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DevOps Engineer / Site Reliability Engineer
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Competencies
Demonstrated experience with Shell Scripting.
Demonstrated experience with Python.
Demonstrated experience with Java.
Demonstrated experience with SQL.
Demonstrated experience with Spring Boot.
Education
Summary
DevOps Engineer / Site Reliability Engineer open to new opportunities
Experience
DevOps Engineer / Site Reliability Engineer
Containerized microservices using Docker and deployed them across production Kubernetes clusters hosted within on-prem and hybrid infrastructure, improving scalability, deployment consistency, and operational stability.. Managed application deployments using Kubernetes, Docker, and Helm, implementing rolling deployments, rollback strategies, blue-green releases, and auto-scaling for high-volume production systems.. Optimized Kubernetes clusters by tuning pod scaling, resource allocation, readiness/liveness probes, and container orchestration strategies across Linux-based infrastructure.. Built and optimized CI/CD pipelines using GitHub Actions, Jenkins, Maven, and Docker, automating build, deployment, rollback, and validation processes for microservices-based applications.. Integrated GitHub Actions pipelines with Helm-based Kubernetes deployments, implementing automated validation checks, artifact versioning, deployment approvals, and rollback readiness.. Collaborated with DevOps and platform teams to improve CI/CD practices using GitHub Actions, Docker, Helm, and Kubernetes, increasing deployment reliability and reducing production rollout failures.. Designed and implemented Infrastructure as Code (IaC) solutions using Terraform and Ansible, automating provisioning, server configuration, and deployment setup across Linux infrastructure.. Automated operational tasks using Terraform, Ansible, Shell scripting, and Python, reducing manual effort and improving infrastructure consistency across multiple deployment stages.. Integrated Terraform, Ansible, GitHub Actions, and Helm into deployment pipelines, enabling automated infrastructure provisioning and repeatable release management.. Established centralized monitoring using Prometheus, Grafana, Splunk, and ELK Stack, enabling proactive visibility into application health, JVM performance, Kafka lag, and infrastructure stability.. Configured advanced alerting using Prometheus Alertmanager and Grafana dashboards, improving early detection of performance bottlenecks, API latency spikes, and Kubernetes workload failures.. Built operational dashboards using Grafana integrated with Prometheus, providing real-time visibility into application throughput, infrastructure utilization, and SLA metrics.. Performed deep troubleshooting across Linux systems, Kubernetes clusters, JVM-based applications, and middleware services, resolving memory leaks, API failures, and production stability issues.. Reduced MTTR by implementing structured incident response procedures, automated alerting workflows, centralized monitoring, and operational runbooks for production support teams.. Worked within hybrid infrastructure supporting GCP services including Google Kubernetes Engine, Cloud Monitoring, Cloud Logging, IAM, VPC, and cloud-based deployment integrations connected with on-prem Kubernetes and Linux-based systems.. Utilized Terraform to provision and manage GCP resources including GKE clusters, VPC networking, IAM roles/policies, firewall rules, service accounts, and Cloud Monitoring configurations within hybrid deployment environments.. Integrated Prometheus, Grafana, Splunk, and GCP Cloud Monitoring to provide centralized observability across hybrid Kubernetes-based infrastructure, enabling visibility into application health, infrastructure utilization, API latency, and workload failures.. Participated in 24/7 on-call rotations supporting Linux servers, Kubernetes clusters, Kafka platform and containerized microservices, resolving P1/P2 incidents within SLA timelines.
Site Reliability Engineer / Java Backend Engineer
Developed and enhanced enterprise banking applications using Java, Spring Boot, and Spring MVC, building scalable backend services for payment processing, transaction validation, and distributed financial workflows.. Designed and supported event-driven microservices architecture using Java, Spring Boot, Apache Kafka, Docker, and Kubernetes for scalable enterprise banking workflows.. Participated in the modernization of legacy monolithic banking applications into Java-based microservices using Spring Boot, improving scalability, fault isolation, maintainability, and deployment flexibility across distributed enterprise environments.. Designed and developed RESTful APIs using Java, Spring Boot, Hibernate, and JPA, enabling secure communication between distributed microservices and internal banking systems.. Implemented asynchronous communication between Spring Boot microservices using Apache Kafka, improving reliability, event-driven processing, and transaction throughput across enterprise banking platforms.. Refactored tightly coupled monolithic modules into independently deployable microservices using Java, Spring Boot, and Kafka, reducing deployment dependencies and improving release efficiency.. Built and optimized CI/CD pipelines using GitHub Actions, Jenkins, Maven, and Docker, automating build, test, deployment, and rollback processes for Spring Boot microservices.. Containerized Java Spring Boot microservices using Docker and deployed them on enterprise Kubernetes clusters using Helm charts, enabling scalable and highly available distributed deployments.. Managed deployments across enterprise Kubernetes environments using Helm, implementing rolling deployments, rollback strategies, deployment validation, and environment-specific configuration management.. Automated infrastructure provisioning and deployment workflows using Terraform, Ansible, GitHub Actions, and Kubernetes, ensuring repeatable and version-controlled infrastructure management across enterprise environments.. Monitored distributed Java microservices using Prometheus, Grafana, and Splunk, tracking JVM health, API latency, memory utilization, Kafka consumer lag, and infrastructure performance.. Configured proactive monitoring and alerting using Prometheus Alertmanager and Grafana dashboards, enabling faster detection and resolution of issues across Kubernetes workloads and distributed microservices.. Performed deep troubleshooting across Linux servers, Kubernetes clusters, Java applications, and Spring Boot microservices, resolving memory leaks, thread contention issues, API failures, and infrastructure bottlenecks.. Participated in 24/7 on-call support and handled high-severity (P1/P2) incidents across Java microservices, Kubernetes, Kafka, Prometheus, and enterprise banking systems, restoring critical services within SLA timelines.. Worked extensively with ServiceNow following ITIL-based Incident, Problem, and Change Management processes, coordinating production releases, emergency fixes, and deployment approvals across enterprise environments.. Created technical documentation, deployment runbooks, RCA reports, and operational SOPs for Java microservices, Kubernetes deployments, Terraform workflows, and monitoring platforms, improving operational readiness and team collaboration.
Site Reliability Engineer
Led 24/7 production support for mission-critical financial transaction applications, ensuring 99.9%+ availability across Linux-based on-prem infrastructure.. Responded to high-severity (P1/P2) incidents within SLA timelines, restoring services through structured troubleshooting, incident bridge coordination, and root cause analysis.. Reduced recurring production issues by 35% through detailed RCA documentation, proactive monitoring, and implementation of permanent corrective actions.. Improved MTTR by implementing standardized incident response playbooks, proactive alerting mechanisms, and operational support procedures.. Implemented centralized logging and monitoring using Splunk, Grafana, and application monitoring tools to proactively detect anomalies in high-volume transaction systems.. Configured JVM monitoring, health checks, API metrics, and Kafka lag monitoring to improve visibility into distributed microservices performance.. Supported deployments for containerized applications running on internal Kubernetes platforms, validating release stability and deployment readiness during production rollouts.. Assisted DevOps teams in maintaining CI/CD deployment activities using Jenkins, supporting automated build validation and release coordination processes.. Performed deep log analysis and request/response tracing via secure Unix/Linux server access using PuTTY, enabling faster production issue resolution.. Developed Unix shell scripts to automate log analysis, deployment verification, health checks, and operational support activities.. Implemented automated performance metric collection and alert notifications, reducing manual monitoring effort for production support teams.. Managed Cron jobs, error reporting workflows, and proactive monitoring mechanisms to maintain operational stability across distributed applications.. Worked extensively within ServiceNow to manage Incident, Problem, and Change requests aligned with ITIL best practices.. Participated in code reviews and assisted in refactoring legacy modules to improve application reliability, maintainability, and operational stability.. Documented production procedures, RCA reports, deployment steps, and operational runbooks to improve team readiness and audit compliance.