Quality Assurance Lead Consultant

NeuraFlash, Part of Accenture

4d•Remote

About The Position

NeuraFlash, Part of Accenture, is seeking a senior, hands-on QA Lead Consultant to oversee the end-to-end quality strategy for a large, multi-stream Salesforce and AWS Connect program. This role involves acting as the quality gatekeeper for various testing phases, including functional, SIT, E2E, UAT, regression, performance, load, and go-live activities. The consultant will also be expected to contribute directly to testing efforts, leading by example. The position requires leading 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, which include IVR telephony, enterprise integrations, and GenAI/Agentic AI features.

Requirements

7+ years in QA engineering with at least 4 years of hands-on experience on Salesforce and/or AWS Connect implementations.
Experience leading 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 (Twilio, Avaya, Cisco, Genesys).
Demonstrated ability to operate as a solo QA owner in early project phases, building the program independently before scaling the team.
Proficient with enterprise test management tools including Jira/Xray, Azure DevOps, Zephyr Scale, TestRail, or qTest.
Strong command of Jira for end-to-end defect lifecycle management.
Familiarity with CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps for pipeline configuration and automated test triggers.
Proficient with Git-based version control (GitHub, GitLab, Bitbucket).
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.
Actively leverages GenAI productivity tools (Claude, Copilot, ChatGPT) for test case generation, test data creation, and QA documentation acceleration.
Proficient with Confluence for QA documentation.
Experience with collaboration tools like Slack, Microsoft Teams, Google Drive, and SharePoint.
Trusted Advisor Presence: Earns client confidence through expertise, transparency, and consistent delivery; comfortable challenging scope and requirements constructively.
Radical Ownership: Takes full accountability for quality outcomes across the program.
Hands-On Leadership: Leads by doing; equally comfortable mentoring junior team members and personally drafting and executing test cases.
Proactive Risk Management: Anticipates quality risks, raises blockers early, and brings solutions.
Composed Under Pressure: Navigates defect escalations, client concerns, and delivery conflicts with professionalism.
Intellectually Curious: Invests time to deeply understand the business process being tested.
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.
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.

Nice To Haves

Exposure to Contact Center and ITSM domains.

Responsibilities

Independently define and establish the QA program, including QA charter, tool setup, test strategy, quality gates, and release readiness criteria.
Serve as the primary QA point of contact for clients, program managers, and technical leads, acting as a trusted quality advisor.
Lead and mentor QA teams of 5+ members, while also functioning as a hands-on contributor when needed.
Manage the QA program end-to-end, including resource planning, risk management, defect governance, cross-functional coordination, and stakeholder reporting.
Proactively maintain live QA dashboards and prepare QA status reports for program reviews, steering committees, and go/no-go decisions.
Define and track quality KPIs such as defect escape rate, test coverage, automation ROI, and cycle time, identifying and escalating risks and blockers.
Coordinate environment and release strategy, managing sandbox and staging environments, and collaborating with DevOps/release teams on deployment schedules and testing windows.
Lead go-live readiness assessments, compiling test completion metrics, open defect risk summaries, and formal sign-off documentation.
Oversee hypercare QA support post-launch, including triaging production issues, coordinating hotfix validation, and maintaining a known issues log.
Apply sampling strategies, accuracy benchmarking, and prompt regression testing for LLM-powered and Agentic AI features, utilizing GenAI tools to enhance QA productivity.
Independently author detailed, scenario-based test cases and traceability matrices mapped to SOW scope, covering functional, integration, regression, performance, and UAT cycles.
Write negative, boundary, and edge case scenarios for complex multi-cloud and contact center workflows.
Lead exploratory testing for complex and ambiguous workflows, prioritizing coverage based on business impact.
Validate platform configurations, business rules, routing logic, automation workflows, integration touchpoints, and data flows.
Oversee end-to-end testing of integration layers, including API request/response validation and data synchronization.
Lead SIT, E2E, UAT, regression, performance, load, and go-live testing activities.
Facilitate UAT readiness sessions with business stakeholders, guiding them through test scenarios and sign-off processes.
Manage the full defect lifecycle, including creation, triage, prioritization, SLA tracking, and root cause analysis.
Produce defect health reports and quality metrics summaries for program leadership and client stakeholders.
Ensure adherence to quality standards and best practices throughout the project lifecycle.