<p>Must Have Technical/Functional Skills</p> <p>1- Playwright-Centric UI & Backend Automation Leadership (Core Expectation)</p> <p>2- AI-Driven Quality Engineering (Strategic Expectation)</p> <p>3- Azure, DevOps & Platform Enablement</p> <p>4- Data Quality & Backend Validation</p> <p>5- Principal-Level Leadership & Influence 6- Domain Experience (Strong Advantage)</p> <p>Experience Profile 10+ years in SDET / Test Automation / Quality Engineering Demonstrated Principal-level influence across platforms, teams, and architecture decisions Deep hands-on experience designing and scaling Playwright-based automation frameworks Proven experience integrating AI-assisted capabilities into modern test frameworks</p> <p>Roles & Responsibilities</p> <p>About the Role</p> <p>We are seeking a Principal Software Development Engineer in Test (SDET) to lead and modernize quality engineering across UI, API, services, and data layers, with a strong emphasis on Playwright-based and AI-enabled automation frameworks.</p> <p>This is a hands-on technical leadership role responsible for:</p> <ul> <li>Defining next-generation automation standards </li><li>Building scalable, resilient Playwright-first test frameworks </li><li>Enabling continuous testing in Azure DevOps </li><li>Embedding AI-assisted and agent-driven quality practices across teams </li></ul> <p>You will partner closely with Engineering, Product, DevOps, and Business stakeholders to drive quality by design, reduce production risk, and enable high-confidence releases in complex, data-driven systems- preferably within wealth management or financial services environments.</p> <p>Data Quality & Backend Validation (Core Expectation)</p> <ul> <li>Lead the design and automation of data quality validation frameworks across: </li></ul> <p>o Databases</p> <p>o Data pipelines</p> <p>o System-to-system integrations</p> <ul> <li>Validate and automate checks for: </li></ul> <p>o Data completeness, accuracy, consistency, and reconciliation</p> <p>o ETL / ELT transformations</p> <p>o Batch jobs, scheduled processes, and file-based integrations (CSV / JSON / XML)</p> <ul> <li>Build reusable data validation utilities using SQL and Python / Java </li><li>Implement automated reconciliation for financial or transactional data where applicable </li><li>Integrate data quality tests into CI/CD pipelines or scheduled automation runs with actionable reporting </li><li>Proactively identify data anomalies and quality risks before production releases </li></ul> <p>Azure, DevOps & Platform Enablement</p> <ul> <li>Drive quality engineering practices within Azure environments </li><li>Design and govern test execution strategies in Azure DevOps </li><li>Define test stages, quality gates, and reporting standards across pipelines </li><li>Ensure traceability across requirements, tests, defects, and releases </li></ul> <p>AI-Driven Quality Engineering</p> <ul> <li>Champion the use of AI-assisted tools (GitHub Copilot, Copilot agents, AI assistants) to: </li></ul> <p>o Accelerate test case generation</p> <p>o Improve automation code quality and maintainability</p> <p>o Analyze test failures, logs, and quality trends · Define guardrails and best practices for responsible AI usage in QA</p> <ul> <li>Drive adop tion of AI-enabled productivity patterns across QE teams </li></ul> <p>Salary Range: $100,000 - $140,000 a year</p>