Top Software Engineer Jobs in Hamburg

Build and operate production integrations between Luna and third-party practice management systems. Design scalable infrastructure, ensure data consistency and reliability through idempotency, retries, error handling, and observability, and triage production failures. Establish technical standards, architecture, and processes for scalable integration development and incident handling. The role requires strong programming skills, distributed-systems knowledge, production experience, and clear communication in a fast-paced environment.

Develop and maintain Java-based applications and services supporting energy trading, operations, and risk processes. Contribute throughout the software development lifecycle, including requirements analysis, design, implementation, testing, deployment, and support. Collaborate with business stakeholders and engineering teams to deliver reliable, scalable solutions using cloud platforms, APIs, automation, CI/CD, and data-driven technologies. The role also offers opportunities to learn about European energy markets and grow technically.

Build and evolve Rerun’s open-source viewer, cross-language SDKs, and integrations with Rerun Hub. Develop high-performance interfaces for large-scale multimodal data, optimize workflows across desktop and web, make full-stack architecture decisions, and collaborate with backend, Hub, design, customers, and the open-source community. The role involves UI development, rendering, data handling, infrastructure, real-time applications, visualization, and performance optimization.

Develop and optimize software solutions for industrial additive manufacturing in an agile team. Responsibilities include designing algorithms, data structures, and software subsystems; debugging complex issues; benchmarking and improving performance, stability, efficiency, and scalability; and contributing to software quality and documentation. The role uses Vue.js, TypeScript, Python, C++, MongoDB, Docker, and automated development tools.

Designs, builds, and maintains secure, scalable cloud-native software tools and microservices on GCP. Leads subsystem architecture, API development, infrastructure deployment, CI/CD, monitoring, vulnerability remediation, and secure coding practices. Collaborates with data scientists, DevSecOps engineers, and mission owners, while mentoring junior engineers, conducting code reviews, and establishing technical standards and documentation.

Design, develop, integrate, test, debug, maintain, and optimize embedded firmware and middleware for quantum computing hardware. Lead major software stack features, develop low-level schedulers and time-critical systems, implement communication protocols, benchmark quantum processes, and investigate technical issues. Collaborate with physicists, electronic engineers, hardware designers, and software developers while documenting and evaluating systems.

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.

As a Software Engineer, you will design, integrate, and test software for quantum processors, focusing on performance optimization and collaboration with engineers and scientists.

Lead the development of native Windows desktop applications, enforce best practices for code quality and performance, collaborate on UI/UX design, and ensure accessibility support. Drive features from conception to maintenance while addressing complex issues in the application lifecycle.

Build and own a modern data platform using Dagster, dbt, AWS ECS, and BigQuery. Maintain high-volume, business-critical ELT pipelines and executive-level reporting. Develop tooling for monitoring, data quality checks, connectors, cost control, testing, CI/CD, and cataloging. Apply strong software engineering practices to data engineering while collaborating with diverse stakeholders and communicating clearly in English.

Lead embedded software development per the V-Model: analyze customer requirements, define AUTOSAR-based software architecture, implement Embedded C drivers, own HW-SW interfaces, set up CI/CD and toolchains, promote model-based development, manage external partners, and drive embedded systems strategy and process improvements.

Build and architect high-performance advisory brokerage services for block trading, portfolio management, and IRA products. Develop frontend and backend systems, databases, and distributed architectures with strong concurrency, scalability, availability, and low-latency performance. Design order management and financial transaction systems while contributing across the technology stack in an early-stage environment.

Build and ship full-stack features for a data intelligence SaaS platform, spanning backend services and frontend interfaces. Use AI coding assistants to accelerate development while applying sound engineering judgment. Participate in architecture discussions, code reviews, testing, incident response, troubleshooting, documentation, and knowledge sharing. Partner with product managers to translate requirements into technical solutions. The role emphasizes SaaS architecture, AWS cloud fundamentals, Docker, Kubernetes, CI/CD, agile delivery, autonomy, and production ownership.

Build and maintain a production-grade iOS application using Swift and SwiftUI, integrating AI features through backend APIs. Design reliable AI interaction patterns, optimize performance, memory, and battery usage, capture user feedback for AI evaluation, and collaborate with backend and ML engineers. Maintain App Store quality, monitor production issues, and deliver responsive, stable experiences despite latency, partial failures, and non-deterministic AI behavior.

Designs and maintains globally distributed authentication and storage microservices using OCaml and Rust. Responsibilities include architecture design, API support, regression and performance testing, test coverage improvements, code reviews, and secure systems development. The role requires Linux programming and debugging, HTTP-based protocols, asynchronous and multithreaded networking, Kubernetes networking and deployment knowledge, and strong technical communication. Experience with distributed systems, Cassandra, OAuth/OIDC, LDAP, and Linux profiling tools is advantageous.

Design and operate customer-facing networking APIs, Python orchestration control planes, and automation that configures routers across global points of presence. Build resource allocation, job queues, retries, rollback, reconciliation, BGP, WireGuard, GRE, NAT, firewall, DNS, cloud interconnect, and Envoy xDS integrations. Own production monitoring, incident response, billing synchronization, API compatibility, and network configuration drift detection across application and infrastructure layers.

Build and maintain Camunda 8 backend data-layer services across relational databases and Elasticsearch/OpenSearch. Design scalable storage, query, retention, streaming, and secondary-storage solutions; investigate production data issues; improve performance and operability; and deliver engineering initiatives collaboratively with Product, QA, Support, and SRE. Participate in L3 support and on-call rotations.

As a Software Engineer, you'll develop software for Ceph and distributed storage, collaborating with a global team to enhance cloud solutions.

Canonical is hiring a Software Engineer to develop features for Kubernetes, focusing on operators and integrations while collaborating in a distributed team.

Provide technical support for applications: investigate and resolve issues, develop and implement interfaces, create support documentation, collaborate with Design/Test/Dev teams, estimate resources, and monitor project performance.

Investigate and resolve verified application issues, develop and implement interfaces, create technical support documentation, collaborate with design, test and development teams, provide user support, estimate resource timings, and monitor project performance to meet goals.

Design and build scalable backend systems for PlanetScale's database platform (Vitess/Postgres), collaborate on distributed systems challenges, work autonomously and with customers, optimize performance, and mentor engineers while operating systems at production scale.

Develop and maintain the JetBrains Runtime to ensure IDEs run fast and render well. Provide low-level support for UI frameworks (Swing, Compose for Desktop), work on OpenJDK projects, implement hardware-accelerated rendering (Metal/Vulkan/OpenGL/D3D), fix JBR issues, and optimize/refactor cross-platform system UI code for Windows, macOS, and Unix.

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.

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.