We're looking for a senior, hands-on QA Lead Consultant to own end-to-end quality strategy for a large, multi-stream Salesforce and AWS Connect program. You'll serve as the quality gatekeeper across functional, SIT, E2E, UAT, regression, performance, load and go-live activities — while equally comfortable stepping in as a hands-on contributor — leading by example, not just by direction.

You'll lead quality across multi-cloud Salesforce solutions (Sales, Service, Revenue, Experience Cloud, Field Service, Digital Experience, Service Cloud Voice, etc.) and AWS Connect contact center implementations, including IVR telephony, enterprise integrations, and GenAI/Agentic AI features.

Key Responsibilities

QA Strategy & Leadership

• Independently define and stand up the QA program from scratch — QA charter, tool setup, test strategy, quality gates, and release readiness criteria — without waiting for direction
• Serve as the single QA point of contact for clients, program managers, and technical leads simultaneously, acting as a trusted quality advisor with a seat at the program table
• Lead and mentor QA teams of 5+ members while seamlessly stepping in as a hands-on contributor when the project demands it — leading by example, not just by direction
• Own QA program management end-to-end — resource planning, risk management, defect governance, cross-functional coordination, and stakeholder reporting
• Proactively maintain live QA dashboards and independently prepare QA status reports for weekly program reviews, steering committees, and go/no-go decisions — without being asked
• Define and track quality KPIs — defect escape rate, test coverage, automation ROI, and cycle time — raising risks and blockers before they become program issues
• Coordinate environment and release strategy — managing sandbox and staging environments, collaborating with DevOps/release teams on deployment schedules, change sets, and testing windows
• Lead go-live readiness assessments — compiling test completion metrics, open defect risk summaries, and formal sign-off documentation
• Own hypercare QA support post-launch — triaging production issues, coordinating hotfix validation, and maintaining a known issues log with clear severity assessments communicated to stakeholders
• Apply sampling strategies, accuracy benchmarking, and prompt regression testing to validate LLM-powered and Agentic AI features; leverage GenAI tools to accelerate test case generation, documentation, and overall QA productivity

Test Design & Execution

• Independently author detailed, scenario-based test cases and traceability matrices mapped to SOW scope — covering functional, integration, regression, performance, and UAT cycles across all workstreams
• Write thorough negative, boundary, and edge case scenarios across complex multi-cloud and contact center workflows — not just happy path coverage
• Lead exploratory testing for complex and ambiguous workflows, applying risk-based judgment to prioritize coverage where business impact is highest
• Validate platform configurations, business rules, routing logic, automation workflows, integration touchpoints, and data flows across the full solution stack
• Own end-to-end testing of integration layers — API request/response validation, middleware transformations, screen pop behavior, and bidirectional data sync across connected systems
• Lead SIT, E2E, UAT, regression, performance, load, and go-live testing activities across all release cycles
• Facilitate UAT readiness sessions with business stakeholders — walking through test scenarios, supporting non-technical users, and driving structured sign-off
• Own full defect lifecycle — creation, triage, prioritization, SLA tracking, root cause tagging, and trend analysis — enforcing defect governance and escalation protocols throughout
• Produce meaningful defect health reports and quality metrics summaries for program leadership and client stakeholders at every stage of the delivery

Required Qualifications

• 7+ years in QA engineering with at least 4 years of hands-on experience on Salesforce and/or AWS Connect implementations
• Led QA on at least two enterprise Salesforce multi-cloud programs managing 5+ direct QA team members
• Hands-on lead experience delivering at least one contact center and IVR telephony project using Service Cloud Voice, Amazon Connect, or comparable platforms such as Twilio, Avaya, Cisco, or Genesys
• Demonstrated ability to operate as a solo QA owner in early project phases — building the program independently before scaling the team
• Exposure to Contact Center and ITSM domains strongly preferred

Tools & Technical Skills

• Test Management & Planning: Proficient with enterprise test management tools including Jira/Xray, Azure DevOps, Zephyr Scale, TestRail, or qTest
• Defect Tracking & Governance: Strong command of Jira for end-to-end defect lifecycle management
• CI/CD & DevOps-Aware Testing: Familiarity with Jenkins, GitHub Actions, or Azure DevOps for pipeline configuration, automated test triggers, and deployment tracking. Proficient with Git-based version control — GitHub, GitLab, or Bitbucket — for managing test scripts, automation frameworks, and configuration files
• Test Automation & Performance Testing: Experience with UI automation tools for functional and regression test coverage. Proficient in API testing using Postman, REST Assured, or SoapUI. Hands-on experience with performance and load testing tools
• GenAI & Productivity Tools: Actively leverages GenAI productivity tools — Claude, Copilot, or ChatGPT — for test case generation, test data creation, and QA documentation acceleration
• Reporting & Collaboration: Confluence for QA documentation, Slack, Microsoft Teams, Google Drive and SharePoint for distributed team coordination and stakeholder communication

Soft Skills & QA Leadership

• Trusted Advisor Presence — Earns client confidence through expertise, transparency, and consistent delivery; comfortable challenging scope and requirements constructively when testability or clarity is lacking
• Radical Ownership — Takes full accountability for quality outcomes across the program; doesn't wait to be told what to test next and never passes the problem to someone else
• Hands-On Leadership — Leads by doing; equally comfortable mentoring junior team members and personally drafting and executing test cases on the same day
• Proactive Risk Management — Anticipates quality risks, raises blockers early, and brings solutions — not just problems — to every stakeholder conversation
• Composed Under Pressure — Navigates defect escalations, client concerns, and delivery conflicts with professionalism, sound judgment, and a calm, steady presence
• Intellectually Curious — Invests time to deeply understand the business process being tested, not just the technical specification; asks the right questions before writing the first test case
• Comfortable with Ambiguity — Makes risk-based quality decisions and writes meaningful test cases even when requirements are incomplete or evolving
• Finisher Mentality — Drives every test cycle through to formal sign-off and release; not someone who starts strong and disengages before the finish line
• Clear Communicator — Articulates QA status, risks, and recommendations clearly and confidently to both technical teams and non-technical business stakeholders

Collaborative Coach — Develops junior QA team members, supports client UAT efforts, and fosters a quality-first culture across the entire program team

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