• Designed and implemented enterprise-grade CI/CD pipelines using Jenkins, GitHub Actions, Docker, and Kubernetes, supporting 50+ microservices and improving release consistency across environments.

• Led large-scale migration of legacy VM-based applications to containerized platforms (Kubernetes/OpenShift), improving scalability and reducing infrastructure costs by ~30%.

• Integrated DevSecOps practices by implementing automated code scanning (SonarQube, Checkmarx, BlackDuck), ensuring compliance with enterprise security standards.

• Built reusable infrastructure automation frameworks using Ansible and Terraform, reducing manual provisioning efforts by over 60%.

• Standardized Git branching strategies (GitFlow) and release management processes across distributed engineering teams, improving collaboration and code quality.

• Improved deployment cycle time by 70% through pipeline optimization, parallel execution, and automated rollback strategies.

• Partnered with SRE and platform teams to implement monitoring solutions using Splunk, Dynatrace, and Prometheus for proactive issue detection.

• Acted as DevOps lead and technical SME, mentoring engineers and driving adoption of cloud-native and automation best practices.

• Supported high-availability production environments with zero-downtime deployment strategies and blue-green releases.

• Developed and automated CI/CD pipelines using Jenkins, Docker, and Ansible, enabling faster and more reliable deployments across banking applications.

• Implemented containerization strategies and conducted Kubernetes POCs, accelerating adoption of modern DevOps practices within the organization.

• Administered and optimized GitLab and Jenkins platforms, improving build performance and developer productivity.

• Configured reverse proxy and routing solutions using Traefik for multi-environment application deployments.

• Automated environment provisioning and configuration using shell scripting and infrastructure automation tools.

• Monitored application and infrastructure performance using Dynatrace, Splunk, and SolarWinds, reducing incident response time.

• Collaborated with cross-functional teams to resolve production issues and improve system reliability.

• Introduced DevOps best practices, including automated testing, version control strategies, and continuous monitoring.

• Built and managed large-scale Hadoop clusters using Ambari and Chef for enterprise analytics platforms.

• Developed data processing pipelines using Hive, Spark, Kafka, and HBase, enabling real-time and batch data analytics.

• Designed and implemented a Java-based web application to visualize infrastructure and analytics data.

• Integrated data ingestion workflows using Sqoop and Oozie, improving data availability and processing efficiency.

• Monitored cluster performance using Nagios and Ganglia, ensuring system uptime and reliability.

• Collaborated with vendors (Hortonworks, Dell) to troubleshoot and resolve critical production issues.

• Optimized big data workloads, improving query performance and reducing processing latency.

• Supported platform scalability and reliability for enterprise data solutions.

• Developed RESTful services and backend components using Java, Spring, and J2EE frameworks.

• Automated build and deployment tasks using shell scripting, improving operational efficiency.

• Enhanced UI components using JSP, HTML, CSS, and JavaScript.

• Maintained source code repositories and supported release management processes.

• Collaborated with QA and support teams to resolve production defects and improve system stability.

• Provided L2/L3 production support for enterprise banking applications, ensuring high system availability.

• Diagnosed and resolved application issues in Java/Spring environments, reducing downtime and improving SLA adherence.

• Implemented monitoring and alerting improvements using Splunk and Introscope.

• Conducted root cause analysis (RCA) and implemented preventive fixes for recurring issues.