Senior DevOps Engineer - AWS, Kubernetes, Terraform Expert

Shanmukha Sai Narapusetty

DevOps Engineer

*************@*****.*** +1-682-***-**** Austin, TX 78660 LinkedIn Summary

DevOps Engineer with approximately 5 years of hands-on experience designing, automating, and optimizing cloud infrastructure and CI/CD pipelines across large enterprise environments. Highly skilled in AWS, Kubernetes (EKS), Terraform, Jenkins, and GitHub Actions, with a strong record of improving deployment speed, enhancing reliability, and driving end-to-end cloud automation. Experienced in monitoring and observability using Prometheus, Grafana, ELK, and Splunk, alongside cost optimization, infrastructure security, and configuration management. Adept at partnering with cross-functional teams to deliver scalable, secure, and high-performance solutions for R&D, network engineering, and enterprise SaaS workloads. Skills

Cloud & Virtualization: AWS (EC2, S3, IAM, VPC, RDS, EKS, Lambda, CloudFront, SNS, SQS, CloudWatch, CloudFormation), Microsoft Azure (VMs, AKS, Azure DevOps, Blob Storage), GCP, Alibaba Cloud, VMware Workstation, Vagrant, VirtualBox, Oracle VM. Containerization & Orchestration: Docker, Docker Swarm, Kubernetes (EKS, AKS), OpenShift, Helm, Rancher, and Argo CD. CI/CD & DevOps Tools: Jenkins, GitHub Actions, GitLab CI, Bamboo, Nexus, Artifactory (JFrog), SonarQube, Maven, Gradle, ECR. Infrastructure as Code (IaC): Terraform (HCL), Ansible, AWS CloudFormation (YAML), Packer. Configuration Management: Ansible, Chef, Puppet.

Monitoring, Observability & Logging: Prometheus, Grafana, Splunk, ELK Stack, Datadog, Dynatrace, New Relic, CloudWatch, Jaeger, Telemetry, Nagios.

Scripting & Automation: Bash, Shell, Python, PowerShell, Groovy, JavaScript, JSON, YAML, Dockerfile. Version Control & Collaboration: Git (GitHub, GitLab, Bitbucket), JIRA, Confluence, ServiceNow. Application & Web Servers: Apache Tomcat, Apache HTTP, Nginx, WebSphere, and WebLogic. Databases: PostgreSQL, MySQL, MongoDB, Cassandra, DynamoDB, AWS RDS, Snowflake, Redshift, Oracle. Operating Systems: Linux (RHEL, Ubuntu, CentOS, Debian), Unix, Windows Server, macOS. Professional Experience

Sr. DevOps Engineer

Apple

Jul 2024 – Present Austin, TX

•Led the provisioning of AWS EC2 instances and VPC setups to accommodate the new 1M+ sq ft R&D labs, supporting up to 15,000 users without downtime.

•Implemented GitHub Actions and Jenkins workflows to accelerate software updates for hardware prototyping, reducing deployment times by 40% during Samsung chip integration.

•Deployed Kubernetes (EKS) clusters to manage AI server simulations tied to Houston's production, ensuring scalable testing of M-series silicon with automated workflows for reliability and performance optimization.

•Set up Prometheus and Grafana dashboards to track real-time metrics for the Material Recovery Lab's recycling automation, aiding 60% emissions reductions through enhanced visibility, alerting, and continuous operational performance optimization.

•Used Terraform and Ansible to codify secure IAM policies and RDS configurations, bolstering data protection in semiconductor R&D collaborations through automated provisioning, compliance enforcement, and continuous security posture improvements.

•Developed Python and Bash scripts to automate routine tasks like log aggregation via ELK Stack, freeing teams for innovation in iPhone sensor tech through streamlined workflows, improved reliability, and reduced manual operational overhead.

•Integrated GCP into hybrid cloud workflows by automating VM provisioning and Cloud Storage configurations using Terraform and improved cross-cloud data processing while reducing compute costs through optimized workload distribution.

•Executed scalable, secure, and highly available application deployments across AWS and hybrid data center environments, ensuring seamless cross-environment integration for production and non-production systems.

•Architected and optimized end-to-end CI/CD pipelines using Jenkins and GitHub Actions, enabling seamless code integration, automated testing, and reliable multi-environment deployments. DevOps Engineer

Charter Communications

Sep 2021 – Jun 2024 Denver, CO

•Configured AWS EC2 and VPCs to support the Compark facility growth, enabling quick provisioning of lab environments for 200+ staff with improved consistency, governance, automation, and scalable deployment processes across teams.

•Set up Jenkins and GitHub Actions to automate software releases for DOCSIS upgrades, cutting deployment cycles by 35% in 2022 through streamlined pipelines, parallelized workflows, enhanced validations, and continuous integration improvements.

•Containerized legacy network diagnostic applications using Docker, standardizing environments across development and lab systems, reducing configuration drift, and accelerating onboarding of new services into EKS clusters.

•Deployed Kubernetes (EKS) clusters to run simulations of mid-split network tech, ensuring reliable testing without hardware delays by enabling containerized workloads, automated scaling, faster iteration cycles, and resilient cluster operations.

•Collaborated with development and QA teams to streamline workflows, enhance process efficiency, and ensure timely delivery of high-quality software across multiple environments.

•Integrated Prometheus and Grafana to track HFC network performance during rural fiber builds, spotting issues early to avoid outages through real-time alerts, custom dashboards, proactive monitoring, and automated anomaly detection mechanisms.

•Implemented GitLab CI/CD pipelines for internal network automation tools, enabling faster testing and controlled rollouts across multiple engineering teams while improving visibility, versioning, and deployment reliability.

•Used Terraform to define repeatable setups for fiber extensions in Colorado, speeding up designs from weeks to days with reusable modules, version-controlled templates, improved governance, and fully automated provisioning workflows.

•Designed, implemented, and monitored Kafka producers and consumers using Python and Java, integrating Schema Registry to ensure data consistency, reliability, and real-time processing across distributed systems.

•Wrote Python and Bash scripts to handle routine tasks like log collection via ELK Stack, freeing engineers for innovation by streamlining operations, reducing manual effort, enhancing visibility, and improving overall team productivity.

•Supported the rollout of microservices-based components for DOCSIS and fiber analytics platforms by building CI/CD hooks, managing service dependencies, and ensuring smooth deployments across distributed environments.

•Managed Git workflows and JIRA tickets to coordinate with design teams on centralized mapping for broadband expansions, ensuring clear communication, consistent documentation, workflow alignment, and timely cross-functional project execution.

•Optimized RDS instances and Linux (Ubuntu) servers for data-heavy analytics in DOCSIS 4.0 prototyping, improving query speeds by 25% through tuning parameters, upgrading storage, refining schemas, and enhancing overall system reliability.

•Engineered automation and infrastructure workflows supporting enterprise-scale broadband operations across Colorado, enabling consistent provisioning, scalable testing environments, and reliable performance for millions of subscribers. Jr DevOps Engineer

Tekdynamics

Jan 2021 – Aug 2021 Irving, TX

•Helped configure AWS EC2 instances and S3 buckets for client data storage, supporting quick migrations to hybrid setups through streamlined provisioning steps, improved documentation, and consistent cloud resource management practices.

•Wrote simple Bash and Python scripts to automate file backups and server provisioning, reducing manual setup time by 20% with reusable functions, clearer error handling, and improved automation reliability across environments.

•Assisted in building Jenkins jobs for code deployments, ensuring consistent testing for enterprise app updates through defined pipeline stages, versioned configurations, improved validations, and regular build monitoring practices.

•Set up CloudWatch alerts for resource usage in VPC environments, helping spot issues early in development cycles by enabling proactive monitoring, threshold-based notifications, and faster troubleshooting during peak workloads.

•Maintained Git repositories on GitHub for team projects, facilitating smooth collaboration and code reviews through organized branching strategies, pull requests, commit standards, and continuous integration readiness improvements.

•Configured Ubuntu Linux servers with Nginx for web apps, optimizing basic performance for client demos by tuning configurations, organizing deployments, improving request handling, and ensuring stable uptime during presentations. Projects

R&D Lab Cloud Automation & AI Simulation Platform

•Led a large-scale DevOps initiative to automate cloud provisioning for Apple’s new R&D labs. Built AWS EC2/VPC infrastructure, deployed EKS clusters for AI-driven silicon simulations, and integrated CI/CD using GitHub Actions. Implemented Prometheus/Grafana dashboards and codified infrastructure with Terraform/Ansible to enhance performance, security, reliability, and operational efficiency across next-gen M-series hardware development. DOCSIS Automation & Fiber Network Modernization Platform

•Developed Charter’s automated DevOps platform supporting DOCSIS upgrades and rural fiber expansion. Built CI/CD pipelines with Jenkins/GitHub Actions, deployed Kubernetes clusters for network simulations, and integrated Prometheus/Grafana monitoring. Automated cloud environments using Terraform and optimized RDS/Linux systems, enabling faster releases, scalable testing, proactive issue detection, and improved network reliability across Colorado broadband operations. Cloud Cost Optimization & Governance Automation

•Led an organization-wide cloud cost optimization initiative across AWS accounts, implementing automated tagging, idle resource detection, and scheduled EC2/RDS shutdown workflows using Lambda, Python, and EventBridge. Integrated AWS Budgets and Cost Explorer APIs into Slack alerts for real-time spend visibility. Reduced monthly cloud expenses by 32%, improved compliance to tagging standards by 95%, and eliminated 400+ unused resources through automated governance policies.

Education

Masters in Information Technology

University of Cumberlands

Jan 2021 – Dec 2021 Kentucky, USA

Technology Management

Bowling Green State University

Jan 2016 – Dec 2017 Ohio, USA

Civil Engineering

K L University

Jun 2011 – May 2015 Andhra Pradesh, India

Contact this candidate