Must Have Technical/Functional Skills
1- Playwright-Centric UI & Backend Automation Leadership (Core Expectation)
2- AI-Driven Quality Engineering (Strategic Expectation)
3- Azure, DevOps & Platform Enablement
4- Data Quality & Backend Validation
5- Principal-Level Leadership & Influence 6- Domain Experience (Strong Advantage)
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
Roles & Responsibilities
About the Role
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.
This is a hands-on technical leadership role responsible for:
โข Defining next-generation automation standards
โข Building scalable, resilient Playwright-first test frameworks
โข Enabling continuous testing in Azure DevOps
โข Embedding AI-assisted and agent-driven quality practices across teams
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.
Data Quality & Backend Validation (Core Expectation)
โข Lead the design and automation of data quality validation frameworks across:
o Databases
o Data pipelines
o System-to-system integrations
โข Validate and automate checks for:
o Data completeness, accuracy, consistency, and reconciliation
o ETL / ELT transformations
o Batch jobs, scheduled processes, and file-based integrations (CSV / JSON / XML)
โข Build reusable data validation utilities using SQL and Python / Java
โข Implement automated reconciliation for financial or transactional data where applicable
โข Integrate data quality tests into CI/CD pipelines or scheduled automation runs with actionable reporting
โข Proactively identify data anomalies and quality risks before production releases
Azure, DevOps & Platform Enablement
โข Drive quality engineering practices within Azure environments
โข Design and govern test execution strategies in Azure DevOps
โข Define test stages, quality gates, and reporting standards across pipelines
โข Ensure traceability across requirements, tests, defects, and releases
AI-Driven Quality Engineering
โข Champion the use of AI-assisted tools (GitHub Copilot, Copilot agents, AI assistants) to:
o Accelerate test case generation
o Improve automation code quality and maintainability
o Analyze test failures, logs, and quality trends โข Define guardrails and best practices for responsible AI usage in QA
โข Drive adop tion of AI-enabled productivity patterns across QE teams
Salary Range: $100,000 - $140,000 a year