About This Role
The L2 QA & Technical Support Engineer plays a crucial role in ensuring the quality and performance of Java Spring Boot-based applications. This position is ideal for a proactive individual with a strong background in technical support and quality assurance, who can effectively collaborate with development and DevOps teams.
Responsibilities
- Act as the point of escalation for complex L2 application issues, server errors, and integration failures in Java Spring Boot and RESTful API environments.
- Perform deep-dive log analysis (CloudWatch, ELK, Splunk) and execute database queries to identify root causes of production issues.
- Maintain incident logs, publish clear Root Cause Analysis (RCA) reports, and update support runbooks/knowledge bases.
- Plan and execute end-to-end Manual, Functional, Sanity, Integration, and Regression testing across UAT and Production environments.
- Perform API testing using tools like Postman, Insomnia, or Swagger to validate request/response payloads, status codes, and security.
- Assist in deployment validation, UAT coordination, and post-release sanity checks.
- Work with Git/GitHub/GitLab to inspect code commits, review branch histories, and identify recent code changes linked to bugs or regressions.
- Utilize Linux/Unix command-line tools for log parsing, process monitoring, and environment troubleshooting.
- Collaborate with DevOps teams on CI/CD build issues, container deployments, and deployment health checks.
- Communicate technical updates clearly to internal teams and business stakeholders.
- Participate in on-call support rotations and critical production release windows.
Requirements
- 2 to 4 years of hands-on experience in L2 Technical Support, Application Support, or QA/Testing for web applications.
- Solid understanding of Java, Spring Boot framework, Microservices architecture, and RESTful APIs.
- Strong proficiency in writing and optimizing SQL queries (MySQL, PostgreSQL, or MS SQL Server) for data verification and debugging.
- Experience using log analysis and monitoring tools (CloudWatch, Graylog, ELK, Grafana, or New Relic).
- Hands-on experience with Linux/Unix shell commands and basic shell scripting.
- Functional experience with Git (fetching commits, diff analysis, branch navigation).
- Exceptional analytical and problem-solving skills with strong verbal and written communication abilities.
Nice to have:
- Experience working in the FinTech / Payments domain.
- Basic understanding of cloud platforms (AWS / Azure).
- Exposure to Docker, Kubernetes, and CI/CD pipelines (Jenkins/GitLab CI).
- Knowledge of performance/load testing concepts or tools (JMeter, Postman Collection Runner).
