Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

What You Will Do

Quality Engineering - Strategy, Transformation and AI-Enabled Innovation

- Define and execute the workstream automation and quality engineering roadmap aligned with technology and business strategy
- Establish governance frameworks, standards, and KPIs for automation, performance testing, and data quality validation
- Drive modernization of legacy testing practices toward scalable, automation-first and DevOps-aligned delivery models
- Lead shift-left quality initiatives and continuous testing strategies across the software development lifecycle
- Drive adoption and responsible implementation of agentic AI tools to enhance quality engineering productivity and intelligence such as
- Automated test case generation and optimization
- Intelligent regression test selection
- Root cause analysis and defect pattern identification
- Automated code review insights and quality risk detection
- Establish governance, security, and compliance standards for AI-assisted development and testing workflows
- Promote human-in-the-loop validation models to ensure reliability, explainability, and accountability in AI-driven quality decisions

Automation & Technical Oversight





- Oversee automation across:

- API testing (Karate + Maven or similar frameworks)

- UI automation (Selenium with Java or Python, JUnit, TestNG)

- Data pipelines and warehouse platforms

- Ensure strong automation coverage for large-scale data engineering workflows and ETL validation

- Establish best practices for validating data accuracy, transformation logic, reconciliation, and integrity

- Lead quality initiatives across AWS-based architectures,

- including services such as Glue, EMR, Lambda, S3, and CloudWatch

- Ensure seamless integration of automation frameworks into CI/CD pipelines using Jenkins, GitLab, or similar tools

- Oversee performance, resiliency, scalability, and reliability testing across distributed systems

Risk Management & Operational Excellence

- Implement defect prevention frameworks, root cause analysis practices, and release governance models
- Ensure compliance with security, regulatory, and enterprise risk standards
- Monitor cost optimization and resource efficiency within quality engineering operations
- Define measurable quality metrics to continuously improve delivery outcomes

Organizational & Team Leadership

- Build, scale, and mentor high-performing automation and quality engineering teams
- Develop leadership bench strength and technical capability within the organization
- Provide performance leadership through clear objectives, career development planning,



mentoring, and active coaching of automation engineers and quality leaders
- Own team performance and overall success of assigned initiatives, ensuring on-time, high-quality delivery
- Influence workforce planning, and team capability development
- Foster a culture of accountability, engineering excellence, and continuous improvement
- Influence cross-functional stakeholders including Architecture, Product Owners, Engineering, Infrastructure, and Data leadership
- Champion continuous improvement initiatives that elevate engineering maturity, automation efficiency, and overall organizational capability

What you will bring :

- Bachelor s degree in Computer Science or Information Systems or equivalent experience
- Minimum eight (8) to ten (10) years’ experience in systems including at least two (2) years’ experience directly leading people, including developing, motivating, and directing people
- Excellent understanding of software quality engineering principles, methodologies, and industry best practices
- Robust background in test automation frameworks (e.g., Selenium, Playwright, RestAssured, JUnit/TestNG, Cucumber, Python, etc.), experience in mentoring the test automation teams preferred.
- Experience integrating automation into CI/CD pipelines (Jenkins, GitLab, GitHub Actions, Azure DevOps, etc.)
- Experience balancing automation investment with ROI, cost efficiency, and long-term maintainability
- Strong data-driven mindset with the ability to translate automation investments into measurable business value
- Solid understanding of cloud platforms (AWS/Azure/GCP), Particularly, AWS tech stack like Glue, etc.,
- Experience or familiarity validating enterprise data warehouse environme

📌 Senior Manager Quality Engineering (Bengaluru)
🏢 Empower
📍 Bengaluru