QA / Automation Engineer

We are seeking a highly skilled QA Automation Engineer to design, develop, and execute automated test solutions across web, API, database, and event-driven systems. The ideal candidate has strong programming expertise, hands-on experience with automation frameworks, and a deep understanding of backend systems including APIs, databases, messaging queues, and log monitoring tools.

The QA Automation Engineer will collaborate closely with development, DevOps, and product teams to ensure high-quality, scalable, and reliable software releases.

• Design, develop, and maintain automation frameworks for web, API, and backend testing.
• Author and execute automation scripts using languages such as Java, Python, C#, or JavaScript.
• Build and maintain API automation using tools like Postman, RestAssured, or SoapUI.
• Perform database testing, including validation of ledger entries, transactions, and backend workflows using SQL, Oracle, and CockroachDB.
• Develop and manage automated test suites using JUnit, TestNG, PyTest, and Cucumber.
• Integrate automated tests into CI/CD pipelines using Jenkins, GitLab CI, or GKP DevOps.
• Use Git for version control, branching strategies, and code collaboration.
• Monitor and analyze application and test execution logs using Splunk or ELK Stack.
• Validate event-driven systems, message brokers, and ledger processing with Kafka and RabbitMQ.
• Track, report, and manage defects using JIRA or Azure Boards.
• Participate in test planning, requirements review, and risk-based testing strategies.
• Continuously enhance automation coverage and contribute to quality engineering best practices.

• 3–8 years of experience in QA Automation or Software Testing.
• Strong programming skills in Java, Python, C#, or JavaScript.
• Hands-on experience with API testing and automation frameworks/tools.
• Solid understanding of database queries, data validation, and transaction-based systems.
• Experience with test frameworks such as JUnit, TestNG, PyTest, or Cucumber.
• Working knowledge of CI/CD pipelines, build systems, and automated execution workflows.
• Familiarity with reading and analyzing application logs, preferably using Splunk or ELK.
• Experience testing event-driven systems, message queues, or streaming platforms.
• Strong understanding of SDLC, QA methodologies, and automation best practices.
• Excellent analytical, problem-solving, and communication skills.

• Experience with ledgering or financial systems.
• Knowledge of microservices architecture and distributed systems.
• Exposure to containerization tools such as Docker or Kubernetes.
• Performance testing experience is a plus.