Top Software Engineer Jobs in Germany

Design and develop the core vCluster Platform, focusing on Kubernetes internals, tenant isolation, container orchestration, and scalable resource-sharing systems. Build high-performance Go software, own features from technical design through release, solve complex systems-architecture problems, and contribute to open-source projects. The role requires autonomous technical leadership, active collaboration with the Kubernetes community, and experience in high-growth startup environments.

Design and build the vCluster Platform using Kubernetes internals and Go. Own features end to end from technical design through release, solve complex systems architecture problems, contribute to open-source projects, and develop scalable tenant isolation and resource-sharing solutions. The role requires autonomous technical problem solving, strong Kubernetes expertise, and participation in a high-growth startup environment.

Develop and maintain scalable engineering processes for Camunda 8, improving CI/CD, release health, dependency management, build efficiency, and developer experience. Lead AI-assisted engineering automation, including release management, dependency updates, and CVE remediation. Partner with infrastructure, software engineering, and leadership teams to identify workflow friction, implement engineering best practices, and optimize development velocity through metrics-driven improvements.

Develop and maintain C++ embedded software for Linux-based rail communication devices, including the TRACS distributed audio system. Translate customer requirements into reusable product features, troubleshoot and resolve software issues, own technical components, estimate development efforts, document solutions, and improve product quality. Collaborate with international project, product, bid management, and engineering teams on configuration, integration, and technical clarifications.

The Senior Software Engineer will enhance the core product by developing features and tools for Chainguard Images, collaborating with teams and ensuring product quality.

Own and design high-impact components of Chainguard's container image platform. Build and improve image build systems, tooling, and services at scale. Drive technical direction, participate in roadmap planning, collaborate cross-functionally, and mentor engineers to raise engineering quality.

Build and operate production data and machine learning systems for algorithmic pricing. Responsibilities include designing scalable pipelines, enabling model training and deployment, productionizing models, monitoring performance, managing Databricks and Kubernetes workloads, creating dashboards and alerts, and translating business requirements into reliable software. The role also emphasizes testing, code review, CI/CD, observability, system reliability, and collaboration with scientists, product managers, engineers, and commercial stakeholders.

Build and scale backend services for GetYourGuide’s User Platform, including traveler identity, context, and predictive data systems. Design reliable solutions, run A/B experiments, maintain code quality, contribute to architecture and roadmap strategy, mentor engineers, and participate in hiring. Collaborate with engineers, designers, and analysts while using Java, Spring Boot, databases, GraphQL, Kafka, and Kubernetes.

Develop embedded software for autonomous UAV systems, including PX4 autopilot features, drivers, navigation and control systems, hardware integrations, simulation, and testing. Collaborate on robotic systems, support OEM and customer integrations onsite, and maintain reliable software across RT and Linux platforms.

Build and operate scalable, event-driven trading-platform backend services using Kotlin, Java, and Spring Boot. Responsibilities include modeling trading workflows, integrating with trading venues, designing APIs, ensuring performance and reliability, managing persistence, and contributing across architecture, testing, deployment, monitoring, security, and auditability. The role requires production ownership in an agile, cloud-native environment.

Build and operate scalable, reliable trading-platform backend services using Kotlin, Java, and Spring Boot. Design event-driven systems supporting the full trading lifecycle, integrate with internal platforms and external venues, and ensure performance, availability, security, and auditability. Collaborate with product, operations, risk, and engineering teams while owning architecture, implementation, testing, deployment, monitoring, and continuous improvement in a cloud-native environment.

Build and maintain high-performance differentiable simulation software for open and closed quantum systems using Julia and Python. Develop model-learning, parameter-inference, neural-network PDE-solving, and optimisation methods. Benchmark research methods, improve performance and reliability, collaborate with university faculty, publish results, supervise students and interns, and contribute to teaching materials.

Design, implement, test, and ship Firefox security and hardening features for enterprise users. Improve browser security architecture across operating systems, including privilege isolation, trust boundaries, cryptographic protocols, WebPKI, and security-sensitive APIs. Investigate security issues, resolve root causes, and improve reliability, performance, memory usage, and correctness in a complex multithreaded codebase.

Build and own production-grade applied AI and agentic systems, including workflow services, APIs, retrieval, tool integrations, evaluation harnesses, observability, and operational tooling. Design distributed systems, data pipelines, and event-driven services; develop Python software; benchmark reliability and performance; debug AI, infrastructure, and GPU environments; and collaborate across global engineering teams to turn prototypes into reusable, deployed production capabilities.

Build and operate production data pipelines, Python services, APIs, database systems, monitoring, tests, and data quality checks. Work across batch and near-real-time workloads while improving the performance, reliability, and cost efficiency of a large data warehouse. Own ambiguous engineering problems from concept through production, using Python, SQL, and databases such as PostgreSQL or MongoDB.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

Develop production-grade Rust and Go control-plane microservices, Kubernetes operators, reconciliation engines, and APIs for AI infrastructure. Design distributed systems, integrate datacenter networking and DPU platforms, implement observability with OpenTelemetry, and perform root-cause analysis. The role requires strong async concurrency, reliability, testing, architecture documentation, and cross-functional design skills, with opportunities to work on open-source cloud-native bare-metal orchestration systems.

Develop and operate scalable Java microservices using Spring Boot, REST APIs, event-driven systems, PostgreSQL, AWS, and Kubernetes. Own features through design, testing, deployment, monitoring, and production support. Contribute to distributed-system architecture, technical strategy, code reviews, and CI/CD automation. Collaborate with product and frontend teams, mentor engineers, lead technical discussions, and identify continuous improvements while delivering reliable partner-facing products.

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 and own automated test infrastructure for NeuraGym’s robotics simulation and training platform. Validate physics, sensors, robot models, APIs, workflows, simulation fidelity, reproducibility, and sim-to-real behavior. Develop unit, integration, system, and regression tests; integrate validation into CI/CD; analyze failures and performance; document results; and collaborate with software, robotics, AI, and platform teams. Mentor engineers and improve quality processes across the product lifecycle.

Lead architecture and development of software controlling laboratory instruments and robotic platforms for drug discovery. Build instrument drivers, APIs, middleware, agentic systems, digital twins, and integrations with LIMS and ELNs. Define technical roadmaps and scalable architectures, advise engineers, and partner with scientists. Optimize laboratory scheduling and workflow execution using AI techniques such as reinforcement learning and reasoning. Ensure systems are robust, monitored, error-resilient, and production-ready.

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.

Design, develop, and maintain software platforms for stellarator simulation and design. Automate large-scale simulation workflows, manage cloud-based data storage, build web applications for collaboration and discovery, and integrate AI tools. Work closely with researchers to apply simulation tools, guide users, and co-develop applications that accelerate fusion R&D.

Design, build, operate, and scale software platforms supporting the machine learning lifecycle. Responsibilities include developing ML pipelines, deploying and optimizing models for cloud and edge environments, managing secure data platforms, building REST APIs and internal tools, implementing testing and CI/CD, and maintaining production ML tooling. The role also involves architecture, automation, stakeholder management, requirements engineering, and technical decision-making.

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.