Cloud Infrastructure Devops Engineer

SAI NITHIN BITRAGUNTA

**********@*****.*** +1-919-***-**** LinkedIn Raleigh, NC

EDUCATION

Master of Science, Computer and Information Systems, Christian Brother’s University, Memphis. May 2023 Bachelor of Technology, Computer Science, Aurora Institute of Science &Technology, India. Aug 2019 PROFESSIONAL EXPERIENCE

Mila Health, Raliegh, NC– Cloud Infrastructure Engineer 1 Jan 2025 - Apr 2025

• Built complete Azure cloud infrastructure, provisioning Application Gateway (AGW), Cosmos DB, Storage Accounts, Networking, and Monitoring stacks using custom-built Terraform modules and public DNS zones for secure multi-environment (Dev, QA, Prod) deployments.

• Designed and deployed Azure Function Apps for service automation, integrating Managed Identities, configuring Storage Account queues, and enabling secure, workflows across microservices.

• Architected and implemented GitHub Actions CI/CD pipelines from scratch to automate Terraform-based infrastructure deployments and service rollouts using OIDC authentication and security across environments and configured GitHub self-hosted runners to support terraform and application pipelines.

• Registered and configured Azure App Registrations and multi-tenant enterprise applications, establishing seamless identity federation for internal services, APIs, and GitHub-based CI/CD systems.

• Integrated Prometheus and Grafana for real time metrics visualization, and configured OpenSearch log pipelines for centralized debugging, alerting and traffic tracing across Kubernetes services.

• Integrated Azure Event Hub into the cloud ecosystem for real-time telemetry ingestion, event streaming, and microservice communication, fully provisioned and secured through Terraform automation. Comcast, TX(Contract) – DevOps Engineer Aug 2023 - Dec 2024

• Managed containerized applications using Docker and OpenShift Kubernetes platform, utilizing nodes, ConfigMaps, node- selectors, and Services for efficient orchestration and deployment of scalable cloud-native applications. Created and managed Helm charts for deploying and upgrading observability and analytics services within OpenShift clusters.

• Implemented a robust observability stack on OpenShift using Grafana, Prometheus, Mimir, and Tempo, enabling real-time monitoring, distributed tracing, and custom alerting across multiple environments. Integrated alerting and visualization dashboards with Prometheus metrics, significantly reducing service downtime and improving root cause analysis.

• Developed and maintained automation scripts in Bash and Python for log collection, service health checks, deployment validation, and monitoring hooks, improving operational speed and deployment accuracy while reducing manual intervention by 60%.

• Utilized S3 for object storage to handle large datasets and metadata in multi-asset analytics workflows, ensuring high availability and secure data access.

• Used GitHub for version control and implemented CI/CD pipelines using GitHub Actions and Jenkins to automate builds, tests, and deployments across environments.

• Worked closely with release and change management teams to coordinate software rollouts and maintain stable production deployments. Generated detailed reports on deployment statuses, container performance trends, system metrics, and resource usage for stakeholder visibility.

Dell Technologies, India– DevOps Engineer May 2019 - Nov 2021

• Managed Designed and deployed a highly scalable and fault-tolerant e-commerce platform architecture using AWS (EC2 Lambda, S3, EKS) and Kubernetes, ensuring high availability, seamless performance during peak traffic, and cost efficiency through auto-scaling.

• Automated CI/CD pipelines using Jenkins, Git, and Helm charts, integrating security checks and automated testing to reduce deployment time by 35%.

• Implemented Infrastructure as Code (IaC) with Terraform, AWS CloudFormation, and Ansible to provision and manage Kubernetes clusters, RDS databases, and VPCs. Leveraged ConfigMaps, Secrets, and namespaces for workload isolation and secure configurations and Integrated Apache Kafka for real-time data streaming and processing, enabling reliable event-driven communication between microservices.

• Strengthened security by implementing RBAC, Kubernetes network policies, encrypted configurations via Helm, and vulnerability scanning with SonarQube and Optimized operational efficiency with Python and Bash scripts, Git hooks, Kafka consumers, and Kubernetes auto-scaling, reducing manual intervention.

• Worked closely with product and release teams to define environment specific configuration standards, optimizing API response time and reducing misaligned configurations during microservice rollouts. TECHNICAL SKILLS

• Operating Systems & Scripting: Linux(Red Hat, CentOS, Ubuntu), Unix, Shell, Bash, Java, Python, Groovy.

• Cloud Platforms: AWS, AZURE.

• DevOps Tools & CI/CD: Jenkins, GitHub Actions, GitLab CI/CD, AWS Code pipeline, GitHub Runners, OIDC based auth.

• Monitoring, Observability & Testing: AWS CloudWatch, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Azure Monitor, Application Insights, OpenSearch, Postman, Swagger (Open API), Cypress, JMeter, Selenium.

• Containers, Orchestration & Event Streaming: Docker, Kubernetes, AWS Elastic Kubernetes Service (EKS), Elastic Container Service (ECS), Azure Kubernetes Service (AKS), RabbitMQ, Event Hub.

• Infrastructure & IaC: Terraform (IaC), AWS CloudFormation, Ansible, Chef, Azure Resource Manager templates, AWS CLI, Auto Scaling Groups, Cross-region S3 replication.

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