Role

We are looking for an experienced QA Manager to lead the Quality Assurance function within Kanerika's Product Development team. You will own the end-to-end test strategy across our data engineering, BI/analytics, and AI-ML product lines, build and mentor a team of QA engineers, and drive a quality-first culture across the organization. You will work closely with Development Managers, Product Managers, and client stakeholders to define acceptance criteria, establish robust automation frameworks, and ensure every release meets Kanerika's standards for reliability, accuracy, and performance.

Key Responsibilities

Test Strategy & Leadership

Define and own the overall QA strategy across Kanerika's data, BI, and AI/ML product lines

Build robust, scalable testing frameworks that align with core engineering and business objectives

Lead testing efforts across multiple concurrent projects, balancing priorities and deadlines

Define quality benchmarks, acceptance criteria, and go/no-go release standards

Team Management

Manage, mentor, and grow a team of QA engineers and analysts

Conduct performance reviews, set goals, and support career development within the team

Plan hiring and resourcing for QA needs across active and upcoming projects

Review team output for consistency, thoroughness, and quality of documentation

Automation & Test Frameworks

Architect and drive adoption of test automation frameworks across web, API, and data layers

Evaluate and select automation tooling (e.g., Selenium, Playwright, Cypress, Postman, REST Assured)

Integrate automated test suites into CI/CD pipelines for continuous quality feedback

Champion reusable, maintainable test assets to reduce regression testing effort over time





Data & AI Quality Assurance

Define QA approaches specific to data pipelines, ETL processes, and BI/analytics dashboards

Validate data accuracy, completeness, and consistency across source and target systems

Establish testing protocols for AI/ML model outputs, including accuracy, bias, and performance checks

Partner with data engineering and data science teams to catch quality issues early in the pipeline

Process, Governance & Reporting

Establish and maintain QA processes, defect management workflows, and test case documentation standards

Run sprint-level quality gates in partnership with Agile/Scrum delivery teams

Own UAT coordination with client stakeholders and sign-off on release readiness

Report on quality metrics, defect trends, and test coverage to engineering and client leadership

Identify recurring risk areas and drive root-cause fixes rather than one-off patches

Required Skills & Qualifications

Primary Skill: QA Leadership & Test Management (Mandatory)

8–12 years of overall QA/testing experience, including 3+ years in a QA management or lead role — this is a non-negotiable requirement

Proven experience building and scaling QA processes for enterprise software or data products

Strong command of manual and automated testing methodologies across functional, regression, and performance testing





Experience with test management and defect tracking tools (JIRA, Zephyr, TestRail, or equivalent)

Track record of owning release quality sign-off and managing QA timelines under delivery pressure

Secondary Skill: Automation & SQL (Required)

Hands-on experience with automation frameworks such as Selenium, Playwright, or Cypress

API testing experience using Postman, REST Assured, or similar tools

Strong SQL proficiency for validating data accuracy across pipelines, warehouses, and BI outputs

Familiarity with CI/CD tools (Azure DevOps, Jenkins, or equivalent) for integrated test automation

Understanding of Agile/Scrum delivery and how QA integrates into sprint cycles

Soft Skills

Strong leadership and team management skills

Excellent written and verbal communication, able to translate technical quality issues for non-technical stakeholders

Quality-first mindset with meticulous attention to detail

Self-driven, process-oriented, and comfortable working under delivery pressure

Collaborative team player who thrives in a cross-functional, fast-paced workplace

Education & Certifications

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field

ISTQB certification (or equivalent QA certification) preferred

Certifications in test automation tools or cloud platforms (AWS, Azure, GCP) are a plus

Nice to Have

Prior experience testing BI/reporting platforms such as Power BI or Cognos

Exposure to AI/ML model validation or data governance frameworks

Working knowledge of Python for test automation and data validation scripting

Experience testing products in a client-facing, multi-project consulting workplace

📌 Quality Assurance Manager (Hyderabad)
🏢 Kanerika
📍 Hyderabad