Top Software Engineer Jobs in Hamburg

Design, develop, and maintain software components, SDKs, libraries, and user interfaces for quantum algorithm development tools. Own components of the algorithm development pipeline, collaborate with quantum algorithm teams, and deliver reliable, documented software. Support testing, validation, and deployment of models and simulations to HPC and cloud environments while evaluating trade-offs across quantum algorithms, compilation, and hardware processes.

Develop optimization and algorithmic solutions, build reliable AWS infrastructure and orchestration pipelines, write production-grade Python, manage CI/CD and CloudFormation deployments, monitor system health, and mentor junior engineers. The role contributes to redesigning a pricing engine that integrates optimization and forecasting models for e-commerce pricing, while translating business requirements into scalable software solutions.

Design, build, operate, and maintain scalable distributed systems supporting CrowdStrike’s Intelligence pipelines. Gather requirements from analysts, develop processing and data integration systems, make autonomous architecture decisions, maintain Go and Python codebases, deploy production services, document solutions, train users, and communicate technical details effectively. The role requires independent execution in a geographically distributed team and includes opportunities to work with cloud platforms, APIs, web interfaces, malware analysis, and AI technologies.

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.

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 ship production-grade full-stack software integrated with agentic AI systems. Responsibilities include integrating LLM APIs, using AI-assisted development tools, evaluating AI-generated outputs, building application and API layers, tracking AI productivity KPIs, and supporting Agile delivery from design through production. Contribute to reusable components, AI tooling standards, and integrations involving agent architectures, RAG pipelines, and enterprise AI workflows.

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 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.

Builds software solutions for end users as a general full-stack engineer. The role emphasizes collaboration, ownership, accountability, fast-paced execution, adaptability, multitasking, rapid learning, and an ambitious, outcome-driven approach.

Develop and operate EVENTIM’s Keycloak-based identity and access management platform, including authentication, authorization, SSO, identity federation, and API security. Build Keycloak extensions, integrate API gateways, ensure platform reliability and observability, troubleshoot production issues, and contribute to architecture decisions. Collaborate with international stakeholders and support developers through technical guidance and code reviews.

Build, maintain, test, document, and release Camunda 8 self-managed deployment artifacts, including Helm charts, C8Run, and Docker Compose. Improve installation, upgrades, and day-two operations while contributing to CI/CD, deployment automation, infrastructure testing, and shared tooling. Collaborate with support, consulting, presales, engineering, product, QA, and documentation teams; participate in medic rotations and resolve engineering support cases. Use customer feedback to prioritize improvements and help advance lifecycle ownership.

Build and improve Firefox WebCompat internal dashboards, reporting tools, and broken-site screenshot capture pipelines. The role involves creating reliable data views for triage and metrics, automating screenshot workflows, collaborating with WebCompat and QA teams, and translating reporting needs into effective tooling. Familiarity with WebCompat workflows, Bugzilla, screenshot automation, and machine learning is preferred.

Improve Firefox Gecko’s Session History health by writing Web Platform Tests and Gecko mochitests, fixing test failures and code issues, debugging a mature browser-engine codebase, and collaborating through code review and upstream landing.

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.

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.

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.

Build reliable, scalable software for Ledgy’s equity management platform. The role involves developing production-quality features across the stack, working with product managers and designers, contributing to data models and workflows, participating in code reviews and architecture discussions, and owning medium-sized features through release. Engineers may work on equity logic, workflow automation, reporting, or tax products while developing technical judgment and domain expertise.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Build and own the company’s modern data platform, including Dagster, dbt, AWS ECS, and BigQuery infrastructure. Develop tooling for monitoring, data quality, connectors, cost control, testing, CI/CD, and cataloging. Maintain high-volume ELT pipelines and critical executive reports while improving reliability and efficiency for data teams. Apply strong software engineering practices, communicate effectively with stakeholders, and balance pragmatic delivery with technical excellence.

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.

Build and ship backend features for enterprise Coder deployments, including database migrations, observability, reporting, auditing, security, scalability, and reliability improvements. Investigate production issues, resolve operator problems, document designs, participate in code reviews and RFC discussions, and join on-call rotations. The role requires professional Go development, concurrency knowledge, SQL expertise, debugging ability, and strong communication.

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.

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.

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.