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Senior Quality Assurance Automation Engineer

Luxoft

5 - 10 years

Bengaluru

Posted: 19/02/2026

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Job Description

Project description


One of the world's largest providers of products and services to the energy industry has a need to develop and support enterprise systems in the Oil&Gas domain.

We are looking for a highly motivated and self-organized QA automation engineer to join our team and integrate the automation process into the existing SDLC.


Responsibilities


Lead quality assurance strategy and execution for web applications deployed on AWS and Azure

cloud platforms. Drive test automation initiatives achieving >80% coverage, mentor junior QA

engineers, and ensure delivery excellence across the software development lifecycle. Collaborate

with Product, Development, and DevOps teams to embed quality practices from design through

production deployment.


Skills


Must have

57 years of QA experience for web applications in Agile/Scrum

Web testing: functional, regression, integration/system testing; E2E, smoke/sanity, exploratory, risk-based testing

Test automation (2+ years) with Cypress using JavaScript/TypeScript

REST API testing (Postman, REST Assured, or similar); validation of status codes/schemas/error handling; auth testing (OAuth2/JWT/SSO)

CI/CD integration and automated test execution in pipelines (GitLab CI, Azure DevOps Pipelines, or Jenkins)

Cloud deployment validation on AWS and Azure

Test/defect management tools (Azure DevOps Test Plans/Boards or equivalent)

Version control: Git (GitLab/GitHub)

Scripting and data validation: Python and/or Bash; basic SQL for database checks

Leadership: driving QA initiatives, mentoring, defining quality gates, defect triage


Nice to have

Performance/load testing (k6, JMeter, Gatling)

Security testing awareness (OWASP Top 10; Burp Suite / OWASP ZAP / Snyk)

Docker/Kubernetes validation testing

Observability/monitoring tools (CloudWatch, Azure Monitor, Datadog, New Relic, ELK/Splunk)

GraphQL API testing and/or contract testing

Experience with large datasets/ETL validation, Kafka/event-driven systems, or geospatial data testing

Domain exposure to Oil & Gas / Energy software is a plus

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