Somerset, New Jersey, United States
Site Reliability and DevOps Engineer with 4+ years of experience building scalable, reliable, and cloud-native systems. I specialize in automating AWS infrastructure, optimizing CI/CD pipelines, and improving system observability for distributed microservices. My work focuses on reducing operational toil, improving deployment velocity, and maintaining highly available systems with strict SLOs. Key expertise: • Infrastructure as Code (Terraform, Ansible) • CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions) • Kubernetes & Docker-based microservices • Monitoring & Observability (Prometheus, Grafana, ELK Stack) • Cloud Platforms: AWS (EKS, EC2, S3) Currently working on large-scale production systems for Verizon (client), focusing on reliability, scalability, and automation. Open to opportunities in DevOps, Site Reliability Engineering, and Cloud Engineering.
Working with Verizon (client) to build and operate scalable, cloud-native infrastructure and production-grade microservices systems. • Automated AWS infrastructure provisioning using Terraform and Ansible for EC2 and EKS, reducing manual effort by 90% • Designed and implemented CI/CD pipelines using GitLab CI, Jenkins, and Artifactory to deploy Dockerized microservices to Amazon EKS, saving 15+ hours/week • Reduced operational toil by 40% by automating L1/L2 production issue handling using Python and Shell scripting • Implemented centralized logging and alerting using ELK Stack with Slack integration, eliminating 80% of manual monitoring • Improved system reliability using Prometheus monitoring and Kubernetes HPA, maintaining p95 latency under 200 ms • Built Kafka pipelines processing 2M+ events/day with minimal data loss (~0.1%) • Developed Airflow ETL workflows improving reporting performance by 40%
• Developed Python automation scripts reducing manual data processing effort by 20% • Built real-time web portal using React and Firebase supporting 150+ users • Automated AWS backups improving system reliability and reducing incidents • Created onboarding documentation reducing ramp-up time by 30%
• Migrated legacy scripts to reusable Ansible roles, improving automation efficiency and maintainability • Managed CI/CD pipelines using Jenkins, SonarQube, and Nexus, ensuring code quality and reliable deployments • Performed root cause analysis using AWS CloudWatch logs, reducing mean time to resolution (MTTR) • Implemented blue-green deployment strategy using Docker and NGINX, enabling zero-downtime releases • Integrated security scanning tools (AWS Inspector, Prisma Cloud) into CI pipelines • Built Grafana dashboards and alerts for proactive monitoring of system health