Chaitanya Veeranna

Results-driven DevOps Engineer with 6+ years of total experience, including 4+ years specializing in DevOps practices across enterprise environments. Proven expertise in designing and managing CI/CD pipelines (Jenkins, GitHub Actions), container orchestration (Docker, Kubernetes), cloud infrastructure (AWS), and Infrastructure as Code (Terraform, Ansible). Hands-on experience with monitoring stacks (Prometheus, Grafana), scripting (Python, Bash), and Git-based workflows.

Track record of reducing deployment time, improving system reliability, and automating manual processes at scale.

Software Engineer – DevOps at Deloitte (2025-04 – Present)

• Designed and implemented end-to-end CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment cycle time by ~30% and improving release predictability.
• Managed containerized microservices using Docker and Kubernetes (deployments, services, ingress, HPA), improving scalability and environment consistency across dev, staging, and production.
• Implemented Infrastructure as Code (IaC) using Terraform and Ansible for provisioning AWS resources (EC2, VPC, RDS, S3, IAM), cutting manual provisioning effort by ~40%.
• Reduced Docker image sizes by 50%+ using multi-stage builds, improving container startup time and reducing ECR storage costs.
• Built monitoring and alerting stack using Prometheus and Grafana, reducing incident detection time by ~25% with customized dashboards and threshold-based alerts.
• Integrated automated unit, integration, and regression testing into CI pipelines, improving code quality and reducing production defects.
• Automated secrets management and environment config using AWS Secrets Manager and environment-specific Helm values.
• Collaborated cross-functionally with development, QA, and operations to streamline release processes and enforce GitFlow branching strategies.

DevOps Engineer at Carelon (Elevance Health) (2023-05 – 2025-04)

• Built and maintained Jenkins-based CI/CD pipelines for automated build, test, and deployment, reducing manual deployment effort by ~20–25%.
• Containerized applications using Docker; authored Dockerfiles and managed images via container registries, improving deployment consistency.
• Implemented Kubernetes Deployment manifests with rolling updates, readiness/liveness health checks, and replica management for zero-downtime deployments.
• Monitored application performance using Prometheus and Grafana, enabling proactive detection of resource bottlenecks.
• Wrote Python and Bash scripts to automate routine operational tasks, reducing toil and human error.
• Provisioned and managed AWS infrastructure (EC2, S3, IAM, VPC, CloudWatch) to support application environments.
• Supported onboarding and knowledge transfer for new team members, reducing ramp-up time through documentation and structured training.

Software Engineer – DevOps & Mainframe (Legacy Modernization) at CGI (2019-12 – 2023-05)

• Spearheaded DevOps transformation by introducing GitHub Actions CI/CD pipelines for mainframe (COBOL/JCL) applications, enabling automated build, test, and deploy workflows.
• Led migration from legacy Endevor SCM to Git-based version control, improving code traceability, branching, and collaborative development for a 20+ person team.
• Contributed to mainframe modernization initiatives by integrating legacy systems with modern DevOps toolchains and cloud-compatible workflows.
• Automated deployment and release activities, reducing manual intervention and standardizing release management processes.
• Monitored production batch jobs; resolved critical incidents to maintain high availability and SLA compliance.

B.Tech – Dayananda Sagar University (2019)