Top Software Engineer Jobs in Munich

Design and implement complex customer-facing frontend features using TypeScript and React. Provide technical leadership, mentor junior engineers, drive frontend architecture and best practices, improve performance and accessibility, partner with product/design, integrate with backend APIs, and manage technical debt and scalability.

Design, develop, and maintain scalable Python/Django backend services and RESTful APIs for financial products. Implement data models, write tests, optimize performance, ensure availability and security, participate in code reviews, and collaborate with cross-functional teams to deliver features and maintain production systems.

Design, implement, and operate scalable, multi-cloud distributed infrastructure and core services (TypeScript, Kotlin, Go). Optimize compute, storage, networking, and observability; support event-driven architectures; own end-to-end deployment and production reliability; implement disaster recovery and business continuity; collaborate with engineering, AI and security researchers to enable high-velocity product development.

Join a hybrid London-based team to build full-stack systems that accelerate foundation model research and deployment. Responsibilities include backend and frontend development, prototyping, CI/CD and deployment pipelines, data pipelines, 3D geometry processing and tooling for model evaluation, and close collaboration with research, ML, and infrastructure teams in fast-moving, ambiguous environments.

Contribute to desktop and cloud reality-capture software by implementing features and bug fixes in C++. Write clean, tested code, assist debugging, participate in code reviews and Agile ceremonies, and use tools like Git, JIRA, and CI/CD while learning from senior engineers.

Build and iterate on practice-first learning experiences and AI tutor features. Contribute to architecture, review code, debug and unblock teammates, and collaborate closely with Product and Design to deliver high-quality learning products.

Lead platform bring-up and validation of Wayves AI stack on automotive hardware. Port and configure Linux/QNX/AUTOSAR systems, integrate drivers and middleware, automate flashing and tests, and collaborate with OEMs, Verification, and Release teams to ensure robust CI/CD and hardware integration.

Lead design and ownership of shared libraries, Spring Boot starters, and agentic frameworks. Set standards for agent orchestration, evaluations, and guardrails. Mentor teams on Python-based agents (LangChain/LangGraph), drive adoption, prototype research directions, and improve developer experience across Kotlin backend and client libraries.

The Senior Software Engineer will lead the design of a new data processing platform, build data pipelines, own data extraction services, and provide technical leadership while improving existing systems for the development team.

Responsible for designing and implementing features for unit testing frameworks and optimizing code within the ReSharper team, ensuring high performance and collaboration with various teams.

The Software Engineer will build database infrastructure, solve complex distributed systems challenges, and work directly with customers to provide technical solutions.

Lead re-architecture and modernization of a legacy C++ execution kernel, diagnose and resolve memory/concurrency/performance issues in production, drive technical direction, mentor peers, and collaborate across teams to evolve the platform toward a more open, service-oriented design.

Staff SRE responsible for production reliability of Grafana Cloud database products (Mimir, Loki, Tempo, Pyroscope). Partner with product squads, own high-SLA tenant reliability, design SLOs, build automation, lead incident response and post-incident reviews, reduce SLO burn and alert noise, and influence scalable, operable feature designs.

As a Mid-Level Backend Engineer, you'll enhance the reliability, observability, and scalability of the EVC platform by building API integrations, improving system performance, and strengthening infrastructure.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

Join Canonical's OpenStack Engineering team to develop and manage Charmed OpenStack and Ceph, focusing on Python code and infrastructure automation.

The role involves collaborating with a distributed team to develop and debug software for Linux, focusing on high-quality code and system-level issues.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

Develop and maintain system-level Go code, model data, and design database schema for cloud infrastructures. Collaborate with a distributed team to ensure code quality.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The role involves developing quantum software, implementing post-quantum cryptographic algorithms, supporting hardware-software integration, and creating proof-of-concept demonstrations, while producing necessary documentation.

Design, develop, and maintain backend services in Kotlin. Build scalable, event-driven systems to process, validate, and expose financial data. Ensure data accuracy, traceability, and auditability. Collaborate with Product and Finance stakeholders, improve reliability and observability, and contribute to architecture and engineering best practices.

Design, implement, and maintain embedded, distributed software for railway passenger information systems. Translate customer requirements into architectures and reusable modules, ensure security and CI/CD alignment, collaborate with systems engineers, review deliverables, and build tooling to improve developer productivity.

The role involves designing and maintaining infrastructure, ensuring the reliability of Kubernetes clusters, automating operations, and supporting machine learning infrastructure.

Develop and enhance functionalities for a climate tech platform, engaging with product teams and improving team culture.