Demonstrate ownership, inspire others, apply innovative thinking and a growth mindset, and collaborate across teams for success.
What we’ll offer you
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
Best in class leave policy
Gender neutral parental leaves
100% reimbursement under childcare assistance benefit (gender neutral)
Sponsorship for Industry relevant certifications and education
Employee Assistance Program for you and your family members
Comprehensive Hospitalization Insurance for you and your dependents
Accident and Term life Insurance
Complementary Health screening for 35 yrs. and above
Your key responsibilities
Lead an AI-first, agents-first approach to testing by identifying and implementing agentic AI patterns for requirements analysis, test design, code generation, test-data preparation, execution orchestration, defect triage, root-cause analysis, and quality reporting.
Define the automation strategy, framework design, engineering standards, and scalable patterns for validating user journeys across web interfaces, APIs, services, data flows, and integrations.
Design and develop critical automation components, reusable libraries, utilities, AI-enabled testing tools, and test agents using Java, Selenium, Playwright, and scripting languages; establish high standards through robust code and design reviews.
Partner with developers and architects to embed testability, observability, security, reliability, and automated quality gates throughout design, development, CI/CD, release, and production validation.
Build and maintain reliable risk-based regression capabilities, drive effective execution and result analysis, and use engineering metrics and root-cause analysis to reduce escaped defects, flaky tests, and repetitive manual effort.
Coach engineers in AI-enabled testing, modern development and test practices, foster continuous learning, and build a culture where quality is an engineering responsibility shared across the product team.
Translate quality risks, AI-enabled testing opportunities, regression outcomes, and release-readiness evidence into clear business terms for product, technology, and executive stakeholders.
Your skills and experience
Proven ability to define and implement agentic AI approaches for software testing, including the use of autonomous or semi-autonomous agents for test design, automation development, execution orchestration, defect triage, analysis, and reporting.
Strong agents-first mindset, with the ability to identify where AI agents can improve coverage, engineering productivity, decision-making, and delivery confidence while retaining appropriate human oversight and control.
Practical experience with generative AI, coding assistants, prompt engineering, agent workflows, tool integration, and evaluation of AI-generated code and test artefacts for correctness, security, maintainability, and responsible use.
9 - 14 years of IT industry experience, with substantial hands-on experience in software development, test engineering, product-quality ownership, and delivery of complex business-critical systems.
Expert-level programming skills in Java, with the ability to develop clean, maintainable, reusable, and production-quality automation code and engineering frameworks.
Strong hands-on experience with Selenium and Playwright for browser and end-to-end automation, including framework design, parallel execution, cross-browser validation, and test reliability.
Strong scripting capability using Python, JavaScript/TypeScript, or Shell scripting for automation, AI-agent tooling, data preparation, and engineering productivity.
Deep experience in API and service-level automation using tools and libraries such as REST Assured, with a sound understanding of REST, JSON, XML, authentication, and integration testing.
Demonstrated experience owning test strategy, risk-based regression scope and execution, defect governance, release-readiness assessment, and quality sign-off for production releases.
Strong knowledge of software design principles, object-oriented programming, debugging, code reviews, and engineering practices that support scalable and maintainable solutions.
Experience integrating automated validation and AI-enabled testing capabilities into CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions, with good knowledge of Git and build tools such as Maven or Gradle.
Experience with test environments, test data management, databases and SQL, service virtualisation or mocking, observability tools, and evidence-based quality reporting.
Good understanding of performance, security, accessibility, reliability, contract, and risk-based testing, with the ability to incorporate relevant checks into engineering workflows.
Proven technical leadership, stakeholder management, mentoring, and communication skills, combined with the ability to remain a hands-on individual contributor.
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
Coaching and support from experts in your team
A culture of continuous learning to aid progression
A range of flexible benefits that you can tailor to suit your needs
About us and our teams
Please visit our company website for further information
https://www.db.com/company/company.html
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
