Staff Automation Engineer

gehc; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

GE Healthcare is seeking an experienced Staff Automation Engineer to lead automation strategy, framework development, and quality engineering practices for cloud-native healthcare applications and enterprise data platforms within AIS Digital - Imaging360.

The ideal candidate will bring 8-10 years of experience across UI, API, ETL, database, cloud, and data validation automation, with strong expertise in Playwright, TypeScript, PyTest, REST API automation, AWS, SQL, and CI/CD integration.

Qualifications

• 8-10 years of experience in software test automation and quality engineering.
• Experience across UI, API, ETL, database and cloud automation.
• Strong knowledge of Playwright, TS, PyTest, REST API tools, AWS, SQL and CI/CD integration.

Responsibilities

• Lead automation strategy, framework architecture, and roadmap execution across applications, services, and data platforms.
• Design, develop, and maintain scalable automation frameworks for UI, API, integration, regression, and deployment validation using Playwright, TS, PyTest, Python, SQL, and REST APIs.
• Define and execute validation strategies for ETL pipelines, data warehouses, data migration, and data quality checks.
• Collaborate with architects, developers, and DevOps to integrate automation into Agile and CI/CD workflows.
• Mentor automation engineers; review test strategies, code quality, and implementation approaches.

Skills

Playwright

TypeScript

PyTest

Python

REST API automation

AWS

SQL

CI/CD pipelines

Automation strategy

Education

Bachelor's degree in Computer Science or related

Tools

Git/GitLab

Jenkins

Job description

Job Description Summary

We are seeking an experienced Staff Automation Engineer to lead automation strategy, framework development, and quality engineering practices for cloud-native healthcare applications and enterprise data platforms within AIS Digital - Imaging360. The ideal candidate will bring 8-10 years of experience across UI, API, ETL, database, cloud, and data validation automation, with strong expertise in Playwright, TypeScript, PyTest, REST API automation, AWS, SQL, and CI/CD integration.

GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Job Description

Roles and Responsibilities:

In this role, you will:

• Lead automation strategy, framework architecture, and roadmap execution across applications, services, and data platforms.
• Design, develop, and maintain scalable automation frameworks for UI, API, integration, regression, smoke, deployment validation, and end-to-end testing using Playwright, TypeScript, PyTest, Python, SQL, and REST API tools.
• Define and execute validation strategies for ETL pipelines, data warehouses, data migration, source-to-target reconciliation, data quality, business rules, and analytical reporting outputs.
• Validate cloud-native microservices and enterprise data services deployed on AWS, including RDS platforms such as MySQL, PostgreSQL, and SQL Server.
• Integrate automation into Agile and DevOps workflows, including CI/CD pipelines, quality gates, release-readiness checks, and shift-left testing practices.
• Drive Scrum-level test governance by defining standards, tracking test and automation coverage, reviewing adherence to best practices, and improving sprint-level quality discipline.
• Promote AI-enabled testing across strategy, test design, test data preparation, automation development, execution analysis, defect triage, and reporting.
• Guide, mentor, and review automation engineers' test strategy, framework design, code quality, reusable components, pull requests, and implementation approach.
• Showcase automation effectiveness, test coverage, quality risks, defect trends, and release readiness through dashboards, metrics, traceability reports, and stakeholder summaries.
• Collaborate with architects, developers, product owners, DevOps, system test, and integration test teams to solve technical problems and continuously improve quality outcomes.

Technical Skill Set:

• Automation frameworks: Strong hands-on experience with Playwright, TypeScript, PyTest, Python, REST API automation, reusable automation patterns, reporting, and data-driven execution.
• Quality engineering: Strong understanding of SDLC, STLC, Agile, TDD/BDD, shift-left testing, test pyramid, risk-based testing, test coverage, traceability, and quality gates.
• Data and database testing: Expertise in ETL testing, data warehouse validation, data migration, SQL validation, source-to-target reconciliation, data quality checks, query optimization, and business rule validation.
• Cloud and DevOps: Experience testing AWS-based microservices, cloud data services, RDS platforms, Git/GitLab, Jenkins, Artifactory, CI/CD pipelines, deployment validation, and release automation.
• AI-enabled testing: Hands-on use of GenAI tools such as GitHub Copilot for test strategy, test data preparation, test design, automation scripting, execution analysis, defect triage, and quality reporting.
• Governance and reporting: Ability to define and present test coverage, automation coverage, quality metrics, risk coverage, Scrum-level governance, and best-practice adoption across Agile teams.
• Technical leadership: Ability to guide, mentor, and review automation engineers' design, code, and strategy while influencing quality practices and communicating automation status, risks, and outcomes to stakeholders.

Education Qualification:

Bachelor' s degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Data Engineering, or a related STEM discipline with 8-10 years of relevant experience in software testing, test automation, quality engineering, cloud testing, or enterprise data platform validation.

Desired Characteristics:

• Experience leading automation initiatives for healthcare applications, regulated software products, SaaS solutions, or enterprise data platforms.
• Demonstrated ability to define automation strategy, institutionalize testing best practices, and scale quality engineering practices across Scrum teams.
• Strong technical problem-solving skills with the ability to analyze complex automation, test data, environment, cloud, and data validation challenges.
• Experience collaborating with architects, developers, product owners, DevOps engineers, system test teams, integration test teams, and quality stakeholders.
• -Ability to build dashbo