Top Software Engineer Jobs in Germany

The role involves designing and implementing machine learning capabilities for autonomous vehicles, focusing on perception, prediction, and planning systems. Engineers will work on software development processes from model creation to deployment, leveraging established products.

Lead the architecture, development, and delivery of scalable backend systems, APIs, data pipelines, and services supporting global 3D and computer vision applications. Drive technical direction, system performance, resiliency, observability, and maintainability. Mentor senior engineers, conduct architecture reviews, lead cross-functional initiatives, influence hiring and team growth, and shape engineering culture and long-term technical vision.

Build and scale the platform, integrations, and AI pipelines that run agent-driven workflows for industrial customers. Own backend services, APIs, enterprise connectors (SAP/Salesforce/PLM), CI/CD, observability, and high-throughput ETL to ensure reliability at industrial scale.

The Senior Software Engineer will design and develop high-quality web and mobile applications, ensuring code quality while collaborating with product teams and mentoring junior engineers.

As a Senior Software Engineer at Upvest, you will develop and enhance their Investment API, leveraging modern technologies in a collaborative product team environment.

Join Flix as a Senior Software Engineer to innovate and enhance mobility operations using your expertise in backend technologies and distributed systems.

Build and maintain user-facing features and interfaces for Restream web services. Design and implement UI and business logic, collaborate with product designers and engineers, perform code reviews, improve reliability and scalability, and evaluate emerging technologies.

Join the Kubernetes product team to design and implement Kubernetes operators and addons, write high-quality Golang and Python code, debug issues, collaborate with a distributed team, mentor colleagues, and contribute to open-source integration and lifecycle management. Travel 2–4 weeks yearly for team events.

Design and build scalable backend infrastructure and services for the Databricks platform, including distributed systems, cloud storage integrations (S3, Azure Blob), data pipelines (Spark), and developer tooling. Deliver high-performance, reliable services and client libraries, and collaborate on SaaS and service-oriented architecture to support large-scale platform usage.

Design, build, and operate production-grade generative AI systems: multi-agent orchestration, end-to-end RAG pipelines, LLM evaluation and integration, scalable AWS-based AI infrastructure, CI/CD for models, observability, data validation, and evaluation frameworks to ensure quality, attribution, and resilience.

Snowflake offers a Software Engineer Intern position focusing on software development in cloud data platforms, requiring programming skills and theoretical knowledge in computer science and data handling.

Build and maintain services and tooling to automate and secure network lifecycle across data centers. Implement CI/CD, staged rollouts, drift detection, observability pipelines, and APIs that integrate network source-of-truth with the cloud platform. Collaborate with network engineers and SREs to turn operational pain into production-grade automation and tooling.

Design, develop, operate, and evolve secure, scalable backend services for digital and printed ticketing. The role focuses on Java and Spring-based systems, event-driven and API-first integrations, cloud and Kubernetes environments, observability, performance, security, and AI-ready architecture. The engineer will help re-architect systems, support a product-oriented development culture, use modern AI capabilities responsibly, collaborate with stakeholders, and share technical knowledge.

Build and maintain a distributed, fault-tolerant, high-performance block and filesystem storage system. Work on virtualization (virtio-blk, virtio-fs, QEMU, vhost-user), high-throughput VM-to-storage networking (TCP, RoCEv2/RDMA), and core storage features like replication, consensus, self-healing, and data migration. Debug and optimize performance-critical I/O paths while writing reliable, maintainable code in a collaborative team environment.

Work on Percona's open-source MongoDB operational tools (primarily ClusterSync and also Backup). Build and harden a Go-based replication engine handling initial cloning and continuous change streams, ensure correctness and fault tolerance at scale, support sharded clusters, optimize performance and resource usage, and maintain CLI/HTTP APIs, metrics, logging, tests, and packaging. Collaborate openly via GitHub pull requests and JIRA.

Develop, enhance, and maintain aviation product solutions as part of an agile Scrum team. Participate across the full development lifecycle using SAFe, create APIs and business services, design and optimize product architecture, produce scalable enterprise-quality code, and mentor junior developers through code reviews and pairing.

Design, develop, test, deploy, maintain, and improve software. Translate designer mockups into performant React components, contribute to architecture and performance optimizations, review and refactor code, and collaborate with cross-functional teams to deliver production-quality features.

Build and ship end-to-end user-facing and backend features on a generative-audio product stack. Collaborate with research, product, and GTM teams; own integrations, deployment, and performance of services using TypeScript/React, Convex, and AWS.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

Develop and enhance front-end, server-side, and database applications, focusing on blockchain products while ensuring high performance and security.

As a C# Backend Developer Intern, you'll learn backend development, assist in building REST APIs, and work with databases, gaining practical experience in software development.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

Design and evolve core control, data, and observability systems; implement resilient region-spanning architectures; build libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, and testing; and shape platform capabilities across identity, scheduling, observability, and distributed state management.

The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.