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.
Mandatory Skills Description:
- 5–7 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 Skills Description:
- 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
