Srinivasan Ravindran
Open to work5 years experienceDevOps Engineer
DevOps Engineer with 5+ years of experience in cloud infrastructure and CI/CD pipelines.
Standing Rank
Rank Not Available
Developer Badges
No badges earned yet
Skills & Technologies
26 skillsGitHub Activity Evidence
GitHub Footprint Not Connected
Recruiters value verified code contributions. Linking a GitHub account displays live heatmaps, active contribution metrics, repository languages, and push activity tags.
Work Experience
DevOps Engineer
Techwave
- Developed and maintained Infrastructure as Code using Terraform and AWS CloudFormation, ensuring scalable and repeatable deployments.
- Automated CI/CD pipelines (Jenkins, GitLab CI) to streamline build, test, and deployment processes.
- Implemented Docker-based containerization and Kubernetes orchestration, improving application portability and scalability.
- Managed and administered Red Hat OpenShift clusters, enabling secure, highly available, and scalable containerized application deployments.
- Managed configuration automation using Ansible and Puppet, ensuring consistency across environments.
- Built monitoring and logging solutions (ELK Stack, Prometheus, Grafana) for enhanced observability.
- Applied cost optimization strategies, reducing infrastructure spend while maintaining performance and availability.
- Integrated AI/ML and LLM deployment workflows into CI/CD pipelines, enabling automated model packaging, testing, and release processes.
- Leveraged AWS AI/ML services such as Amazon Bedrock and Amazon SageMaker to support model deployment, inference, and experimentation.
- Implemented monitoring and performance optimization for GenAI applications, tracking latency, resource utilization, and system reliability to ensure production readiness.
DevOps Engineer
Elevance Health
- Built secure and compliant infrastructure aligned with HIPAA standards.
- Designed and implemented end-to-end CI/CD pipelines, improving release efficiency by 50%.
- Automated infrastructure provisioning using Terraform and Ansible, reducing configuration errors.
- Led Docker containerization and Kubernetes/OpenShift orchestration, improving system availability and fault tolerance.
- Integrated automated security checks into CI/CD pipelines, strengthening security posture.
- Implemented monitoring solutions (Prometheus & Grafana) to ensure proactive system health tracking.
- Reduced deployment downtime significantly through automation and streamlined workflows.
DevOps Engineer
Hanover Insurance
- Developed and maintained Infrastructure as Code (IaC) using Terraform and CloudFormation.
- Automated CI/CD pipelines, improving deployment frequency and reliability.
- Implemented Docker and Kubernetes for application modernization and scalability.
- Managed configuration automation using Ansible and Puppet.
- Built monitoring and logging systems using ELK Stack, Prometheus, Grafana.
- Played a key role in cloud migration and legacy system modernization.
- Applied cost optimization strategies, reducing infrastructure spend without performance impact.
Projects
Bol.com (E-Commerce Platform)
- Designed and deployed highly scalable AWS infrastructures supporting millions of users with improved uptime and performance.
- Implemented Infrastructure as Code (IaC) using Terraform and automated configuration management with Ansible, reducing manual provisioning efforts by 70% and ensuring consistent infrastructure deployments.
- Built and optimized CI/CD pipelines using Jenkins & GitLab CI, reducing deployment time by 40%.
- Deployed containerized microservices using Docker, Kubernetes, and OpenShift, improving scalability, resilience, and operational efficiency for distributed and LLM-based applications.
- Managed and maintained Red Hat OpenShift clusters, ensuring highly available, secure, and scalable container orchestration for enterprise applications and GenAI inference services.
- Provisioned and managed cloud infrastructure to support Generative AI and Large Language Model (LLM) workloads, enabling scalable and reliable model serving environments.
- Integrated AI/ML and LLM deployment workflows into CI/CD pipelines, enabling automated model packaging, validation, and release processes.
- Implemented monitoring stack (Prometheus, Grafana, ELK) for real-time observability and faster incident response.
- Optimized cloud costs through resource right-sizing and reserved instances, reducing expenses by 25%.
- Leveraged Generative AI to enhance infrastructure automation, accelerate troubleshooting, improve incident analysis, and streamline operational workflows.
- Collaborated with cross-functional teams to align DevOps strategies with business goals.
- Mentored junior engineers and drove DevOps best practices across teams.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Release Efficiency Improvement
Improved release efficiency by 50% at Elevance Health.
Provisioning Efficiency
Reduced manual provisioning efforts by 70% through Terraform and Ansible.
Deployment Time Reduction
Reduced deployment time by 40% using Jenkins & GitLab CI.
Cost Optimization
Reduced infrastructure expenses by 25% through resource right-sizing and reserved instances.
About Details
Professional Bio
Results-driven DevOps Engineer with 5+ years of experience in designing, automating, and managing scalable cloud infrastructure and CI/CD pipelines. Expertise in AWS, Terraform, Kubernetes, Docker, and Jenkins with a strong focus on automation, reliability, and cost optimization.
B.Sc Computer Science
Annamalai University (2013 - 2015)