QE Engagement Lead

QE Engagement Lead

AWS Modernization & Migration Validation Programme

Location: Charlotte, NC (3 days onsite)

Open for non-locals who can relocate

Role Overview

Single point of accountability for a QE engagement validating the modernization of legacy applications onto .NET, Angular and AWS, including migration from SQL Server to PostgreSQL.

This is a hands-on lead role, not a coordination role. The person owns the client relationship, sets the technical direction, reviews what the offshore pod produces before it reaches the client, and is the one in the room when results are challenged. The client has an existing automation framework, governance model and CI/CD pipeline already in place - this role must work inside them and improve them, not replace them.

Key Responsibilities

• Act as the single point of contact for client QA leadership; own weekly reporting and the escalation path.
• Report status against evidence - execution logs, failure artefacts, coverage traceability - rather than self-reported completion percentages.
• Manage scope and estimate conversations, including re-confirming indicative timelines once the application estate has been inspected.
• Review the client's existing automation framework, test organisation, governance and result-tracking model, and produce an agreed hybrid approach that combines it with Zensar practices.
• Extend the client's existing Azure DevOps pipeline rather than standing up a parallel one.
• Lead reverse engineering of application workflows, code, database objects and configuration into a structured knowledge base where documentation is missing or outdated.
• Establish coverage truth - assess the existing test estate against real business processes, identify duplicate, stale, orphaned and non-executable cases, and quarantine flaky tests.
• Build and maintain requirement-to-test traceability, and drive a risk-ranked gap list to closure.
• Own the pre-migration baseline - full execution on the legacy platform, with results, configuration and data snapshots frozen.
• Lead post-cutover parity validation - field-by-field comparison against the frozen baseline, deviation triage, and functional parity certification.
• Own source-to-target data validation: record counts, schema and type mapping, transformation rules, referential integrity, null handling, stored procedure logic and incremental loads.
• Design and execute functional, integration, API and end-to-end test scenarios across Angular front ends, .NET services and downstream integrations.
• Direct an offshore pod and review all output before it reaches the client.
• Set automation standards and unblock the team technically - writing and debugging code where that is the fastest route.
• Apply AI-assisted QE with human-in-the-loop discipline; AI-generated artefacts are validated before use, never shipped unreviewed.

Must Have

• 12+ years in Software Testing / Quality Engineering, including 3+ years leading a client-facing QE engagement onsite.
• Demonstrable experience validating a platform or database migration - establishing baselines and proving parity between legacy and modernized systems.
• Strong SQL , hands-on with both SQL Server and PostgreSQL , including practical knowledge of dialect differences (T-SQL vs PostgreSQL - TOP/LIMIT, GETDATE, ISNULL, casing, identity handling).
• Hands-on ETL / source-to-target data reconciliation and the ability to write complex validation SQL independently.
• Test automation depth in Playwright, Selenium or Cypress , plus API automation ( REST Assured, Karate, Postman or equivalent ).
• Experience testing .NET / .NET Core back ends and Angular front ends, and testing REST APIs and integration flows.
• Hands-on with CI/CD pipelines , specifically Azure DevOps , including integrating and troubleshooting automated suites in a pipeline.
• Proven ability to adopt and work within a client's existing framework and governance model rather than imposing a new one.
• Strong written communication - able to produce a status report a VP will read and act on, and to say plainly when something is not on track.
• Willingness and eligibility to work onsite in the US.

Good to Have

• Experience testing applications hosted on AWS , and familiarity with RDS, Lambda, S3, ECS/EKS, API Gateway and CloudWatch.
• Exposure to AI-assisted development and testing tools - Kiro, GitHub Copilot, Claude Code or similar - and to GenAI/agentic approaches applied to test generation, change-impact analysis and defect triage.
• Prior work in legacy application modernization programmes.
• Familiarity with Tosca or other legacy commercial test tools, particularly in a migration-off context.
• Observability tooling - Datadog, Splunk, CloudWatch .
• Working knowledge of performance, security, accessibility and resilience testing.
• Domain exposure to food service, procurement, supply chain or retail .
• Experience running a distributed onsite/offshore delivery model.