This job is with Deutsche Bank, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Position Overview

Role Description

This role is responsible for owning product quality and defining and implementing AI-first engineering and automated validation solutions for the Account Information Platform. The candidate should demonstrate strong software engineering expertise, excellent problem-solving skills, and an agents-first mindset, with the ability to apply agentic AI approaches to testing while leading quality engineering through hands-on development. The candidate is expected to:

- Bring an AI-first and agent-first approach to quality engineering by identifying, designing, and implementing agentic AI use cases across test design, automation, execution, analysis, and reporting.
- Own quality for the Account Information Platform, including test strategy, risk assessment, regression execution, release-readiness reporting, and quality sign-off for production releases.
- Contribute as a hands-on senior engineer involved in analysis, design, and code reviews, coding, automation framework development, and release activities.
- Work closely with business stakeholders, the Tribe Lead, Product Owner, architects, developers, SRE, and platform teams to successfully deliver business outcomes.
- Acquire strong functional knowledge of account-information capabilities, customer journeys, data flows, and services delivered through the Account Information Platform.
- Demonstrate ownership, inspire others, apply creative 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 account-information 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.
- Minimum 14 years of IT industry experience, with substantial hands-on experience in software development,

📌 Software Development Engineer in Test, VP (Pune)
🏢 Deutsche Bank
📍 Pune