Top Software Engineer Jobs in Munich

Design, develop, test, document, and troubleshoot complex software for semiconductor equipment components. Responsibilities include defining software specifications and test plans, implementing bug fixes, analyzing requirements, communicating with customers, and supporting simulators, test benches, and laboratory environments.

Build and operate business-critical clearing and settlement services using Kotlin, Java, and Spring Boot. Design distributed, event-driven cloud applications on AWS using ECS and Lambda, while implementing CI/CD, infrastructure as code, observability, automated testing, and secure production operations. Work in autonomous agile teams using Domain-Driven Design, own services from concept through production, and improve engineering quality, reliability, and developer experience within complex financial workflows.

Develop and optimize software for Linux-based embedded rail IoT devices and passenger information displays. Diagnose complex interactions across software, hardware, embedded platforms, and networks; improve reliability, performance, and maintainability; and support customer projects. Collaborate with systems, hardware, and test engineering teams while evaluating technologies and using AI-supported tools to improve troubleshooting and engineering efficiency.

Join a cross-functional team developing and expanding Scalable Capital’s new fintech product. Responsibilities include building and operating a digital brokerage platform using modern software practices such as agile development, continuous integration and deployment, test automation, cloud infrastructure, and potentially distributed or microservice architectures. The role requires analytical problem-solving, clear communication, and a commitment to well-architected, testable, and documented code. Based in Berlin or Munich.

Leads end-to-end software testing and validation for diagnostic AI and medical image analysis tools. Develops Python and PyTest automation, integrates tests into CI/CD and Docker environments, performs UI and API testing, manages traceability and validation evidence, analyzes requirements and regression scope, and triages defects using Jira and Xray. Collaborates with developers, data scientists, product owners, and quality teams in regulated GxP and medical device environments.

Lead end-to-end software testing and validation for diagnostic AI and medical image analysis tools. Build Python and PyTest automation frameworks, integrate tests into CI/CD and containerized environments, perform UI and API testing, manage defects, and maintain traceability and audit-ready validation evidence. Apply risk-based testing and impact analysis in GxP and medical-device regulated environments while collaborating with developers, data scientists, product owners, and quality teams.

Owns the technical direction and architecture of SIXT’s Revenue Management systems. The role leads distributed, high-volume commercial decisioning platforms; defines service boundaries, data flows, quality standards, observability, testing, and safe operation of agentic components. It requires hands-on backend engineering, technical leadership across teams, production incident expertise, written design communication, and experience building or operating LLM-based systems in pricing, revenue management, or related commercial domains.

Build and operate full-stack systems for an AI-powered offensive security platform. Responsibilities include developing React frontends, TypeScript APIs, Kotlin and Go backend services, deploying on AWS, designing scalable systems, optimizing databases, supporting production, and owning features from concept through deployment. The role involves close collaboration with AI and security researchers in a fast-paced remote startup.

Design and implement large-scale browser-based rendering infrastructure to execute and extract structured content from JS-heavy web apps. Improve rendering quality, performance, cost, and throughput at internet scale and productionize rendering research.

Build browser infrastructure and tooling to provide reliable, large-scale web access for an agent-native search platform. Research website-browser interactions, fingerprinting, client verification, and browser networking. Implement instrumentation, observability, debugging tools, and translate findings into production systems at internet scale.

Design, develop, and maintain high-quality web applications using CodeIgniter and PHP. Collaborate with cross-functional teams to define and ship features, ensure application performance and quality, identify and fix bugs, and maintain code quality and automation.

Design, build, and operate scalable Java and Spring Boot backend services across mobility products and shared platforms. Lead cross-team architecture and technical initiatives, improve reliability, observability, performance, security, testing, and developer experience, and collaborate with product and engineering teams. Mentor engineers and use AI-assisted development tools responsibly in a cloud-native Kubernetes environment.

Build and maintain Java components in a PostgreSQL ecosystem, including client libraries, database proxies, schema tools, and sharding solutions. Own component reliability, performance, security, provisioning, and operations while collaborating with infrastructure and downstream teams. Work with Terraform, Kubernetes, containerization, distributed systems, testing, monitoring, and infrastructure-as-code. Document architecture and operational processes, and potentially maintain forks of open-source projects.

Develop high-performance Go backend services for Workato’s AI platform, including chatbot dispatching, routing, synchronous and asynchronous execution, logging, and monitoring. Build scalable, highly available distributed systems and collaborate with Infrastructure, SRE, and AI teams. Responsibilities include full lifecycle development, testing, debugging, architectural improvement, and evaluating new technologies.

Develop and own guidance, navigation, and control systems for an orbital launch vehicle. Responsibilities include architecting navigation systems, tuning algorithms using flight data, monitoring flight and ground integrity, managing vehicle GNSS applications, and conducting GNSS integrity studies. The role requires expertise in inertial navigation, Kalman filters, GNSS testing, spoofing and jamming resilience, MATLAB, Python, C++, and technical documentation.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Develop and maintain business-critical financial services using Kotlin, Java, and Spring Boot. Collaborate with cross-functional teams while learning Domain-Driven Design, agile practices, testing, CI/CD, AWS cloud-native development, containerized services, event-driven workloads, infrastructure as code, observability, and secure software delivery. Contribute to resilient, compliant production workflows and continuous improvement with guidance from experienced engineers.

Design and build flight simulation environments connecting simulators with autonomy and onboard software. Develop plugins, interfaces, and bridges for realistic flight behavior, sensor data, and mission scenarios. Enable software-in-the-loop and hardware-in-the-loop testing for GNC, embedded, and autonomy teams. Own simulation architecture, engineering quality, testing, debugging, code reviews, and collaboration across teams.

Architect, develop, and scale cloud services, dashboards, and data pipelines to support robotics and autonomous vehicle telemetry. Integrate IoT devices with Azure services, build APIs/microservices, implement observability and CI/CD, validate systems in lab and field, and mentor junior engineers.

Build front-end experiences and backend services for integrating prediction markets into MetaMask. Develop scalable APIs, real-time data feeds, transaction signing, and secure on-chain protocol integrations. Optimize performance, security, and high-volume transaction throughput across mobile, web, and browser clients while collaborating within an agile, distributed engineering team.

Develop and maintain cross-platform C++ and Qt software for network device discovery, monitoring, and data collection across Windows and Linux. Build high-performance asynchronous and concurrent systems using network and device-management protocols such as SNMP, SSH, ICMP, and WMI. Own testing, troubleshoot complex application and network issues, optimize reliability and performance, and collaborate with backend, UI, QA, and product teams.

Build and operate backend pricing systems for real energy contracts. Responsibilities include designing the Pricing API, consolidating pricing logic, improving quote speed, implementing error handling and observability, creating alerting, explaining pricing failures, and supporting live incidents. The role requires production Python backend experience, FastAPI, SQL, data-heavy systems, end-to-end project ownership, and AI-assisted development workflows.

Build and maintain developer tools across SDKs, React Email, CLI, MCP, integrations, and supporting backend services. Collaborate on APIs, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable interfaces, error handling, and backward-compatible experiences. The role also involves operating systems with authentication, retries, rate limits, queues, monitoring, and error recovery.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.