Software Development Engineer in Test, VP

Overview

Own product quality for the Account Information Platform as a hands-on senior engineer, defining and implementing AI-first and agentic AI approaches to test design, automation, execution and reporting.

What you'll do

• 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.
• 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, code reviews, coding, automation framework development, and release activities.
• Coach engineers in AI-enabled testing and modern development and test practices, 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.
• Work closely with business stakeholders, the Tribe Lead, Product Owner, architects, developers, SRE, and platform teams to deliver business outcomes.
• Acquire functional knowledge of account-information capabilities, customer journeys, data flows, and services delivered through the Account Information Platform.

What you'll need

• 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.
• 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.
• 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 and optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

Details

• Location: Pune, India.
• Corporate title: Vice President.