Top Software Engineer Jobs in Cologne

Lead rapid end-to-end prototyping of LLM-powered agent systems: build working prototypes, design experiments measuring quality/latency/cost/user impact, validate with users, produce reference implementations, and hand off to product teams to inform roadmap decisions.

Build and maintain Ruby on Rails APIs for internal workflows, from stakeholder discovery and requirements refinement through design, testing, release, and evaluation. Write secure, maintainable code handling authentication, authorization, and sensitive data. Troubleshoot API issues, add regression coverage, participate in design discussions, review code, document decisions, and collaborate asynchronously in a distributed agile team.

Develop Rust-based cloud integration features that create, manage, and adapt cloud resources across Kubernetes environments. Collaborate on architecture, infrastructure, and feature design; use AI to improve development quality and speed; and work directly with users to gather requirements and debug distributed systems. The role requires production Rust experience, strong systems thinking, cloud-native knowledge, and familiarity with backend infrastructure tooling in a remote-first startup.

Develop production Rust code for managing, reconfiguring, and adapting cloud resources within a Kubernetes development platform. Collaborate on architecture, infrastructure, and feature design; use AI to improve delivery; and work directly with users to gather requirements and debug complex distributed environments. The role requires strong systems thinking, cloud-native infrastructure knowledge, and effective async collaboration in a remote-first startup.

Leads architecture, development, optimization, testing, and delivery of modern C++ 3D software for clinical dental applications. Owns rendering, geometry, APIs, CI/CD, and cross-language integrations while applying AI-assisted development practices. Investigates complex defects, mentors engineers, leads technical discussions, collaborates across product and manufacturing teams, and ensures compliance with medical device software quality processes.

Build and scale Nuitee’s flight infrastructure from a production product into reliable API-first platform services. Responsibilities include API design, caching volatile flight offers, modeling booking data, supporting booking changes, cancellations and refunds, integrating NDC and legacy GDS flows, and improving performance and reliability. This hands-on individual contributor role requires deep backend and API expertise, flight-domain knowledge, Python experience, and ownership in a small team.

Build and maintain ERP business management features across backend services, APIs, databases, and user interfaces. Develop reliable software, implement database models and schema changes, investigate issues, write tests, monitor releases, conduct code reviews, and communicate risks. The role requires professional software development experience and offers opportunities to grow into larger engineering responsibilities while working with technologies including Python, Django, React, PostgreSQL, AWS, and Kubernetes.

The Senior HPC Cluster Engineer will optimize GPU clusters, troubleshoot InfiniBand networks, integrate new hardware, enhance automation systems, and manage GPU devices in HPC environments.

Designs and builds Notabene’s Go-based transaction platform for secure, scalable, multi-tenant crypto transfers. The role focuses on distributed systems correctness, PostgreSQL performance, cloud infrastructure, observability, auditability, and regulated-data security. The engineer owns production operations, writes technical designs, reviews code, mentors teammates, collaborates with product and compliance teams, uses AI coding agents, and participates in on-call rotations.

Designs and operates distributed database systems across query execution, transaction processing, durable storage, concurrency, replication, recovery, and upgrades. Responsibilities include improving database performance, building deterministic failure simulations, managing stateful rollouts, participating in on-call response, leading production changes and investigations, and mentoring engineers. The role requires deep systems expertise and experience operating correctness-sensitive stateful services in production.

Design, build, and optimize GPU-accelerated deep learning inference software and frameworks (e.g., SGLang, vLLM). Profile and tune LLM and Generative AI model serving across NVIDIA accelerators, contribute code to inference libraries, and collaborate across teams to deploy high-performance multi-GPU solutions.

Design and build Go services for Telnyx’s serverless platform, function deployment pipeline, global control plane, and edge infrastructure. Own backend APIs, resource lifecycles, workload deployment, asynchronous workflows, observability, and reliability. Work with Kubernetes, distributed systems, relational databases, and multi-region services. Improve developer experience through APIs, CLI tooling, and clear error handling, while participating in on-call and diagnosing production performance and reliability issues.

Design and develop scalable production applications while applying an AI-first engineering approach. Build AI-powered internal tools and workflows, integrate LLM APIs, and use GenAI tools to improve coding, testing, documentation, reviews, and operations. Coach engineering teams on effective GenAI adoption, establish safe usage practices, run data-informed experiments, and turn successful approaches into repeatable standards. The role also contributes to technical direction, software quality, performance, observability, and long-term platform stability.

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 production AI agent systems for enterprise customers, including session and memory models, retrieval-augmented generation, document intelligence, agentic workflows, multimodal inputs, evaluation frameworks, and language interfaces. Develop secure, multi-tenant SaaS services with tool orchestration, API integrations, auditability, guardrails, and data-residency controls. Optimize AI solutions for reliability, latency, cost, and autonomous task execution.

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.

Own the design, development, and delivery of complex ERP features, backend services, APIs, data models, and user-facing functionality. Ensure reliability, performance, data integrity, and maintainability across production systems. Collaborate with Product and engineering teams, lead incident resolution, conduct code reviews, improve testing and monitoring, and mentor intermediate developers. Contribute to architecture, technical planning, hiring, and safe deployment practices including feature flags, incremental rollouts, and data migrations.

Integrate and productionize NVIDIA DRIVE active safety software on customer vehicles. Diagnose system-level issues across sensors, perception, fusion, planning, and vehicle integration; configure and tune software; implement C++ or Python adaptations; analyze recorded data; conduct vehicle testing and validation; and coordinate root-cause resolution with global customer and engineering teams.

Own the architecture and long-term direction of Alpaca’s Redpanda-based event streaming platform. Lead migration to event-driven systems, design scalable real-time client streaming, establish schema and library standards, shape authentication for streaming, partner on resilience and testing, mentor engineers, influence cross-team technical decisions, and participate in platform on-call. The role primarily uses Go and involves Kubernetes, Helm, PostgreSQL, observability, and distributed systems.

Maintain and evolve the Storybook codebase, designing APIs for developers, addon authors, and maintainers. Responsibilities include issue triage, pull request reviews, RFC development, educational content, community engagement, cross-team collaboration, and support rotation participation. The role requires strong web development experience, knowledge of frontend frameworks and build tools, excellent communication, and enthusiasm for improving developer experience and AI-assisted development workflows.

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.

The Senior Software Engineer will design and implement systems for AI integration, build scalable backend services, and mentor team members, ensuring high-quality systems that meet user needs.

Build and scale backend systems for AI-native construction procurement software. Own data models, GraphQL APIs, distributed processing semantics, integrations with construction ERPs, authorization, approvals, and transactional business workflows. Develop in Go with Postgres and AWS, while contributing to AI-driven document extraction, optimization, observability, and complex integrations. Collaborate in a fast-moving startup environment with evolving product requirements and strong ownership expectations.

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.

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.