Top Software Engineer Jobs in Hamburg

Design and develop scalable backend services in Go, collaborate with product teams, monitor system performance, and ensure code quality and maintainability.

As a Software Engineer on the macOS team, you will develop and maintain the Speechify macOS app, focusing on performance, stability, and user experience while collaborating with cross-functional teams.

As a Senior Software Engineer at Kubermatic, you will develop and enhance the Kubermatic Developer Platform, automate CI/CD workflows, and contribute to open-source projects while collaborating with cross-functional teams.

The role involves designing and maintaining infrastructure, ensuring the reliability of Kubernetes clusters, automating operations, and supporting machine learning infrastructure.

As a Backend Software Engineer, you'll design scalable backend systems, optimize database performance, and collaborate with front-end and DevOps teams.

As an Ubuntu Core Software Engineer, you will design and implement features for the embedded Linux operating system, maintain boot mechanisms, debug system-level issues, and collaborate with a global team.

The role involves optimizing backend processes, leading multi-team projects, and ensuring engineering standards in a scalable environment. Requires deep knowledge of full-stack development, especially server-side.

Software Engineers at QuantCo will design and develop scalable solutions, integrate models into client businesses, and improve products based on client feedback.

As a Backend Software Engineer at Grafana Labs, you will develop and maintain critical systems, drive projects from inception to operations, and contribute to the open-source community while ensuring system performance and reliability.

Full-stack Developers at QuantCo build user interfaces for machine learning solutions, collaborating with data scientists and engineers to deliver actionable products.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Canonical seeks open-source enthusiasts to optimize Ubuntu for new silicon technologies, collaborating with teams and customers to enhance software quality and performance across various platforms.

The Software Engineer will build and maintain large-scale products, participating in product decisions and optimizing system performance. A focus on collaboration and experience with multiple technologies is needed.

As a Software Engineer for the Data Infrastructure & Acquisition at Speechify, you'll focus on sourcing audio data, managing cloud infrastructure, and collaborating with researchers to enhance data processing for model training.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

The Python Software Engineer will develop and maintain test automation tools for hardware certification and improve Linux testing methods.

You will build and maintain container images, automate CI/CD processes, engage with the community, and mentor junior team members in a collaborative environment.

Develop and enhance dqlite, a distributed SQLite database, including debugging, implementing features, and engaging with the open source community.

Lead Python Software Engineer responsible for developing solutions, collaborating on designs, mentoring team members, and enhancing engineering practices.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.