> Markdown version of [/jobs/ext/4128963-test-and-devops-automation-engineer-fixed-income-pricing-and-analytics](https://www.wearedevelopers.com/jobs/ext/4128963-test-and-devops-automation-engineer-fixed-income-pricing-and-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Test and DevOps Automation Engineer - Fixed Income Pricing and Analytics - **Company:** Deutsche Bank AG - **Location:** London, UK (Remote available) - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Analysis, Application Layers, Automation of Tests, Cloud Computing, Cloud Engineering, Continuous Integration, Linux, DevOps, Github, Identity and Access Management, Junit, Python (Programming Language), Software Engineering, SQL Databases, TypeScript, Scripting, Google Cloud, Performance Testing, AI Coding Agents, Build Management, Pytest, Kubernetes, Deployment Automation, Playwright, Data Management, Teamcity, Software Coding, Terraform, Data Pipelines, Docker, Jenkins - **Published:** October 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=44edb47e76c1997f ## About the Role * Software engineering and test automation: strong coding skills in Java, Python or TypeScript, with experience building automated API and UI tests using frameworks such as JUnit, pytest or Playwright. You write maintainable, version-controlled code and can diagnose failures across application layers * CI/CD and containerisation: experience building pipelines with tools such as TeamCity, Jenkins or GitHub Actions, packaging applications with Docker and deploying to Kubernetes using tools such as Helm. You understand artefact management, deployment strategies and rollback * Cloud infrastructure and automation: practical experience managing GCP services and Google Kubernetes Engine (GKE), or comparable cloud platforms, with confidence in Linux, scripting and infrastructure as code using tools such as Terraform. You understand cloud networking, identity and access management, secrets and environment configuration * Operational reliability: experience running cloud-hosted services, troubleshooting infrastructure and application failures, and using logs, metrics and alerts to improve reliability. You understand patching, upgrades, capacity planning, recovery and cost optimisation * Quality engineering: experience with test design, test data management and testing distributed, asynchronous systems. You can distinguish product defects from test or environment issues and address flaky tests. SQL and performance testing experience are desirable * AI-assisted engineering and collaboration: hands-on experience using AI coding assistants or agentic tools, with sound judgement about their limitations, output quality and handling of sensitive information. You work collaboratively in Agile teams and turn recurring manual work into practical automation. Financial markets experience is desirable, not essential Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs * How we'll support you * Training and development to help you excel in your career * Flexible working to assist you balance your personal priorities * A culture of continuous learning to aid progression ## Description You will play a key role in transforming how we test, deploy and run technology for Rates and Credit Fixed Income trading. As part of a multi-year platform modernisation programme, you'll build the automation and manage the cloud infrastructure that enable teams to deliver real-time pricing and analytics applications with greater speed, reliability and confidence. This is a hands-on engineering role spanning test automation, DevOps and cloud infrastructure management. You'll automate QA workflows, modernise build and deployment pipelines, and help manage our Google Cloud Platform (GCP) estate and Kubernetes environments. Working with developers, QA colleagues and platform teams, you'll improve deployment and run processes iteratively, using AI-assisted tools to make engineering and operations more effective.