LAKSHMAN RAO Y V
Professional Summary
DevOps & Site Reliability Engineer with 5+ years of experience designing, automating, and scaling cloud infrastructure and CI/CD pipelines. Experienced with AWS, Kubernetes, Terraform, Ansible and observability stacks to improve availability, shorten MTTR and enable repeatable zero-downtime releases across microservices-based platforms.
Technical Skills
Work Experience
- Designed and operated end-to-end CI/CD pipelines using Jenkins, GitLab CI and GitHub Actions to enable consistent builds and automated deployments across environments.
- Managed containerized workloads with Kubernetes and Docker; implemented Helm charts and pod auto-scaling to improve availability and deployment predictability.
- Authored and maintained Terraform, Ansible and CloudFormation IaC modules to provision repeatable environments and eliminate configuration drift.
- Configured AWS infrastructure (EC2, VPC, IAM, S3, RDS, ALB, ASG) with least-privilege IAM policies and RBAC to strengthen environment security and compliance.
- Implemented observability using Prometheus, Grafana, New Relic and CloudWatch to surface SLIs and enable alerting, significantly reducing mean time to resolution for production incidents.
- Established SRE practices by defining SLIs/SLOs, integrating them into runbooks, and leading L2/L3 incident responses and RCA to remove systemic failure modes.
- Introduced Site Reliability Engineering practices and defined SLIs/SLOs in the SRE portal to align operational expectations with engineering delivery.
- Deployed and managed ELK Stack on AWS for centralized log ingestion and search, enabling faster cross-service troubleshooting for production issues.
- Integrated security scanning (Trivy, SonarQube, Snyk, Checkov) into CI/CD pipelines to detect vulnerabilities early and halt risky releases.
- Built New Relic and Grafana dashboards with MySQL-backed metrics to monitor infrastructure health and surface performance regressions to teams.
- Developed Python and Bash automation to parse cloud API JSON payloads for automated server health checks and threshold-based alerting.
- Collaborated with engineering teams to remediate pipeline failures and implement automated rollback/canary strategies to reduce release risk.
- Onboarded microservice applications to Kubernetes, created deployment manifests and provided operational runbooks to enforce deployment consistency.
- Automated AWS resource provisioning (EC2, ALB, ASG, S3, VPC, RDS, Redis) using Python scripts and AWS APIs to reduce manual provisioning time.
- Executed chaos engineering and resiliency tests to identify failure modes and strengthen disaster recovery and failover procedures.
- Authored Ansible playbooks for environment provisioning, configuration management and disaster recovery automation to standardize client operations.
- Developed Python tooling to dynamically generate Kubernetes pod manifests from team rosters, reducing deployment errors and manual edits.
- Embedded static and software composition analysis (SonarQube, Black Duck, Fortify) into release pipelines to maintain code compliance.
- Onboarded and supported CI/CD pipelines for 100+ application teams, standardizing release workflows across frontend and backend services.
- Automated Jenkins pipeline stages using Groovy and shell scripting to handle Git branching, semantic versioning and automated PR approvals.
- Provisioned vendor portal infrastructure via CloudFormation and Ansible, reducing manual configuration effort and deployment errors.
- Created Linux log backup scripts and automated monitoring routines to preserve release traceability and server integrity across environments.
- Centralized logging and diagnostics with Splunk to accelerate root-cause analysis and shorten incident investigation cycles.
- Collaborated with dev teams to document runbooks and implement release gates, reducing production rollbacks and release drift.
Education
Achievements
- Internal Innovation & Excellence Award: Recognized for developing an end-to-end Node.js automation chatbot that streamlined team operations and automated multi-project workflows.
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