Deutsche Bank Group
Quantitative Fixed Income
DevOpsEngineer(f/m/x)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“DevOps Engineer (f/m/x) at Deutsche Bank Group. Skills: DevOps, CI/CD pipelines, automation, infrastructure orchestration, monitoring, logging, Linux, networking, version control. design, build, and operate reliable build and deployment automation for high-performance trading systems. own and continuously improve CI/CD pipelines and platform level, data driven automation workflows”
What You'll Achieve.
deliver repeatable, secure systems with observability across environments; ensuring releases are repeatable, secure, and reliable; building operational dashboards
Industry & Context.
structured troubleshooting; root-cause fixes; troubleshooting; performance basics; debug connectivity issues
on-call
What They're Looking For.
Must Have
scripting skills (Python strongly 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 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
Nice to Have
Kubernetes a plus
What You'll Do.
and operate reliable build and deployment automation for high-performance trading systems
own and continuously improve CI/CD pipelines and platform level
data driven automation workflows
develop high-quality automation solutions
and operate research environments that support data refinement
and aggregated results collection
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.
including quality gates
and rollback strategies
Own build and deployment automation across environments (dev/test/stage/prod)
ensuring releases are repeatable
Troubleshoot and resolve pipeline and deployment failures end-to-end (source control
permissions) and drive root-cause fixes
Improve observability and operational readiness for the build/deploy process (logging
runbooks) and continuously refine automation standards
How You'll Work.
Team & Collaboration
work closely with engineering, quant research, and production support teams; In close partnership with Quant Research; collaborative engineering practices (code review, documentation, automation-first mindset)
Communication Scope
clear communication
Full Job Description
## _**Job Description:**_ 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. **Key responsibilities** * 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. **Required skills and experience** * Strong scripting skills (Python strongly preferred; Bash/shell required). Ability to produce clean, testable and maintainable automation code. * Hands-on experience building and operati
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