Location: Noida, Uttar Pradesh | On-site

Experience: 6 - 10 Years

Employment: Full-Time

Company: Solutionara Private Limited

Industry: IT Consulting & Technology Services

About Solutionara

Solutionara is a U.S.-based IT Consulting and Technology Services firm with a Global Delivery Center in Noida, India.

As a fast-scaling consulting firm, we operate with high ownership, lean teams, and disciplined execution. We are also evolving toward an AI-enabled delivery model, focused on enterprise integration, digital transformation, and scalable technology solutions for global clients.

Our GDC plays a critical role in building high-impact engineering and delivery teams while driving operational excellence through structured processes and intelligent automation.

Role Overview

Solutionara is looking for a QA Lead – Quality Engineering & Automation to lead quality engineering activities across enterprise application, integration, cloud, data, and digital transformation engagements.

This is a hands-on QA leadership role. The individual will be expected to provide technical and delivery leadership to QA engineers while remaining actively involved in test strategy, manual/functional testing, test automation, API testing, defect analysis, release validation, and quality governance.

The QA Lead will work closely with Project Managers, Technical Project Managers, Solution Architects, Developers, DevOps Engineers, Integration Engineers, Product/Business teams, and client stakeholders to ensure quality is built into the delivery lifecycle rather than treated only as a final testing activity.

The ideal candidate should be equally comfortable developing an automation framework, reviewing test scenarios, investigating a production defect, coordinating UAT/release readiness, and guiding QA team members.

What You’ll Do

QA Leadership & Quality Ownership

- Own QA planning and execution across assigned projects and releases.
- Define the overall test strategy, test approach, scope, estimates, environments, entry/exit criteria, and quality gates.
- Lead and guide QA engineers across manual and automation testing activities.
- Review test plans, test scenarios, test cases, automation coverage, defect reports, and testing evidence.
- Assign and coordinate QA activities based on project priorities, release schedules, dependencies, and team capacity.
- Mentor QA team members and support development of stronger testing, automation, and analytical capabilities.
- Partner with Project Managers and engineering leads to identify quality risks early and establish appropriate mitigation plans.
- Provide clear visibility into testing progress, defect trends, blockers, release risks, and overall product quality.
- Promote accountability, ownership, collaboration, and continuous improvement within the QA function.

Manual & Functional Testing

- Remain hands-on with functional, regression, integration, system, exploratory, smoke, sanity, and end-to-end testing where required.
- Analyze business and technical requirements and translate them into comprehensive test scenarios and test cases.
- Validate complex workflows across web applications, APIs, integrations, databases, and enterprise systems.
- Perform positive, negative, boundary, exception, and data-validation testing.
- Validate cross-browser and responsive application behavior where applicable.
- Identify gaps and ambiguities in requirements before they become downstream defects.
- Ensure adequate regression coverage for releases and production changes.
- Support User Acceptance Testing (UAT), including test preparation, defect triage, validation, and business-user coordination.

Test Automation

- Design, develop, maintain, and improve scalable test automation frameworks.
- Identify appropriate candidates for automation based on business criticality, repeatability, regression requirements, risk, and return on automation effort.
- Develop and maintain automated tests for web applications and APIs.
- Establish reusable automation components, coding standards, test-data approaches, reporting, and framework best practices.
- Review automation code developed by QA engineers and provide technical guidance.
- Improve automation coverage while ensuring automated tests remain reliable, maintainable, and relevant.
- Diagnose and resolve flaky or unreliable automated tests.
- Integrate automated test suites with CI/CD pipelines to support continuous testing and faster release feedback.
- Track automation effectiveness and continuously identify opportunities to reduce repetitive manual testing.

API, Integration & Data Validation

- Perform functional and automated testing of REST APIs and service integrations.
- Validate request/response structures, status codes, authentication, error handling, business rules, and data integrity.
- Use tools such as Postman, Swagger/OpenAPI,



or equivalent API testing tools.
- Validate data across application, API, integration, and database layers using SQL where appropriate.
- Test system-to-system workflows, asynchronous processes, interfaces, and third-party integrations.
- Work with Integration and Development teams to identify failures across APIs, middleware, applications, databases, and external dependencies.
- Validate error handling, retry behavior, exception scenarios, and recovery processes.

Defect Management & Root Cause Analysis

- Own disciplined defect lifecycle management from identification through closure.
- Ensure defects contain appropriate evidence, reproducible steps, severity/priority, environment details, and business impact.
- Lead or participate in defect triage discussions with engineering, product, delivery, and client teams.
- Distinguish between application defects, test-data issues, environment problems, integration failures, and requirement gaps.
- Perform defect trend analysis and identify recurring quality issues.
- Participate in Root Cause Analysis (RCA) for major defects and production incidents.
- Work with engineering teams to ensure corrective and preventive actions are implemented where appropriate.

Release & Production Quality

- Support QA readiness across development, QA, UAT, staging, and production environments.
- Assess testing completeness and provide evidence-based recommendations on release readiness.
- Ensure critical defects and known risks are clearly communicated before production deployment.
- Participate in release planning, cutover, deployment validation, smoke testing, and post-release verification.
- Support production incident investigation and defect reproduction when required.
- Maintain appropriate traceability between requirements, testing, defects, and release outcomes.

Quality Governance & Reporting

- Establish practical QA standards, templates, checklists, and testing processes appropriate for a growing technology services organization.
- Track relevant quality metrics including test execution, pass/fail trends, defect leakage, defect aging, severity distribution, automation coverage, regression results, and release quality.
- Provide concise QA status reporting to Project Managers, Delivery Leadership, and other stakeholders.
- Identify emerging quality risks early rather than waiting until the end of the testing cycle.
- Participate in project governance and release-readiness discussions.
- Help standardize QA practices across projects while allowing appropriate flexibility based on technology and client requirements.

AI-Assisted Quality Engineering

- Use approved AI-assisted tools to improve productivity across test-case development, test-data preparation, automation development, defect analysis, documentation, and test coverage analysis.
- Evaluate opportunities to use AI to identify testing gaps and improve regression coverage.
- Encourage responsible use of AI-assisted engineering tools while maintaining appropriate review, security, confidentiality, and quality controls.
- Explore practical ways to improve QA efficiency without compromising engineering rigor or test effectiveness.

Required Qualifications & Experience

- 6–10 years of overall software quality assurance / quality engineering experience.
- Demonstrated experience leading QA activities or providing technical leadership to QA engineers.
- Solid hands-on experience in both manual testing and test automation.
- Experience defining test strategies, test plans, test scenarios, estimates, and release-quality criteria.
- Strong understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).
- Strong experience with functional, regression, integration, system, exploratory, and end-to-end testing.
- Hands-on experience developing and maintaining automation frameworks using tools such as Selenium, Playwright, Cypress, or comparable technologies.
- Programming/scripting capability using Java, JavaScript/TypeScript, Python, or another relevant automation language.
- Strong API testing experience using Postman, REST Assured, Playwright API testing, or equivalent tools.
- Working knowledge of SQL and ability to perform database/data validation.
- Experience with defect and test-management platforms such as Jira, Azure DevOps, TestRail, Zephyr, Xray, or comparable tools.
- Understanding of Git/version control and CI/CD concepts.




- Experience integrating automated testing into CI/CD pipelines.
- Experience troubleshooting defects across application, API, integration, database, and environment layers.
- Strong understanding of defect management, severity/priority classification, RCA, regression strategy, and release validation.
- Experience working in Agile/Scrum and/or hybrid delivery environments.
- Ability to work effectively with developers, architects, DevOps engineers, business analysts, project managers, and client stakeholders.
- Strong analytical, troubleshooting, documentation, and communication skills.
- Ability to balance hands-on execution with team leadership and delivery accountability.

Technical Fluency The QA Lead is not expected to function as a software architect, but should possess sufficient technical depth to understand and test modern enterprise solutions involving:

- Web and responsive applications
- REST/SOAP APIs
- Microservices and distributed applications
- Third-party and enterprise integrations
- Relational and NoSQL databases
- Cloud-hosted applications, preferably AWS and/or Azure
- Authentication, authorization, RBAC, OAuth/JWT, and application security concepts
- CI/CD and DevOps workflows
- Development, QA, UAT, staging, and production environments
- Event-driven and asynchronous workflows
- Logs, monitoring, incidents, and Root Cause Analysis
- Deployment, release, rollback, and production-support processes

The individual should be able to understand what is being tested, where a failure is occurring, its likely technical layer, its business impact, and what evidence engineering teams need to diagnose it.

Preferred Qualifications

- Experience within IT consulting, technology services, or Global Delivery Center (GDC) environments.
- Experience supporting U.S. or other global clients and distributed engineering teams.
- Experience testing enterprise applications, cloud solutions, APIs, integrations, data platforms, digital commerce, PIM/DAM, ERP, CRM, or similar enterprise technology solutions.
- Exposure to performance testing tools such as JMeter, k6, or equivalent.
- Exposure to basic application security testing and OWASP concepts.
- Experience with AWS and/or Azure environments.
- Experience with Docker/containerized applications.
- Experience with integration platforms, middleware, Boomi, API management, or event-driven systems is advantageous.
- Experience establishing or improving QA processes within a growing engineering organization.
- Experience with AI-assisted development/testing tools such as GitHub Copilot or comparable solutions.
- Relevant QA/testing certifications are beneficial but not mandatory.

What Success Looks Like Success in this role means:

- Quality is considered from requirements and design through production, not only during the final testing phase.
- QA risks and testing dependencies are identified early.
- Manual testing is disciplined and focused on scenarios requiring human judgment and exploratory validation.
- Automation coverage grows strategically rather than simply increasing the number of automated scripts.
- Regression testing becomes faster and more reliable.
- Automated tests are maintainable and integrated into delivery pipelines.
- Defects contain actionable technical evidence and are triaged efficiently.
- Critical defects are identified before production.
- QA provides objective evidence for release-readiness decisions.
- Production defect leakage and recurring quality issues are actively reduced.
- QA engineers receive appropriate technical direction, mentoring, and accountability.
- Project and delivery leadership have clear visibility into quality, testing progress, risks, and release readiness.
- The QA Lead remains sufficiently hands-on technically to challenge assumptions, investigate problems, and guide the team, rather than functioning only as a QA coordinator.

Additional Information

- Immediate joiners are strongly preferred.
- Candidates based in or near Noida Sector 62 (Delhi NCR) are preferred.
- Level 1 of the selection process is an AI-conducted web interview.

Pay: ₹900,000.00 - ₹1,400,000.00 per year

Ability to commute/relocate

- Noida, Uttar Pradesh 201309: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):
- What is your current CTC (fixed + variable, in LPA)?
- What is your expected CTC (in LPA)?
- What is your notice period? (Immediate / Currently serving notice / 15 days / 30 days / 60 days / 90 days)
- If you are currently serving your notice period, what is your last working day? (DD/MM/YYYY; write NA if not applicable)
- Level 1 of our interview process is an AI-conducted web interview. Do you agree to take this AI web interview? (Yes/No)
- What is your current location (city and area/sector)? This role is on-site at Sector 62, Noida.

Work Location: In person

📌 QA Lead - Quality Engineering & Automation (Noida)
🏢 Solutionara
📍 Noida