DevOps Engineer - Cloud & IaC Specialist

Subha M

Dallas, Tx +1-940-***-**** ****************@*****.*** USA LinkedIn

PROFESSIONAL SUMMARY

• 3+ years of experience in IT industry, specializing in DevOps, Cloud Infrastructure, and Software Configuration Management (SCM). Proven expertise in CI/CD automation, Infrastructure as Code (IaC), and container orchestration with Kubernetes and Docker.

• Strong proficiency in cloud platforms including AWS, Google Cloud Platform (GCP), and Azure. Hands-on experience with Terraform, Ansible and Jenkins for infrastructure automation, scaling, and management.

• Skilled in Python, Bash, and PowerShell for automation scripting and infrastructure management. Proficiency in Linux/Unix and system administration tasks.

• Proficient in using monitoring and logging tools such as Prometheus, Grafana, and ELK Stack to ensure performance and availability.

• Experience with Helm Charts for custom software deployments and managing Kubernetes Environments using tools like k3d and kind.

• Proven expertise in CI/CD automation, Infrastructure as Code (IaC), and container orchestration with Kubernetes, Docker, and Helm for custom deployments and management.

• Designed and managed Kubernetes multi-cluster environments with high availability, autoscaling, and service mesh integration for optimized performance and security.

• Implemented disaster recovery (DR) solutions for containerized applications in Kubernetes, ensuring failover strategies, automated backups, and minimal downtime during incidents. WORK EXPERIENCE

AWS DevOps/Cloud Engineer May 2024 – Present

Trimble, Dallas, TX, USA

• Managed AWS, Azure, and on-prem cloud infrastructure using Terraform, Ansible, Puppet, and Chef, ensuring consistent and scalable deployments across hybrid environments.

• Automated CI/CD pipelines with Jenkins, GitLab CI/CD, and Azure DevOps, improving reliability and reducing deployment times by 50%; integrated Coverity, Python, and Bash for automation.

• Orchestrated containerized applications with Kubernetes, Docker, and Helm Charts; deployed microservices across EKS, AKS, and GKE ensuring high availability and scalability.

• Created and maintained custom Helm Charts for configuration management and streamlined deployment workflows across Docker Swarm and Kubernetes clusters.

• Implemented Kubernetes autoscaling (HPA), persistent storage (PV/PVC), and optimized networking using CNI plugins, ingress controllers, and network policies for performance and security.

• Developed and tested disaster recovery (DR) strategies with Velero, including cross-region failover, DR runbooks, and automated backup and restoration for critical workloads.

• Monitored application and infrastructure health using Prometheus, Grafana, ELK Stack, and Dynatrace, enabling real-time alerting and proactive system tuning.

• Applied enterprise-grade security best practices using IAM, RBAC, encryption, firewall management, and VPN, ensuring compliance with industry standards.

• Used Python (with libraries like Flask, NumPy) and SQL to support custom monitoring scripts and operational tooling; collaborated using JIRA, Confluence, and Agile (Scrum) practices.

• Contributed to operational efficiency by leveraging Streamlit, Power BI, and Tableau for internal dashboards and visualizing Kubernetes performance and DR metrics. Collaborated with cross-functional teams to integrate AI-driven analysis into operational workflows, enhancing predictive monitoring and system reliability across Kubernetes environments.

• Utilized Unix/Linux systems for day-to-day DevOps tasks, performed advanced scripting in Go, PowerShell, and Bash to automate cluster maintenance, deployments, and system troubleshooting. AWS / Cloud Engineer June 2022 – July 2023

Wells Fargo, India

• Automated infrastructure deployment using Terraform and Ansible across AWS and Azure cloud environments, integrating data models and Python scripting for infrastructure management.

• Deployed and managed containerized applications with Kubernetes and Docker, including Helm for orchestration and consistency in OpenShift and AKS clusters.

• Integrated CI/CD pipelines using GitLab CI/CD and CircleCI to streamline build, test, and deployment processes; utilized Bitbucket and Git for version control.

• Managed enterprise cloud infrastructure focusing on scalability, security (IAM, RBAC), and high availability, utilizing encryption protocols and firewall management.

• Monitored system health using ELK Stack, Prometheus, and Grafana for efficient alerting and performance metrics.

• Created IaC templates with Terraform and Ansible, integrating with PowerShell and Bash scripts for automation.

• Implemented Helm for container orchestration and used Kubernetes native tools to maintain workload efficiency.

• Developed backup and disaster recovery strategies for AWS and Azure-based apps, applying best practices from Agile methodologies.

DevOps Engineer May 2021 – May 2022

AT&T, India

• Performed system backups and recovery operations using Unix environments and managed data integrity with PostgreSQL, MongoDB, MySQL, and Oracle databases.

• Monitored and optimized CI/CD pipelines using Jenkins and Azure DevOps, ensuring reliability with Python

(NumPy, scikit-learn) and Bash automation.

• Documented infrastructure using Confluence and collaborated using JIRA under Agile (Kanban) workflows for deployment processes.

• Supported application migration to cloud AWS environments while preserving minimal disruption and maintaining strong network security like TCP/IP, DNS, VPN.

• Implemented container security best practices with Kubernetes and Docker, applying image scanning, RBAC, and network policies.

• Managed database performance and high availability across Snowflake and traditional RDBMS environments.

• Enhanced software quality through static and dynamic analysis using AI-driven scripts and integrated testing frameworks.

• Orchestrated containerized environments using Kubernetes, Docker, and Helm, applying Git-based DevOps practices and promoting CI Integration.

SKILLS

Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP) CI/CD Pipelines: Jenkins, GitLab CI/CD, CircleCI, Azure DevOps Infrastructure as Code (IaC): Terraform, Ansible, Puppet, Chef Containerization: Kubernetes, Docker, Helm, OpenShift, GKE, AKS, Docker Swarm. Version Control Systems: Git, GitHub, GitLab, Bitbucket Databases: PostgreSQL, MongoDB, MySQL, DynamoDB, Oracle, Snowflake Programming & Scripting: Python (Pandas, NumPy, Flask, Pytorch, scikit-learn), SQL, Bash, PowerShell, Go Monitoring & Logging: Prometheus, Nagios, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, Dynatrace Networking & Security: TCP/IP, DNS, VPN, Firewall Management, IAM, RBAC, Encryption Methodologies: Agile (Scrum, Kanban), DevOps

Cloud-Native Tools: Kubernetes, Helm, Docker

Data Visualization: Streamlit, Tableau, MS Power BI Additional Skills: Unix, JIRA, Microsoft Excel, Information Technology, Data Models, AI, Data Analysis, Confluence EDUCATION

Master’s in Information Technology and Management, University of Texas at Dallas May 2025

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