Shravan Molugu
Charlotte,NC
Summary
Results-driven Cloud and DevOps Engineer with five years of experience managing and optimizing cloud environments for government clients. Specializing in cloud security, automation, cost optimization, and cross-platform integration to enhance performance and compliance. Proven ability to design and deploy scalable solutions, streamline CI/CD pipelines, and drive operational efficiency. A goal-oriented, quick learner with strong time management skills, passionate about leveraging technology to deliver innovation, and create a meaningful global impact.
Overview
5
5
years of professional experience
Work History
Cloud Engineer
Office of Management and Enterprise Services
Oklahoma City, OK
01.2022 - Current
- Designed and deployed Compute Engine, App Engine, Cloud Functions, Cloud SQL, BigQuery, and Kubernetes (GKE) to support highly available applications.
- Implemented auto-scaling policies that reduced infrastructure costs by 30% while maintaining 99.99% uptime.
- Designed VPC peering and private endpoints to improve security and reduce latency between on-premises and cloud resources.
- Assisted in setting up hybrid connectivity using VPN and Interconnect, improving data transfer efficiency for enterprise clients.
- Configured IAM roles and policies across GCP, AWS, and Azure, enforcing role-based access control (RBAC), and security best practices.
- Reduced unauthorized access incidents by 40% by implementing least privilege policies, and automating access reviews.
- Automated AWS account creation using AWS Control Tower’s Account Factory reduces manual provisioning time from days to minutes.
- Integrated Azure AD with GCP IAM, enabling seamless user authentication and SSO across cloud platforms.
- Built custom billing dashboards in GCP to monitor project costs, reducing unexpected cloud spend by 25%.
- Implemented budgets and alerts for different projects, preventing overspending by setting proactive cost limits.
- For an agency, identified underutilized API quotas, optimizing API calls, and reducing cloud spend by 20% without impacting performance.
- Developed Terraform modules for provisioning GCP infrastructure, ensuring consistency across development and production environments.
- Automated deployments with Cloud Build and GitHub Actions, reducing deployment failures by 30%.
- Configured GCP Security Command Center to forward logs to Splunk via Cloud Pub/Sub, improving security monitoring.
- Assisted in setting up organizational logging sinks, enabling centralized log analysis across multiple projects.
- Worked on cross-organization cloud migrations, using Cloud Shell and gcloud CLI to seamlessly transfer projects and folders.
- Successfully migrated 50+ workloads with zero downtime.
DevOps Engineer
RLabs Infotech
Dallas, TX
02.2020 - 12.2021
- Built and maintained CI/CD pipelines using Jenkins and GitHub Actions, deploying microservices to AWS EKS—helped developers ship faster with fewer manual steps, and reduced rollout errors by 30%.
- Orchestrated ephemeral preview environments on EKS using Terraform and Helm for every PR—empowered developers to test in production-like conditions without affecting shared infrastructure.
- Implemented GitOps with ArgoCD for syncing Kubernetes clusters to cut down config drift, and gave the team full visibility into infra changes from pull request to deploy.
- Wrote AWS CDK constructs for reusable VPCs, S3 buckets, and IAM roles—abstracted away complexity for dev teams, and boosted infra onboarding speed by ~50%.
- Developed self-healing runbooks integrated with Lambda and EventBridge—automated common fixes like pod restarts or disk pressure cleanup, reducing on-call pages by 40%.
- Created cost dashboards using CloudWatch and QuickSight, helping stakeholders see spending per service/team, which enabled action on idle resources and saved approximately $20K per year.
- Automated security patching pipelines using SSM and custom tagging logic kept EC2 fleets compliant and reduced patch lead time from weeks to hours.
- Embedded OPA policies into CI pipelines, enforcing tagging, encryption, and network boundaries at deploy time, and shifted security left without blocking velocity.
- Wrote detailed onboarding docs and demoed infra flows across the organization, which helped reduce ramp-up time and made the DevOps function approachable across teams.
- Implemented systems automation using scripting languages like Python and Bash.
Graduate Teaching Assistant
University Of North Texas
Denton, TX
01.2021 - 12.2021
- Guided undergraduate students in understanding fundamental concepts of digital circuit design, including logic gates, combinational circuits, and sequential circuits.
- Facilitated lab sessions, guided students through hands-on experiments.
- Evaluated assignments and lab reports, providing timely and constructive feedback to enhance student learning.
Education
Master of Science - Electrical Engineering
University of North Texas
Technical Skills
Cloud Platforms & Services:
Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure, GKE (Google Kubernetes Engine), AWS EKS (Elastic Kubernetes Service), App Engine, Cloud SQL, Cloud Functions, BigQuery, AWS Lambda, AWS Control Tower (Account Factory), Cloud Interconnect, VPN Tunnels, Cloud IAM, Azure Active Directory (SSO Integration), Multi-Cloud Identity Federation
Infrastructure as Code & GitOps:
Terraform (modularized IaC), AWS CDK (TypeScript-based infra modeling), Helm (Kubernetes templating), ArgoCD (GitOps controller), GitHub Environments, Cloud Shell Automation, gcloud CLI, Idempotent Infra Design, Declarative Infra Workflows
CI/CD & Delivery Automation:
Jenkins (pipeline DSL), GitHub Actions (multi-environment deploys), Google Cloud Build, Progressive Delivery (Canary, Blue-Green), Ephemeral PR Environments, Auto-Rollback Pipelines, Context-Aware Deployment Gates, Event-driven CI/CD via EventBridge
Security & Compliance Automation:
Role-Based Access Control (RBAC), Least Privilege IAM Modeling, Open Policy Agent (OPA) in CI pipelines, Pre-deploy Secret Scanning, Audit-Grade Change Tracking (Git + Terraform), Patch Automation with AWS SSM, SOC2 Readiness (IaC Compliance Scaffolding)
Monitoring, Cost Optimization & Observability:
Prometheus (predictive alert tuning), Grafana Dashboards (SLA visualization), CloudWatch Insights, GCP Budget & Quota Monitoring, Pub/Sub to Splunk Integration, Cloud Logging Sinks, Service-Level Objective (SLO) Metrics, QuickSight Cost Allocation Dashboards
Scripting & Automation Languages:
Python (infra scripting, data cleanup jobs), Bash (deployment automation), YAML (K8s manifests, CI configs), JSON, Git (PR-based infra flow), Makefiles (infra tooling)
Collaboration:
ServiceNow, JIRA, Confluence
Timeline
Cloud Engineer
Office of Management and Enterprise Services
01.2022 - Current
Graduate Teaching Assistant
University Of North Texas
01.2021 - 12.2021
DevOps Engineer
RLabs Infotech
02.2020 - 12.2021
Master of Science - Electrical Engineering
University of North Texas
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