Lead Software Dev Engineer Test II

Metlife; Hyderabad; Hybrid; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

MetLife seeks a Lead Software Development Engineer in Test (SDET) to drive quality for Group Disability and Absence solutions in a hybrid Hyderabad setting. This hands-on leader will define testing strategies, build automation, and oversee end-to-end validation across claims, absence, benefit calculations, payments and servicing.

The role partners with business and technology teams to ensure solutions are accurate, secure, and production-ready, while mentoring engineers and shaping testing

Qualifications

• Bachelor's degree or equivalent in CS/Engineering or related field.
• 10+ years in quality engineering, test automation, software testing or development.
• Hands-on testing for applications, APIs, databases and integrations both manual and automated.
• Proficiency in Java, Python, JavaScript, or TypeScript.
• Experience with Playwright, Selenium, TOSCA, REST Assured, Postman, or similar.
• Experience with API testing, SQL, test-data management, CI/CD, and cloud-native apps.
• Strong risk-based, exploratory, regression, integration, and end-to-end testing knowledge.
• Technical leadership, communication, and stakeholder-management skills.
• Knowledge of disability claims, leave processes, benefit calculations and workflows.
• Experience with Azure, GitHub, AI-assisted engineering tools, containers and observability platforms.
• Experience leading quality engineering across multiple Agile teams.
• Familiarity with performance, accessibility, security and data privacy testing.

Responsibilities

• Define and lead risk-based test strategies for Group Disability and Absence solutions.
• Translate business and technical requirements into test plans, test scenarios and automated tests.
• Design and maintain automation for UI, APIs, databases, integrations, batch processes and end-to-end workflows.
• Validate disability claims, leave eligibility, benefit calculations, payments, correspondence and servicing processes.
• Integrate automated testing into CI/CD pipelines and provide continuous quality feedback.
• Lead defect triage, root-cause analysis, release validation and production-readiness assessments.
• Ensure testing addresses performance, security, privacy, accessibility, regulatory and operational requirements.
• Use approved AI-assisted tools to support test creation, automation development, failure analysis and defect triage.
• Establish reusable automation patterns and quality engineering standards.
• Mentor engineers and communicate quality risks and release recommendations to stakeholders.

Skills

Test automation

Quality engineering

Leadership

Java

Python

JavaScript

Selenium

Playwright

CI/CD

Azure

Stakeholder mgmt

Education

Bachelor's degree in CS/Engineering or related

Tools

Playwright

Selenium

TOSCA

REST Assured

Postman

CI/CD tooling

Azure

GitHub

Job description

Job Details

• Location: Hyderabad, Telangana
• Working Schedule: Full-Time
• Work Arrangement: Hybrid
• Relocation Assistance Available: Yes

Job Summary

MetLife is seeking a Lead Software Development Engineer in Test, SDET, to lead quality engineering for Group Disability and Absence solutions.

This hands-on role will define testing strategies, develop automation, and lead end-to-end validation for applications supporting disability claims, absence and leave management, benefit calculations, payments, and customer servicing. The Lead SDET will partner with business and technology teams to ensure solutions are accurate, secure, reliable, and production-ready.

Key Responsibilities

• Define and lead risk-based test strategies for Group Disability and Absence solutions.
• Translate business and technical requirements into test plans, test scenarios, and automated tests.
• Design and maintain automation for user interfaces, APIs, databases, integrations, batch processes, and end-to-end workflows.
• Validate disability claims, leave eligibility, benefit calculations, payments, correspondence, and servicing processes.
• Integrate automated testing into CI/CD pipelines and provide continuous quality feedback.
• Lead defect triage, root-cause analysis, release validation, and production-readiness assessments.
• Ensure testing addresses performance, security, privacy, accessibility, regulatory, and operational requirements.
• Use approved AI-assisted tools to support test creation, automation development, failure analysis, and defect triage.
• Establish reusable automation patterns and quality engineering standards.
• Mentor engineers and communicate quality risks and release recommendations to stakeholders.

Required Qualifications

• Bachelor's degree in computer science, Engineering, Information Technology, or a related field, or equivalent experience.
• 10 or more years of experience in quality engineering, test automation, software testing, or software development.
• Strong hands-on experience developing tests for applications, APIs, databases, and integrations both manual and automated.
• Proficiency in Java, Python, JavaScript, TypeScript, or a comparable programming language.
• Experience with Playwright, Selenium, TOSCA, REST Assured, Postman, or similar technologies.
• Experience with API testing, SQL, test-data management, CI/CD, and cloud-native applications.
• Strong understanding of risk-based, exploratory, regression, integration, and end-to-end testing.
• Strong technical leadership, problem-solving, communication, and stakeholder-management skills.
• Knowledge of disability claims, leave processes, benefit calculations, payments, and return-to-work workflows.
• Experience with Azure, GitHub, AI-assisted engineering tools, containers, and observability platforms.
• Experience leading quality engineering across multiple Agile teams.
• Familiarity with performance, accessibility, security, and data privacy testing.

Leadership Expectations

• Remain hands-on while providing technical direction across delivery teams.
• Lead quality engineering from solution discovery through production implementation.
• Connect customer, operational, and regulatory risks to the testing approach.
• Provide objective assessments of solution quality and release readiness.
• Mentor engineers and promote shared accountability for quality.