Top Software Engineer Jobs in Cologne

The Software Engineer will manage data collection for model training at Speechify, handling infrastructure on GCP, and collaborating with AI scientists.

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.

As a Mid-Level Backend Engineer, you'll enhance the reliability, observability, and scalability of the EVC platform by building API integrations, improving system performance, and strengthening infrastructure.

The Software Engineer will work on internal tooling, improve AI frameworks, and assist in infrastructure projects within a hybrid or remote team.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

Join Canonical's OpenStack Engineering team to develop and manage Charmed OpenStack and Ceph, focusing on Python code and infrastructure automation.

The role involves collaborating with a distributed team to develop and debug software for Linux, focusing on high-quality code and system-level issues.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Develop and maintain system-level Go code, model data, and design database schema for cloud infrastructures. Collaborate with a distributed team to ensure code quality.

Lead bring-up and early validation of Wayves AI stack on customer automotive hardware. Port and configure Linux, QNX, and Adaptive AUTOSAR systems; integrate drivers, middleware, diagnostics, and secure boot; collaborate with Verification, Release, OEMs and Tier 1s; and develop automation and CI/CD integration for flashing, health checks and test execution on target SoCs.

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

Build high-throughput, reliable database integrations and replication pipelines into ClickHouse. Design and implement data-intensive systems, debug production issues, improve reliability and tooling, participate on-call, document designs, and collaborate with customers and cross-functional teams to drive product and integration improvements.

As a Senior iOS Engineer, you will lead engineering decisions, actively ship production code, maintain app architecture, and enhance user experiences for the Speechify iOS app.

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

Design and implement high-throughput services and manage on-chain wallets for compliance and liquidity. Collaborate with stakeholders for treasury management tools and maintain systems across multiple blockchain ecosystems.

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.

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

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

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

The Software Engineer will train large language models by reviewing code snippets, improving AI-generated code, and providing detailed feedback, ensuring efficiency and correctness.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.