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Lead DevOps (Cloud Operations) with 5+ years in cloud infrastructure & CI/CD
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Lead DevOps Engineer with 4+ years of experience in end-to-end cloud infrastructure, CI/CD, and multi-cloud (AWS & GCP) migrations. Proven track record in building DevSecOps frameworks, AIOps observability platforms, and Kubernetes-based containerized deployments. Reduced release cycles from 2 weeks to 3 days and MTTR by 45% across 30+ production services. Experienced in multi-cloud migration strategies across AWS (EKS, EC2, RDS, VPC) and GCP (GKE, Cloud Run), with hands-on infrastructure automation using Terraform, Ansible, and Harness IaC. Google Professional Cloud Architect certified.
SRM University
B.Tech · Computer Science Engineering
August 1, 2020 – June 30, 2020
Sri Gayatri Junior College
Class XII · CBSE
June 1, 2016 – May 31, 2016
Softility, Inc
Lead DevOps Engineer
January 1, 2024 – Present
Hyderābād, Telangana, India
Softility, Inc
Senior DevOps Engineer
January 1, 2023 – December 1, 2023
Hyderābād, Telangana, India
Softility, Inc
Junior DevOps Engineer
April 1, 2021 – December 1, 2022
Hyderābād, Telangana, India
AIOps Intelligent Observability Platform
June 1, 2026 – Present
Built Python-based anomaly detection engine integrated with Prometheus to identify degraded services before alerts fired. Developed Grafana dashboards with predictive SLA breach warnings, reducing P1 incidents by 40% over 6 months across 30+ microservices. Automated intelligent alert routing — classifying severity, suppressing noise, triggering runbooks — cutting on-call response time by 45%.
Multi-Cloud Migration & Cloud-Native Deployment (AWS + GCP)
June 1, 2026 – Present
Led migration of legacy on-premise workloads to AWS (EKS, RDS, VPC) and GCP (GKE, Cloud Run) using Terraform IaC and Ansible automation. Containerized Python Flask microservices using Docker multi-stage builds, reducing image size by 60% and eliminating environment drift. Deployed on GKE with horizontal pod autoscaling and GCP Load Balancer, sustaining 3x traffic spikes with sub-200ms p99 response times. Implemented rolling update strategy with readiness/liveness probes achieving zero-downtime deployments every release cycle.
Enterprise DevSecOps Pipeline Hardening
June 1, 2026 – Present
Designed shift-left pipelines integrating Fortify SAST, Blackduck SCA, and SonarQube as mandatory pre-deploy gates, blocking 100% of critical CVEs from reaching production. Automated OWASP dependency checks and license compliance scanning across 20+ microservices achieving audit-ready security posture.
Harness GitOps Multi-Environment Delivery Framework
June 1, 2026 – Present
Architected Harness GitOps pipeline for 4 environments with automated approval gates, rollback triggers, and self-service deployments for 3 teams. Integrated Harness CD with Terraform for infrastructure provisioning, enabling fully automated environment spin-up in under 10 minutes.
Google Professional Cloud Architect
Google Cloud
June 1, 2026 – Present
Harness Certified Continuous Integration Developer
Harness
June 1, 2026 – Present
Harness Certified Infrastructure as Code Developer
Harness
June 1, 2026 – Present
Harness Certified CD & GitOps Developer
Harness
June 1, 2026 – Present
Introduction to DevOps
Great Learning
June 1, 2026 – Present
Python Problem Solving
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a Lead DevOps role, particularly in an environment that values innovation, automation, and continuous improvement. Their experience across AIOps, DevSecOps, and multi-cloud migrations shows a broad and adaptable skill set. The progression from Junior to Lead DevOps Engineer within the same company indicates loyalty and growth potential. The diversity of projects and technologies used suggests a proactive learning attitude and a willingness to tackle complex challenges, which aligns well with dynamic technical teams.
Soft Skills & Operational Fit
The candidate's resume highlights strong leadership and mentoring skills, evidenced by leading transformations and guiding junior engineers. Their focus on automation, efficiency, and proactive problem-solving (AIOps) indicates a strong operational fit. The ability to drive significant improvements in MTTR and release cycles suggests a results-oriented approach and strong problem-solving capabilities. The detailed project descriptions also imply good communication skills in articulating complex technical achievements.