QA Automation Testing Engineer

7 days ago

Gurgaon, Haryana, India Augusta Infotech Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Hiring, Automation QA Engineers

Qualifications & Experience:

  • 2-5 years of experience working as an automation QA engineer.
  • Expertise in designing and implementing automation strategies.
  • Relevant experience with application development tools and frameworks like Maven, Ant, Checkstyle, PMD, Fortify, JUnit, FitNsse, SOAP UI, etc.
  • Experience using source code management tools, e.g., SVN/GitHub.
  • Rich experience in engineering skills, CI/CD, and build/deployment automation tools.
  • Familiarity with TDD, Three Amigos, and Specification by Example in an agile environment.
  • Experience in implementing automated tests in JavaScript/TypeScript, Java using tools such as Gauge, Cucumber, SoapUI, TestComplete.
  • Good understanding of database concepts, such as data models, schemas, tables, queries, views, stored procedures, triggers, indexes, constraints, and transactions, and SQL.
  • Understanding of tools like DBUnit, Selenium WebDriver, Apache JMeter, Liquibase, Postman will be an added advantage.
  • Hands-on experience with build pipelines and the ability to amend the build process. Experience with Jenkins is a plus.
  • Experience in testing non-functional requirements and exploratory testing.
  • Knowledge of development methodologies such as Scrum, Agile, and Kanban.
  • Experience in contract and pact testing, along with stubbing and mocking (virtualization), will be an added advantage.
  • Exposure to performance testing and defining workloads and strategies to test solutions.
  • Familiarity with AWS services, especially serverless architecture and lambdas, is also nice to have.

Key Differentiators for Team Members:

  • GenAI Proficiency: Experience with AI coding assistants, copilots, tooling, generative code, and documentation. Utilize GenAI for prototyping, automated testing, documentation, and intelligent code reviews.
  • Observability First Approach: Implement metrics, tracing, and logs as code, with real-time dashboards for every service.
  • Continuous Improvement: Conduct data-driven retrospectives powered by AI insights.
  • Contract Driven Mindset: Enforce strict API contracts and versioning to enable parallel development and autonomous team delivery.
  • Limitless Innovation Mindset: View legacy systems as launchpads for new solutions, challenge assumptions, and pioneer innovations.
  • Code as Craft: Write clean, modular, future-proof code with a focus on transforming old platforms into next-gen systems.
  • Self-Healing Systems: Build automated anomaly detection and remediation for platforms to recover without human intervention.
  • Continuous Learning & Knowledge Sharing: Lead by example, host internal tech talks, publish open-source patterns, and mentor peers.
  • Agile at Scale: Deliver incremental value rapidly, learn from feedback loops, and iterate without sacrificing stability.
  • Legacy Modernization Mindset: Break down monoliths into modular microservices, delivering business value in small slices.
  • Customer-Centric Engineering: Ground decisions in improving user outcomes, reducing friction, and accelerating time to value.

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