# Mahitha s

> Senior Cloud DevOps Engineer | Azure & AWS | Kubernetes, Terraform, CI/CD Automation | API Platforms & Observability |

Location: United States, United States
Profile: https://flows.cv/mahithas

I’m a passionate Cloud & DevOps Engineer (H4 EAD) with 5+ years of hands-on experience designing, automating, and managing scalable cloud infrastructure across AWS and Azure environments.

I specialize in CI/CD pipelines, container orchestration, infrastructure automation, and monitoring solutions that enhance performance, reliability, and speed of delivery. My expertise spans tools like Terraform, Jenkins, Azure DevOps, Kubernetes, Ansible, and Docker — enabling organizations to streamline deployments and improve system scalability.

With strong problem-solving skills and a passion for continuous improvement, I thrive on optimizing DevOps workflows and cloud operations.

💡 Key Strengths:

Cloud Infrastructure: AWS, Azure

CI/CD: Jenkins, Azure DevOps, GitLab

Infrastructure as Code: Terraform, ARM Templates

Containerization: Docker, Kubernetes, AKS, EKS

Configuration Management: Ansible, Chef

Scripting: Python, Shell, Bash

Monitoring: Grafana, Prometheus, ELK, CloudWatch, Azure Monitor

💼 Work Authorization: Authorized to work in the U.S. on H4 EAD
🔍 Open to: Cloud / DevOps Engineer roles (Remote or Onsite)

## Work Experience
### Cloud DevOps Engineer @ Wintrust Financial Corporation
Jan 2023 – Present | Rosemont, Illinois, United States
Designed and maintained end-to-end CI/CD pipelines using Azure DevOps, Jenkins, GitHub, and Docker, enabling reliable and automated deployments across environments.

Built and managed REST and GraphQL APIs using Azure API Management (APIM), implementing routing, throttling, caching, versioning, and security policies.

Implemented enterprise-grade API security using Azure AD OAuth2, RBAC, managed identities, and mTLS.

Provisioned and managed Azure Kubernetes Service (AKS) clusters, deploying containerized applications using Helm with rolling updates and environment-based configurations.

Automated cloud infrastructure using Terraform and ARM templates, ensuring repeatable and scalable deployments.

Developed automation using Ansible and Ansible Tower, migrating legacy Chef recipes and standardizing configuration management.

Built observability dashboards using Kibana, Prometheus, Grafana, and Splunk to monitor API latency, error rates, and container health.

Mentored junior engineers on DevOps best practices, AKS operations, CI/CD pipelines, and monitoring strategies.

### DevOps Engineer @ Flatiron Health
Jan 2022 – Jan 2023 | New York, United States
Designed cloud solutions on Microsoft Azure, supporting scalable and secure application deployments.

Implemented Infrastructure as Code (Terraform) to provision Azure resources including VNets, NSGs, subnets, Key Vault, and Service Bus.

Built and managed CI/CD pipelines using GitLab CI, Jenkins, GitHub Actions, and Ansible for automated builds and deployments.

Containerized applications using Docker and deployed workloads to Azure Kubernetes Service (AKS) using Helm charts.

Designed and maintained Azure Data Factory pipelines supporting production data warehouse workflows.

Automated application and server configurations using Ansible, improving deployment consistency across environments.

Supported Azure SQL databases, including schema creation, data imports, and stored procedures.

### DevOps Engineer @ Progressive Insurance
Jan 2020 – Jan 2022 | Mayfield Heights, OH
Designed and deployed highly available AWS infrastructure using EC2, VPC, EKS, ELB, Auto Scaling, and S3.

Automated infrastructure provisioning using Terraform, Ansible, and CloudFormation across multiple environments.

Built CI/CD pipelines for microservices and APIs using Jenkins and GitHub Actions, enabling faster and safer releases.

Managed containerized workloads on Kubernetes, including pod configuration, service exposure, and scaling.

Implemented and secured APIs using AWS API Gateway, OAuth2, JWT, and IAM policies.

Automated AWS operations using Python scripts and reusable Terraform modules.

Monitored production systems using AWS CloudWatch and Splunk, performing root cause analysis and incident resolution.

Supported migration from on-prem systems to AWS using Chef for configuration management.


## Education
### Vignan's Lara Institute of Technology and Science


## Contact & Social
- LinkedIn: https://linkedin.com/in/mahitha-s-9k0a11390

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Source: https://flows.cv/mahithas
JSON Resume: https://flows.cv/mahithas/resume.json
Last updated: 2026-04-17