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Cloud DevOps Engineer - AWS, Kubernetes, CI/CD Expertise

Location:
St. Cloud, MN
Posted:
February 12, 2026

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Resume:

ANIL REDDY THODIMA

Cloud DevOps Engineer

+1-320-***-**** • ****.*********@*****.*** • https://www.linkedin.com/in/anil-reddy-thodima-02b6a5220/ • Minneapolis, MN Profile Summary

• Cloud DevOps Engineer with around 5 years of hands-on experience maintaining AWS, Kubernetes, and CI/CD pipelines to ensure high reliability and "drama-free" software delivery.

• Experienced in taking full ownership of foundational infrastructure, including AWS multi-account setups (IAM, VPC peering), shared EKS clusters, and managed data stores like RDS and ElastiCache, focusing on making on-call rotations predictable and stable.

• Expertise in streamlining the delivery lifecycle by integrating GitHub Actions, Argo CD, Jenkins, Helm, and Docker; utilizing Terraform, Terragrunt, and TFLint to ensure infrastructure changes are peer-reviewed, tested, and low- risk.

• Proven track record of troubleshooting complex, "noisy" system behaviors—from Kubernetes readiness probes and flaky integration tests to WAF rules and overlapping CIDR ranges.

• Collaborative mentor who works closely with developers and junior engineers to analyze logs, Prometheus metrics, and CloudWatch alarms, ensuring systems remain stable, secure, and understandable. Technical Skills

• Cloud Platforms: AWS (Expert: EC2, VPC, IAM, EKS, S3, RDS, ELB/ALB, ASG, CloudWatch, Lambda, WAF), GCP (Working Knowledge), Azure (Working Knowledge)

• Infrastructure as Code (IaC): Terraform, Terragrunt, TFLint, Ansible, CloudFormation

• Containers & Orchestration: Kubernetes (EKS), Docker, Helm, Argo CD

• CI/CD & Dev Tools: GitHub Actions, Jenkins, Git, Postman, JIRA, VS Code

• Observability & Security: Prometheus, Grafana, CloudWatch, AWS WAF, IAM Policy Hardening

• Programming & Scripting: Python, Bash, Java (Working Knowledge), SQL, JavaScript/TypeScript

• Datastores: Amazon RDS (PostgreSQL, MySQL), MongoDB, Redis (Amazon ElastiCache)

• Messaging & Data: Kafka, RabbitMQ, Snowflake, dbt, Airflow Work Experience

Cisco Systems San Jose, CA

Cloud DevOps Engineer

Feb 2024 – Present

• Designed a multi-account AWS layout using IAM, VPC peering, and shared EKS clusters so teams could deploy independently without everyone editing the same security groups.

• Managed core AWS infrastructure for high-traffic internal services, maintaining 99.9% availability and reducing on-call incident frequency by 40% through proactive resource tuning.

• Set up a reasonably straightforward GitHub Actions and Argo CD pipeline for our microservices, wiring builds, container scans, and promotion into EKS without manual kubectl steps.

• Spent a fair amount of time cleaning up flaky deployment jobs, mostly timeouts and race conditions in our Helm charts and Kubernetes readiness probes.

• Introduced basic infrastructure testing using Terraform, terragrunt, and tflint, which caught a bunch of misconfigured S3 buckets and overly broad IAM roles before they went live.

• Worked with application teams to move stateful pieces from random pods into managed RDS and ElastiCache, so restarts and node drains stopped causing odd data issues.

• Helped junior engineers debug their first production rollouts on EKS, walking through logs, CloudWatch alarms, and rollout strategies instead of just reverting changes immediately.

• Sat in weekly reviews with security and networking to untangle things like overlapping CIDR ranges, public ALB exposure, and WAF rules that kept blocking our own health checks. Persistent Systems Hyderabad, INDIA

DevOps Engineer May 2021 – Dec 2022

• Managed the CI pipeline for a couple of core services, kept builds green, deployments boring, and rollbacks quick when something slipped through.

• Automated end to end deployment for a legacy Java stack using Jenkins, Ansible, and Docker, replacing a half-manual script chain that frequently broke on minor config changes.

• Set up environment specific configs and secrets management so the same container images could move across dev, QA, and prod without custom builds every time.

• Spent a lot of time on flaky integration tests - added test isolation, tuned Jenkins executors, and reduced random failures that were blocking releases late at night.

• Worked with backend teams to add health checks, better logging, and basic Prometheus metrics, which made on-call incidents faster to debug on our Kubernetes clusters.

• Standardized infra definitions with Terraform on our main projects, so spinning up a new environment meant a single reviewable plan instead of a week of manual tweaks. Mphasis Hyderabad, India

Associate Cloud Engineer Aug 2019 – May 2021

• Wrote small backend helpers in Java that called internal REST services and logged payloads so the senior engineers could trace failures more easily.

• Helped maintain basic AWS infrastructure for a client - updated CloudFormation templates, checked failed stack events, and fixed simple misconfigurations around IAM roles and security groups.

• Built a few utility scripts in Python that pulled logs from CloudWatch, filtered on error patterns, and saved simplified summaries for the on-call channel.

• Worked with senior engineers to plug a new microservice into our API Gateway setup, wiring routes, testing with Postman, and debugging 4xx responses in pre-production.

• Sat in daily standups with the cloud team, picked up smaller tickets like tweaking Auto Scaling policies, tagging EC2 instances, and cleaning stale resources in non-prod accounts. Certificates

AWS Certified Solutions Architect – Associate Nov 2025 - Nov 2028 Amazon Web Services (AWS), Issued: 11/2025, Expires: 11/2028, Credential ID: 70f555b3fd664eaf8a4d124ccf789908 TestOut Linux Pro Certification May 2023

TestOut, Issued: 05/2023, Credential ID: 6-U6-5JWQ Education

St. Cloud State University MN -USA

Master of Science in Information Assurance Jan 2023 – May 2025(Graduated) Guru Nanak Institute of Technology India

Bachelor of Technology in Computer Science Dec 2022



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