Software Development Engineer in Test, VP

Deutsche Bank; Pune District; On-site; INR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

Leave policy

Parental leaves

Childcare reimbursement

Certifications sponsorship

Employee assistance program

Health insurance

Life insurance

Health screening

Job summary

Deutsche Bank seeks a Software Development Engineer in Test in Pune, overseeing AI-first testing and automated validation for complex platforms. The role emphasizes agent-first testing, test strategy, and hands-on automation in Java with Selenium and Playwright.

The candidate will lead quality engineering across design, development, CI/CD, and production validation, collaborating with business stakeholders and platform teams to deliver reliable, scalable outcomes.

Qualifications

• Experience defining and implementing agentic AI approaches for testing.
• Strong Java-based automation development and frameworks.
• Hands-on testing with Selenium and Playwright for web automation.
• Experience with AI-enabled testing and agent workflows.

Responsibilities

• Lead an AI-first, agents-first testing approach identifying agentic patterns.
• Define automation strategy and scalable validation patterns across web, APIs, data flows and integrations.
• Design and develop automation components, libraries, tools, and test agents using Java, Selenium, Playwright.
• Collaborate with developers, architects, and product teams to embed quality gates in SDLC.
• Build risk-based regression capabilities and analyze results to reduce defects and flaky tests.
• Coach engineers in AI-enabled testing and modern development practices.

Skills

Agentic AI testing

Java programming

Selenium

Playwright

Test automation

CI/CD

Leadership

Tools

Selenium

Playwright

Java

Job description

Job Title

Software Development Engineer in Test

Corporate Title

Vice President

Location

Pune, India

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 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 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, 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 sc