L3 Support Engineer

4 - 8 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As an experienced L3 Support Engineer with expertise in Java-based applications, database troubleshooting, and DevSecOps practices, your role will involve handling escalations from L1/L2 teams, debugging Java applications, performing advanced SQL query analysis, managing CI/CD pipelines, and ensuring SLAs are met by monitoring and resolving incidents. Key Responsibilities: - Handle escalations from L1/L2 teams, perform root cause analysis, and resolve complex production issues. - Debug Java applications (Spring, REST APIs, microservices) in production and staging environments. - Collaborate with development teams to provide permanent fixes and suggest code-level improvements. - Perform advanced SQL query analysis, indexing, and query optimization. - Diagnose DB performance issues, deadlocks, replication errors, and data integrity concerns. - Manage CI/CD pipelines (Jenkins, GitLab CI, or similar) for deploying hotfixes and releases. - Apply security best practices in application and infrastructure support (vulnerability scanning, patching). - Automate monitoring, alerts, and log analysis using tools like ELK/EFK, Prometheus, Grafana, or Splunk. - Ensure SLAs are met by monitoring, triaging, and resolving P1/P2 incidents. - Conduct post-incident reviews and drive permanent fixes via problem management. - Maintain runbooks, SOPs, and knowledge base for recurring issues. Qualification Required: - Strong knowledge of Java / J2EE, Spring Boot, REST APIs debugging. - Hands-on experience with SQL / Oracle / PostgreSQL / MySQL query tuning & troubleshooting. - Familiarity with CI/CD tools (Jenkins, GitLab, Azure DevOps). - Knowledge of DevSecOps practices including security scanning, compliance automation, and secrets management. - Exposure to cloud platforms such as AWS, Azure, GCP, and container orchestration tools like Docker, Kubernetes, OpenShift. - Familiarity with monitoring & logging tools like Splunk, ELK, Prometheus, Grafana. - Ability to leverage AI technologies for process optimization and day-to-day work.,

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