Senior SDET

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:

• Defining next-generation automation standards
• Building scalable, resilient Playwright-first test frameworks
• Enabling continuous testing in Azure DevOps
• 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)

• Lead the design and automation of data quality validation frameworks across: o Databases o Data pipelines o System-to-system integrations
• 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)

• Build reusable data validation utilities using SQL and Python / Java
• Implement automated reconciliation for financial or transactional data where applicable
• Integrate data quality tests into CI/CD pipelines or scheduled automation runs with actionable reporting
• Proactively identify data anomalies and quality risks before production releases Azure, DevOps & Platform Enablement
• Drive quality engineering practices within Azure environments
• Design and govern test execution strategies in Azure DevOps
• Define test stages, quality gates, and reporting standards across pipelines
• Ensure traceability across requirements, tests, defects, and releases AI-Driven Quality Engineering
• 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
• Define guardrails and best practices for responsible AI usage in QA
• Drive adop tion of AI-enabled productivity patterns across QE teams

Salary Range:

$100,000

• $140,000 a year