DevOps Engineer

Our Quantitative Fixed Income (QFI) Engineering team, part of the Group Strategy Analytics (GSA) group, builds applications that deliver quantitatively driven pricing and trading solutions for the Rates & Credit business.

We are looking for a DevOps Engineer to design, build, and operate reliable build and deployment automation for high-performance trading systems. In this role, you will own and continuously improve CI/CD pipelines and platform level, data driven automation workflows, develop high-quality automation solutions, and work closely with engineering, quant research, and production support teams to deliver repeatable, secure systems with strong observability across environments., * In close partnership with Quant Research, design, build, and operate research environments that support data refinement, transformation, and aggregated results collection (using technologies such as Python, Q/KDB, VictoriaMetrics). Plan, build, and support an infrastructure orchestration layer to run and monitor research experiments and automate the generation of calibration parameters for trading strategies.

• Develop and operate CI/CD pipelines (e.g., Jenkins, TeamCity), including quality gates, approvals, artifact management, and rollback strategies. Own build and deployment automation across environments (dev/test/stage/prod), ensuring releases are repeatable, secure, and reliable.
• Troubleshoot and resolve pipeline and deployment failures end-to-end (source control, build, artifacts, runtime, connectivity, permissions) and drive root-cause fixes.
• Improve observability and operational readiness for the build/deploy process (logging, metrics, alerts, runbooks) and continuously refine automation standards., In case of any recruitment related questions, please get in touch with Nana Darko.

• Strong scripting skills (Python strongly preferred; Bash/shell required). Ability to produce clean, testable and maintainable automation code.
• Hands-on experience building and operating CI/CD pipelines, including branching strategies, artifact management, secrets handling, and deployment promotion.
• Unix/Linux skills: process, filesystem, permissions, services, troubleshooting, and performance basics.
• Good networking fundamentals: DNS, TCP/IP, ports, routing basics, TLS certificates; ability to debug connectivity issues with standard tools.
• Experience with version control (Git) and collaborative engineering practices (code review, documentation, automation-first mindset).
• Comfort working in incident-driven environments: clear communication, structured troubleshooting, and post-incident improvements.
• Monitoring/logging experience (e.g., Prometheus, Grafana, Splunk/ELK) and building operational dashboards.
• Awareness of kdb+ / KDB database technology and/or experience with other NoSQL databases (e.g., MongoDB, Cassandra, Redis, Elasticsearch): fundamentals, common operational patterns, and deployment considerations.

For over 150 years we have been there for our clients every step of the way. Our purpose: ‘Dedicated to our clients’ lasting success and financial security at home and abroad’ guides our vision and strategy, and is brought to life by our culture. With a global presence in about 60 countries, and a diverse workforce of more than 90,000 people, we know that each individual’s daily actions shape our culture. 

Deutsche Bank Technology in Berlin

DB Technology is a global team of tech specialists, spread across multiple trading hubs and tech centres. We have a strong focus on promoting technical excellence – our engineers work at the forefront of financial services innovation using cutting-edge technologies.

Our Berlin location is our most recent addition to our global network of tech centres and growing strongly. We are committed to building a diverse workforce and to creating excellent opportunities for talented engineers and technologists. Our tech teams and business units use agile ways of working to create #GlobalHausbank solutions from our home market.