphQL, MCP, async/event-driven programming, performance tuning), frontend (React, Next.js) and database (Redis, Postgres).
- Proven ability to build secure, scalable architectures with logging, monitoring, tracing and service reliability best practices.
- Hands-on experience of modern DevOps practices, including CI/CD pipelines, Git-based workflows, Docker and cloud deployment/delivery (Azure preferred).
- Strong understanding of data modeling and integrations (SQL/NoSQL/object stores), as well as integration with third-party systems.
- Familiarity with LLM/agent runtimes, including tool calling, orchestration and evaluation loop design.
- Team working spirit and excellent communication skills in English.
- An entrepreneurial mindset with a winning personality.
- Submission of a CV, high school diploma, certificates of all academic degrees, work certificates including internships, as well as proof of semesters abroad via the online portal.
Skills
- Production-level code in full-stack environments
- Strong software engineering fundamentals
- Backend development with Python
- REST API design
- GraphQL
- MCP
- Async/event-driven programming
- Performance tuning
- Frontend development with React and Next.js
- Database development with Redis and Postgres
- Secure, scalable architectures
- Logging, monitoring and tracing
- Service reliability best practices
- Modern DevOps practices
- CI/CD pipelines
- Git-based workflows
- Docker
- Cloud deployment/delivery
- Data modeling
- Integrations with SQL/NoSQL/object stores
- Integration with third-party systems
- LLM/agent runtimes
- Tool calling
- Orchestration
- Evaluation loop design
- Team working spirit
- Excellent communication skills
Ausbildung
- Degree in Computer Science/Engineering or equivalent experience
Sprachen
- English
Erfahrung
- ab 4 Jahren
Häufige Fragen zu dieser Stelle
Die Aufgaben umfassen das Design und die Implementierung von APIs, core domain logic und Integrationen sowie die Ermöglichung von evaluation and finetuning workflows. Sie arbeiten mit DevOps, Architekten und GenAI engineers zusammen, um robuste Systeme von PoV bis zur large-scale deployment zu entwickeln. Außerdem entwickeln Sie in Python und modernen Front-end-Frameworks mit clean interfaces, robust testing, performance-oriented design, clear documentation und ownership. Sie bauen Frontends für agentic systems und stellen UX, logging, monitoring, tracing, scalability patterns sowie responsible AI guardrails by design sicher. Die Stelle richtet sich an Berufserfahrene.
Der Arbeitsort ist München. Als Adresse ist Munich, BY, Germany angegeben.
Die Stelle ist in Vollzeit und unbefristet ausgeschrieben.
Vorausgesetzt werden ein Degree in Computer Science/Engineering or equivalent experience und 4+ years of experience building production-level code in full-stack environments. Erwartet werden Kenntnisse in Backend development with Python, REST API design, GraphQL, MCP, Async/event-driven programming, React, Next.js, Redis und Postgres sowie in secure, scalable architectures. Hinzu kommen Erfahrungen mit modernen DevOps practices, CI/CD pipelines, Git-based workflows, Docker, Cloud deployment/delivery, LLM/agent runtimes, tool calling, orchestration und evaluation loop design. Erforderlich sind außerdem Team working spirit, excellent communication skills in English und an entrepreneurial mindset with a winning personality.
Die Bewerbung erfolgt über das online portal. Für Fragen ist Rosa Gerhardt als Kontaktperson genannt.
Fragen und Antworten mit AI erstellt
Rosa Gerhardt
Bereich: Digital Online seit 30.07.2026 Referenz: 744000132586729