Top Software Engineer Jobs in Cologne

As a Software Engineer on the Platform team at Speechify, you will design, develop, and maintain backend services, focusing on APIs, performance optimization, and collaboration with cross-functional teams for integration needs.

Lead organization-wide software and AI engineering strategy, design scalable cloud-native systems, drive deployment and data integration best practices, and deliver rapid prototype-to-production solutions. Own LLM and ML strategy including model fine-tuning, RAG, AI evaluation, and observability. Mentor technical leaders, shape developer experience and knowledge management, and represent engineering at executive and industry levels.

Lead design and development of low-level Linux instrumentation and eBPF-based runtime security features for detection, monitoring, and workload protection. Drive architecture, implement performance-sensitive systems, establish testing methodologies, deliver end-to-end features, and provide technical leadership and cross-team collaboration across Datadog's security products.

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

Contribute to Juju's development, collaborate with teams on distributed systems, debug issues, and enhance cloud automation features.

Develop and optimize algorithms for battery and renewable energy projects, analyze market data trends, and ensure algorithm performance.

Design, build, and evolve a scalable aggregate system to accelerate query performance across cloud data platforms; architect prediction/selection logic for aggregates; optimize maintenance, scheduling, and reliability at scale while collaborating with query planning and platform teams.

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

Design and implement backend trading services, own features end-to-end (schema, API, tests, UI integration), contribute to real-time infrastructure and client-facing APIs, and write integration tests against real dependencies.

Build and evolve the event-sourced Camunda 8 engine and its REST/gRPC/MCP APIs. Implement, test, and ship engine features, optimize data-access patterns across RocksDB/Elasticsearch/Postgres, design clean APIs, improve observability, and participate in reviews and on-call. Work on distributed-systems problems like ordering, concurrency, replay, and enable AI-driven process automation.

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

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.

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

Build and own end-to-end backend systems for forecasting and agentic LLM research: design, deploy, monitor, debug, and harden features and pipelines (benchmarks, agents, production services). Prototype quickly, work with LLM APIs and coding agents, and collaborate with researchers to improve evaluation and forecasting tools.

Design, build, and maintain scalable, secure cloud-native software and microservices on GCP. Lead architecture, implement CI/CD, manage GKE and Confidential Compute, integrate APIs for AI/ML outputs, enforce security best practices, mentor engineers, and operate monitoring and logging for mission-critical analytics environments.

Build and operate large-scale Azure AI services for multimodal model inference (audio, image), design scalable distributed architectures, debug and optimize across the stack, operate global cloud services, collaborate with partners, and drive technical excellence with full-stack ownership from infrastructure to APIs.

The role involves developing GPU Monitoring features and maintaining eBPF functionality, debugging production issues, and contributing to product architecture in Datadog's Agent over various Linux environments.

The Software Engineer will develop backend systems using Rust, manage multimodal data, and improve data infrastructure with a focus on performance and design ownership.

Build and maintain backend services, APIs and workflows for an AI neobank. Support financial products (payments, wallet, savings, investing, insurance), integrations with banks and partners, ensure reliability, security, observability, and regulatory readiness while collaborating with product and mobile teams.

Build end-to-end customer-facing and internal features for an AI neobank: web flows, backend APIs, admin tools, dashboards, and operational systems. Integrate APIs, manage data flows, improve production reliability, use analytics and feedback to iterate, and reduce manual work across insurance, payments, savings, investing, travel and financial services.

The role involves optimizing hardware support within a software stack for AI model deployment, collaborating with teams and hardware vendors to enhance performance and portability across platforms.

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.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

Build and ship native Android features for an AI-powered neobank using Kotlin. Design clean user flows for financial products, integrate backend APIs, improve performance and reliability, use analytics to iterate, and implement on-device AI where it improves UX.

Build and ship native iOS features in Swift for an AI-enabled neobank. Implement clean user journeys for insurance, payments and financial services, integrate backend APIs, optimise performance and reliability, use analytics to iterate, and add AI-assisted mobile experiences where beneficial.