Manager, Quality Assurance & Consulting
NeuraFlash
IndiaremotePosted 8 days ago
Skill Required
Quality-AssuranceQuality-EngineeringQA-ManagementQA-Engineering-ManagerConsultingSenior-Quality-Assurance-ManagerQuality-Assurance-Program-ManagerQuality-Assurance-ConsultantSenior-Quality-ManagerQuality-And-Compliance-ManagerQA-QC-ManagerQuality-Assurance-Project-ManagerQuality-ManagerQA-ManagerOperations-Quality-ManagerBusiness AnalysisGenerative AIEngineeringSalesforceautomationanalyticssecuritybuildingTestNGdesignDevOpsCI/CDAgileCloudAWSandCICDAIFulltime
Key highlights
- 12+ years of experience in Quality Engineering with 4+ years leading teams.
- Proven experience delivering enterprise Salesforce and/or AWS implementations in consulting.
- Strong focus on applying Generative AI and Agentic AI to modernize QA practices.
- Up to 25% travel commitment.
- Remote work flexibility with optional in‑person hubs.
- Leadership responsibility to build a Quality Engineering practice and foster an inclusive culture.
Role overview
The Manager – Quality Assurance & Consulting at NeuraFlash, Part of Accenture combines deep Quality Engineering expertise with product engineering, business analysis, Agile delivery, and practice leadership to drive enterprise Salesforce and/or AWS delivery programs and build a high‑performing QA practice.
Responsibilities
- Own end‑to‑end Quality Engineering for enterprise Salesforce and/or AWS delivery programs.
- Define Test Strategy, Test Plans, Quality Gates, Release Readiness, and overall testing approach.
- Lead Functional, API, Integration, System, Regression, Performance, Security, AI, and Non‑Functional testing.
- Proactively identify delivery risks, drive mitigation plans, and act as a trusted advisor to project stakeholders.
- Partner with Product, Engineering, and Delivery teams to embed quality throughout the software development lifecycle.
- Build scalable automation frameworks, CI/CD quality gates, and reusable engineering assets.
- Drive shift‑left testing, DevOps‑based quality practices, and engineering productivity.
- Leverage Generative AI and Agentic AI to automate testing, improve quality processes, and build AI‑assisted Quality Engineering capabilities with appropriate human oversight.
- Foster a culture of experimentation, continuous improvement, and innovation.
- Understand client business processes and translate them into effective quality strategies.
- Collaborate with Product Owners, Architects, and Engineering teams to improve solution quality from design through deployment.
- Lead Agile delivery by supporting Scrum ceremonies, sprint planning, backlog refinement, dependency management, and release planning.
- Balance hands‑on execution with strategic leadership based on project needs.
- Build and grow the Quality Engineering practice through standardization, governance, and continuous improvement.
- Lead hiring, onboarding, mentoring, career development, goal setting, performance reviews, and succession planning.
- Own resource planning, utilization, capacity forecasting, staffing, operational reporting, and executive escalations.
- Establish reusable frameworks, best practices, KPIs, and Centers of Excellence that improve delivery across the organization.
- Create an inclusive, high‑performing culture built on trust, accountability, collaboration, and technical excellence.
Requirements
- 12+ years of experience in Quality Engineering, with 4+ years leading high‑performing engineering teams.
- Strong hands‑on expertise across Functional, Automation, API, Integration, Performance, Security, and Enterprise Testing.
- Proven experience delivering enterprise Salesforce and/or AWS implementations within a consulting environment.
- Experience building automation frameworks, DevOps‑enabled testing practices, and Quality Engineering strategies.
- Strong understanding of Agile methodologies with experience leading Scrum teams and collaborating across cross‑functional organizations.
- Demonstrated success managing people, delivery operations, utilization, forecasting, staffing, executive communications, and stakeholder management.
- Passion for applying Generative AI and Agentic AI to modernize Quality Engineering practices.
- Excellent communication, leadership, consulting, and problem‑solving skills.
Nice to have
- Experience with Amazon Connect, Service Cloud Voice, IVR, Contact Center, Conversational AI, or Agentic AI implementations.
- Certifications such as ISTQB, Scrum Master, Salesforce, AWS, or SAFe.
- Experience establishing a Quality Engineering Center of Excellence or Practice.
Benefits
- Up to 25% travel commitment.
- Remote work flexibility with optional HQ in Massachusetts or regional hubs.
- Flexible work schedules to accommodate personal responsibilities.
- Inclusive, high‑performing culture built on trust, accountability, and collaboration.
- Opportunities to celebrate successes through events such as arm‑wrestling contests, costume parties, and ugly holiday sweaters.
Additional details
- NeuraFlash, Part of Accenture, is a leader in AI, AWS, and Salesforce innovation, crafting intelligent solutions integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce, etc.
- NeuraFlash was selected as the only partner for the private beta of Salesforce’s Agentforce before launch and is now the #1 partner for Agentforce after launch.
- The company creates generative AI and AI agents.
- The role includes collaboration with trailblazing experts and the opportunity to build impactful AI‑powered solutions.
- The Equal Employment Opportunity Statement emphasizes inclusive hiring practices.
- Originally posted on Himalayas.