Apply for Oracle Recruitment 2025! Hiring QA Automation Engineer Job in Across India for 2-4 Years. BE/BTech grads build Python/Java test frameworks for cloud SaaS. CI/CD (Jenkins/GitHub Actions), REST APIs, Docker/K8s, microservices testing.
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Key Job details of QA Automation Engineer job
Company: Oracle
Qualifications: BE/BTech
Experience Needed: 2-4 Years
Job Req ID: 312606
Location: Across India
Job Description
We are seeking a QA Automation Engineer to strengthen the quality and reliability of our cloud-native SaaS platform. The ideal candidate is passionate about automation, cloud technologies, and continuous improvement. Youโll collaborate with developers, DevOps, Functional Quality Assurance and Product teams to build and maintain robust automation frameworks, improve test coverage, and ensure high-quality product releases in a fast-paced, distributed environment.
Key Responsibilities
- Design, develop, and maintain automated test frameworks and scripts using Python and Java for API, UI and dockerized application
- Build and integrate automated tests into CI/CD pipelines (Jenkins or Github action etc.).
- Develop API and backend automation for REST and event-driven services.
- Collaborate with developers and SRE teams to ensure new features are testable, observable, and resilient.
- Conduct functional, regression, integration, and performance testing for cloud-hosted microservices.
- Use logs, metrics, and distributed tracing (CloudWatch, Datadog, Grafana, etc.) to identify and troubleshoot issues.
- Contribute to test strategy and planning during sprint and release cycles.
- Participate in code reviews, ensuring high-quality, maintainable automation code.
- Continuously evolve the QA automation framework to support new technologies and deployment patterns (containers, Kubernetes etc.).
Required Skills & Qualifications
- Bachelorโs degree in Computer Science, Engineering, or related field.
- 2-4 years of hands-on QA automation experience in SaaS or distributed system environments.
- Strong programming skills in Python and Java for automation.
- Experience with automation frameworks like Pytest, TestNG, or JUnit.
- Strong experience testing REST APIs and microservices.
- Familiarity with cloud environments (OCI, AWS, Azure, or GCP).
- Experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI, CircleCI).
- Working knowledge of Docker and Kubernetes.
- Solid understanding of Agile/Scrum development practices.
- Strong analytical and debugging skills, with a proactive approach to identifying issues early.
Preferred Qualifications
- Familiarity with infrastructure as code (Terraform, CloudFormation).
- Experience with performance and load testing (e.g., JMeter, Locust).
- Experience in observability tools (Prometheus, Grafana, Datadog).
How to Apply Oracle Recruitment 2025
Click on Apply to Official Link Oracle Below โ You will go to the Company Official site
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Interview Questions
- Describe designing a Python-based automation framework for REST microservices testing.
- How do you integrate automated tests into GitHub Actions or Jenkins CI/CD pipelines?
- Explain testing event-driven services and handling async API responses.
- Walk through debugging failures using CloudWatch, Datadog, or distributed tracing.
- How would you ensure testability when collaborating with developers on new features?
- Describe automating UI tests for dockerized applications using Java/Selenium.
- What strategies do you use for performance testing with JMeter or Locust?
- Explain evolving automation frameworks to support Kubernetes deployments.
- How do you measure and improve test coverage in Agile sprint cycles?
- Describe a code review process for maintainable automation scripts.
Selection Process
- Resume screening for 2โ4 years automation experience, Python/Java, CI/CD tools.
- Online coding assessment on Python/Java automation scripting and APIs.
- Technical interviews: live coding test frameworks, system design for QA pipelines.
- Behavioral round on Agile collaboration, debugging, and continuous improvement.
Pro Tip
Build a GitHub repo with Python Pytest framework testing a mock microservice (REST APIs, Dockerized), integrated with GitHub Actions CI/CD, including coverage reports and Datadog-style logging. Practice explaining how you’d scale it for Kubernetes and handle flaky container tests.