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Cloud DevOps Engineer with Cloud-Native Expertise

Location:
Hutto, TX, 78634
Salary:
70000
Posted:
December 12, 2025

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Resume:

Sandeep Chitturi Cloud Devops Engineer

*******.********@***********.*** 316-***-**** USA LinkedIn Summary

Cloud DevOps Engineer with 3+ years of expertise in automating infrastructure, managing CI/CD pipelines, and optimizing cloud environments. Skilled in containerization, orchestration, and infrastructure as code (IaC) to enhance system scalability and performance. Proficient in cloud platforms, automation tools, and monitoring solutions to improve deployment efficiency and system reliability. Adept at implementing security best practices, reducing downtime, and ensuring high availability. Strong collaborator with cross-functional teams to streamline development workflows and drive operational excellence in cloud-native and hybrid environments. Technical Skills

Cloud Platforms: AWS (EKS, Lambda, CloudFormation, CloudWatch, OpenSearch), Azure (AKS, Azure DevOps, Azure Monitor)

Containerization & Orchestration: Kubernetes, Docker, Helm, Persistent Volumes (PVs, PVCs)

Infrastructure as Code (IaC): Terraform, AWS CloudFormation, Ansible

CI/CD & Automation: Jenkins, ArgoCD, Azure DevOps, Git, Nagios

Monitoring & Logging: AWS CloudWatch, OpenSearch, Prometheus, Grafana, Nagios, Azure Monitor

Scripting & Configuration Management: Ansible, Bash, YAML,Python

Web & Server Technologies: Apache, MySQL, LAMP Stack, Docker Compose Professional Experience

DevOps Engineer, Edward Jones 02/2024 – Present Remote, USA

• Architected, deployed, and maintained a Kubernetes-based Platform-as-a-Service (PaaS) on Amazon Web Services (AWS) Elastic Kubernetes Service (EKS), using Terraform and AWS CloudFormation for infrastructure provisioning and environment consistency, reducing setup time by 50% and enhancing environment reliability.

• Engineered and optimized CI/CD pipelines using Jenkins, ArgoCD, and Git, enabling seamless automated deployments of Docker containers to Kubernetes clusters. Integrated Helm charts for versioned deployments, decreasing release errors by 40% and improving developer productivity.

• Implemented Infrastructure as Code (IaC) across all environments using AWS CloudFormation, reducing human error, improving repeatability, and cutting infrastructure costs by 30% through automated resource management.

• Designed proactive monitoring and alerting systems using Amazon CloudWatch, AWS OpenSearch, and Prometheus/Grafana, leading to 60% faster incident resolution, improved observability, and real-time telemetry across distributed systems.

• Applied DevSecOps principles by enforcing Role-Based Access Control (RBAC), network policies, and secrets management via Kubernetes and AWS Secrets Manager, enhancing application security posture and ensuring enterprise compliance.

• Worked cross-functionally with software engineering, QA, and security teams to implement cloud-native microservices architectures, containerization best practices, and high-availability patterns for mission-critical applications. DevOps Engineer, Zensar Technologies 01/2021 – 12/2022 India

• Deployed and managed high-availability Kubernetes clusters on Azure Kubernetes Service (AKS) using Terraform and Azure DevOps pipelines, improving uptime to 99.99% and reducing infrastructure operational costs by 15%

• Deployed Kubernetes clusters on Azure AKS using Terraform and Azure DevOps, achieving 99.99% uptime and reducing costs by 15%.

• Containerized microservices with Docker and orchestrated via AKS and Docker Compose, cutting manual deployment effort by 30%.

• Developed Jenkins CI/CD pipelines integrated with Git for build, test, and deployment automation, cutting cycle time by 70% and errors by 90%.

• Configured PVs and PVCs in Kubernetes for MySQL, ensuring 100% data retention and zero downtime during restarts.

• Optimized Apache in Docker and used Docker Compose for multi-tier orchestration, improving scalability and cutting response time by 40%.

• Set up full-stack monitoring with Nagios, achieving 98% SLA compliance and reducing MTTD by 25%.

• Automated provisioning and configuration of 100+ Linux servers using Ansible, reducing setup time by 60% and eliminating configuration drift.

Education

Master of Engineering, Wichita State University 01/2023 – 05/2024 Wichita, USA Computer Science

Bachelor of Engineering, Jawaharlal Nehru Technological University Kakinada 07/2017 – 07/2021 India Computer Science and Engineering

Certificates

AWS Certified Solutions Architect



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