DevOps Engineer with Cloud & CI/CD Automation

RONAK SETH

832-***-**** *****.*@**********.*** LinkedIn GitHub Maryland, USA (Open to Relocate) PROFESSIONAL SUMMARY

DevOps and System Engineer with 6+ years of experience supporting enterprise-scale infrastructure and cloud platforms across healthcare and regulated environments. Proven track record in CI/CD automation, container orchestration, cloud migrations, and system reliability, managing 1,000+ Linux and Windows servers and production workloads on AWS and Kubernetes. Hands-on expertise in infrastructure as code, configuration management, monitoring, and ITIL-based operations, with consistent success improving deployment efficiency, platform stability, and incident response.

WORK EXPERIENCE

DXC Technology Ashburn, VA

DevOps Engineer August 2025 – Present

• Built CI/CD pipelines using GitHub Actions and Bitbucket to support AWS applications deployed on Amazon EKS and Elastic Beanstalk, improving deployment frequency by 30% while aligning delivery with Agile (Scrum) sprint cycles.

• Implemented infrastructure provisioning using Terraform, CloudFormation, and Pulumi for multi-environment AWS setups, reducing manual configuration effort by 40% and improving consistency across development, QA, and production environments.

• Managed container deployments using ArgoCD and Docker Swarm, enabling version-controlled releases and controlled rollbacks, which lowered deployment-related issues by 25% across supported client applications.

• Tracked system performance and availability using CloudWatch and Datadog, coordinated incident and change workflows through JIRA, and supported PostgreSQL-based services, contributing to a 20% improvement in incident resolution time. ROOTSID LLC Baltimore, MD

DevOps Engineer March 2024 – July 2025

• Orchestrated container build and deployment workflows using GitHub Actions integrated with AWS CodePipeline, enabling Docker image builds, ECR pushes, and Amazon ECS Fargate service updates, which reduced deployment time by 35% and improved release reliability.

• Configured secure access and runtime controls using AWS IAM and Systems Manager (SSM), enforcing least-privilege policies and parameterized configuration management, resulting in zero credential exposure incidents across production environments.

• Developed CI validation pipelines using Jenkins aligned with Test-Driven Development (TDD) practices, ensuring automated test execution before deployment and reducing post-release defects by 28%.

• Provisioned and maintained infrastructure and application configuration using Ansible, supporting workloads across Kubernetes clusters and IBM WebSphere environments, which improved environment consistency and reduced configuration drift by 30%.

• Monitored application performance and database health using Grafana and Dynatrace, tuning PostgreSQL queries and alerts, leading to a 22% improvement in system availability and faster detection of performance degradation. ORACLE CERNER Bangalore, India

Senior System Engineer July 2021 – July 2022

• Acted as a senior point of contact and technical lead for 10+ US/Canada healthcare clients, driving strategic infrastructure initiatives and ensuring seamless coordination between stakeholders to maintain business-critical application uptime above 99.5%.

• Performed virtual machine migrations as part of data center consolidation and early AWS migration initiatives, reducing on-prem infrastructure dependency by 30% and supporting phased cloud adoption for Cerner clinical applications.

• Administered Oracle 19c databases and IBM MQ 9.x+ messaging queues, monitoring data flow between clinical systems and downstream services, which reduced message latency and processing failures by 20%.

• Managed operational workflows using ServiceNow, handling Incident and Change Management in line with ITIL standards and CAB approvals, resulting in a 15% reduction in unplanned outages.

• Developed operational dashboards using Power BI to track system health, incident trends, and change success rates, enabling faster root- cause analysis and improving reporting visibility for healthcare operations teams. CERNER HEALTHCARE SOLUTIONS PRIVATE LIMITED Bangalore, India System Engineer January 2018 – July 2021

• Supported enterprise-scale EMR infrastructure across 1,000+ Linux and Windows servers, maintaining high availability for clinical systems while meeting healthcare uptime and compliance requirements.

• Oversaw application delivery platforms using Citrix XenApp, ensuring secure and reliable access to EMR applications for clinical and operational users across multiple facilities.

• Automated configuration and system management using Chef and GitHub, reducing manual administrative effort by 35% and improving consistency across server builds.

• Migrated shared storage from NFS to GlusterFS and implemented SAP BusinessObjects, improving reporting availability and reducing storage-related incidents by 25%.

• Executed routine patching and OS, kernel, and firmware upgrades within VMware virtual environments, decreasing security vulnerabilities and unplanned downtime by 20%.

• Resolved operational incidents and changes using Remedy, JIRA, and Slack, while monitoring system health through Splunk and Zabbix, resulting in faster issue detection and improved response times. PROJECTS

Predictive Analytics for Hospital Resource Optimization January 2024 – March 2024 Tech Stack: Cloud & Machine Learning AWS, Python, Terraform, Docker, Power BI, PostgreSQL

• Launched and deployed a cloud-native pipeline on AWS to predict hospital admission rates with 82% model accuracy, enabling data- driven planning and resource allocation.

• Deployed the containerized Python-based ML model to AWS ECS Fargate with API Gateway and IAM-based access control, aiming to automate forecast delivery and simulate a 90% reduction in manual workload for hospital planning teams.

• Provisioned infrastructure using Terraform, managing S3, RDS (PostgreSQL), Lambda, and networking resources via infrastructure-as- code for repeatable deployments.

• Programmed daily inference automation with AWS Lambda and CloudWatch Events to eliminate manual steps and maintain consistent pipeline performance.

• Stored predictions in Amazon S3 and RDS, and delivered interactive dashboards in Tableau/Power BI to visualize 7-day forecasts for operational teams.

• Enhanced system observability by configuring CloudWatch logs and alerts, improving anomaly detection by 2 and response efficiency by 40%.

Real-Time Stock Monitoring with Scalable Data Pipeline September 2023 – December 2023 Tech Stack: Cloud Computing & Data Engineering AWS, Terraform, Python, Tableau, PostgreSQL

• Designed a real-time stock price ingestion pipeline using AWS ECS Fargate, API Gateway, and Lambda, simulating a high-availability FinTech data system with <2s latency.

• Built microservices in Python to fetch and process simulated 10,000+ daily stock price records from Alpha Vantage API, storing results in Amazon RDS (PostgreSQL).

• Automated infrastructure provisioning using Terraform, deploying ECS services, networking components, IAM roles, secure secrets management, and 10+ additional cloud resources, significantly reducing setup time and ensuring consistent deployments.

• Engineered CI/CD pipelines using GitHub Actions to streamline builds, test execution, and 5+ reliable, stable releases.

• Implemented CloudWatch monitoring, custom metrics, and SNS alerting to detect ingestion failures and automatically restart failing services via Lambda-based auto-healing, reducing MTTR by 80%.

• Created an interactive Tableau dashboard for real-time analytics and demos, visualizing 1000+ data points across market trends. SKILLS

Methodologies & Frameworks: SDLC, Agile (Scrum), Waterfall, Test-Driven Development (TDD), ITIL DevOps & DevSecOps: CI/CD (Jenkins, GitLab CI, GitHub Actions), Infrastructure as Code (Terraform, CloudFormation, Ansible, Pulumi), Configuration Management (Puppet, Chef, ArgoCD), Secrets Management (HashiCorp Vault, PasswordSafe), Compliance Automation Containers & Orchestration: Docker, Kubernetes, Docker Swarm, Amazon ECS, ECS Fargate, Amazon EKS, Azure Kubernetes Service (AKS) Cloud Platforms & Services: AWS (EC2, S3, IAM, API Gateway, CloudWatch, CodeBuild, CodePipeline, CodeDeploy, Elastic Beanstalk), Microsoft Azure (Azure DevOps Pipelines, Logic Apps) Monitoring, Logging & Observability: Splunk, Grafana, Prometheus, Dynatrace, Datadog, ELK Stack, Zabbix Programming & Scripting: Python, PowerShell, Bash, Ruby, YAML Version Control & Databases: Git, GitHub, Bitbucket, SVN, MongoDB, MySQL, MySQL Workbench, PostgreSQL, Redis API & Testing Tools: REST APIs, Postman

Enterprise & Middleware Platforms: IBM WebSphere, Citrix XenApp, SAP BusinessObjects Project & IT Service Management: JIRA, ServiceNow, Remedy, Incident Management, Change Management, Asana, Slack EDUCATION

Masters of Science in Information Systems May 2024 University of Maryland Baltimore County, Baltimore, MD GPA: 3.97/4.0 B.Tech in Computer Science and Engineering May 2018 Vellore Institute of Technology University, Vellore, India CGPA: 8.87/10 AWARDS AND ACHIEVEMENTS

Innovation Award '21 (Domain Controller Server Reclaim) C3 Award '21 (Client Support & Security) Rising Star Award '19 (Project Contributions & Client Satisfaction) Star & Infinity Award '20 (CAMM Management) CERTIFICATIONS

Oracle Cloud Infrastructure: Certified Foundations Associate Tableau A-Z: Hands-On Tableau Training for Data Science

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