Software Development Engineer in Test, VP

Deutsche Bank AG; Maharashtra; Sur place; INR 3 500 000 - 7 000 000; Plein temps

Avantages offerts par ce poste

Best in class leave policy

Gender neutral parental leaves

Certification sponsorship

Employee Assistance Program

Résumé du poste

Deutsche Bank AG in Pune, India, is seeking a Software Development Engineer in Test (Vice President) to own product quality for the Account Information Platform. You will lead AI-first and agent-first testing approaches, design automation frameworks, and collaborate with cross-functional teams to deliver production-ready releases.

You will mentor engineers, embed quality gates in CI/CD, and translate technical risk into business terms for stakeholders.

Qualifications

• 14+ years of IT industry experience and hands-on software development and test engineering.
• Expert-level programming in Java with production-quality automation code.
• Strong experience with Selenium and Playwright for browser automation and end-to-end testing.
• Experience integrating automated validation into CI/CD pipelines using tools like Jenkins/GitLab/GitHub Actions.

Responsabilités

• Own testing quality for the Account Information Platform, including test strategy, regression, and release-readiness.
• Lead AI-first, agent-first testing approaches and design automation components and frameworks.
• Collaborate with stakeholders to embed testability, observability, security and automated gates across design, development and production validation.
• Mentor engineers in AI-enabled testing and translate risk into business terms for stakeholders.

Connaissances

Java

Selenium

Playwright

Python

CI/CD

API testing

Outils

Jenkins

Git

REST Assured

Description du poste

Job Description:Job Title: Software Development Engineer in TestCorporate Title: Vice PresidentLocation: Pune, IndiaRole DescriptionThis 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 youAs part of our flexible scheme, here are just some of the benefits that you’ll enjoy,Best in class leave policy.Gender neutral parental leaves100% reimbursement under childcare assistance benefit (gender neutral)Sponsorship for Industry relevant certifications and educationEmployee Assistance Program for you and your family membersComprehensive Hospitalization Insurance for you and your dependentsAccident and Term life InsuranceComplementary Health screening for 35 yrs. and aboveYour key responsibilitiesLead 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 experienceProven 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 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 youTraining 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 teamsPlease visit our company website for further information:https://www.db.com/company/company.htmlWe 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.