Cloud/DevOps Engineer with SRE Focus

Swetha Edam

Cloud Engineer DevOps Engineer SRE Platform Engineer

Email: *********@*****.*** Phone: +1-480-***-****

PROFESSIONAL SUMMARY

Cloud / DevOps Engineer with 6+ years of experience supporting Indian and U.S. enterprise clients, specializing in AWS cloud infrastructure, Kubernetes platforms, CI/CD automation, Terraform-based Infrastructure as Code, and SRE practices. Strong expertise in building, automating, monitoring, and operating scalable, secure, and highly available systems. Proven experience in production support, incident response, observability, and cross-functional collaboration in Agile environments.

CORE COMPETENCIES

Cloud Engineering DevOps & SRE Practices Platform Engineering AWS / Azure / GCP Kubernetes & Docker

CI/CD Pipelines Terraform & CloudFormation

Infrastructure as Code (IaC) Automation & Scripting Monitoring & Observability Linux System Administration Security, Networking & Cloud Governance

TECHNICAL SKILLS

Cloud Platforms

AWS (EC2, EKS, ECS, S3, VPC, IAM, RDS, Lambda, CloudFormation, CloudWatch, SNS, SQS, Route53)

Azure (AKS, Virtual Machines, VNets)

GCP (GKE, Cloud Storage, IAM)

DevOps / Platform Tools

Terraform, Ansible, Helm, Puppet, Chef

Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline, AWS CodeBuild, Argo CD Containers & Orchestration

Docker, Kubernetes (EKS, AKS, GKE), OpenShift, Helm Charts Monitoring & Observability

Prometheus, Grafana, Datadog, Splunk, ELK Stack, CloudWatch Scripting & Programming

Python, Bash, Shell, Groovy, YAML, JSON

Databases & Platforms

PostgreSQL, MySQL, DynamoDB, MongoDB, Amazon RDS, Redshift Collaboration & ITSM

Git (GitHub, GitLab, Bitbucket), Jira, Confluence, ServiceNow PROFESSIONAL EXPERIENCE

DevOps / Cloud Engineer

Capital One, McLean, Va June 2025 – Present

• Supported and enhanced production-grade Kubernetes platforms hosting mission- critical applications.

• Owned day-to-day platform reliability, availability, and operational stability across cloud environments.

• Optimized CI/CD pipelines and deployment workflows using Jenkins, Terraform, and Ansible.

• Improved monitoring, alerting, and observability using Datadog, Prometheus, Grafana, and CloudWatch.

• Participated in 24x7 on-call rotations, handling incidents, escalations, and service restorations.

• Performed root cause analysis (RCA) and implemented preventive fixes to reduce repeat incidents.

• Worked on performance tuning, capacity planning, and cost optimization initiatives.

• Assisted with Kubernetes upgrades, patching, and platform enhancements.

• Collaborated with application, security, and compliance teams to support secure production releases.

• Maintained operational documentation, runbooks, and incident records in Confluence and ServiceNow.

Environment:

AWS, Kubernetes (EKS), Docker, Terraform, Ansible, Jenkins, Datadog, Prometheus, Grafana, CloudWatch, Linux, Git, Jira, ServiceNow

DevOps / Cloud Engineer

Deloitte, Gilbert, AZ July 2024 – May 2025

• Designed and deployed Kubernetes clusters using kubeadm, automating provisioning and configuration with Ansible.

• Built and maintained end-to-end CI/CD pipelines using Jenkins, Helm, and AWS CodePipeline for microservices.

• Automated Java application deployments to Tomcat and WebLogic using Ansible and Terraform.

• Implemented GitOps workflows using Argo CD with automated sync, validation, and rollback strategies.

• Created reusable Terraform modules to provision AWS and GCP infrastructure across dev, staging, and production.

• Integrated Datadog, Prometheus, Grafana, and CloudWatch for centralized monitoring and alerting.

• Configured HashiCorp Vault for secure secrets injection into Kubernetes workloads.

• Developed Python and Shell scripts to automate operational tasks and reduce manual effort.

• Designed and scheduled Airflow DAGs for data ingestion, orchestration, and alert workflows.

• Implemented Ansible playbooks for OS patching, configuration management, and environment standardization.

• Created AWS CloudFormation templates for VPCs, EC2, ELB, RDS, and security groups.

• Supported audit readiness, compliance controls, and detailed documentation for banking systems.

Environment:

AWS, GCP, Kubernetes (EKS), Docker, Jenkins, Helm, Argo CD, Terraform, Ansible, CloudFormation, Datadog, Prometheus, Grafana, CloudWatch, HashiCorp Vault, Airflow, Tomcat, WebLogic, Python, Shell, Git, Confluence

AWS DevOps / Cloud Engineer

Platform9, San Jose, CA Jan 2023 – June 2024

• Migrated on-prem Linux (RHEL) workloads to AWS using Auto Scaling and high- availability architectures.

• Provisioned and managed AWS services including EC2, ECS, EKS, S3, RDS, DynamoDB, VPC, Route53, IAM, and CloudWatch.

• Built, maintained, and optimized Jenkins CI/CD pipelines integrated with GitHub, Bitbucket, Nexus, and SonarQube.

• Automated infrastructure provisioning using Terraform and CloudFormation, following IaC best practices.

• Implemented Ansible-based configuration management for server provisioning, patching, and deployments.

• Designed and maintained centralized logging using the ELK Stack.

• Developed monitoring and alerting tools using Python and Node.js.

• Deployed and managed containerized applications on AWS ECS and Kubernetes.

• Built Grafana dashboards to monitor application, infrastructure, and Kubernetes metrics.

• Automated SLA, incident, and compliance reporting using Python, Slack Webhooks, and AWS services.

• Integrated Splunk alerts and CloudWatch alarms to improve incident response times.

• Actively supported production issues, troubleshooting, and post-incident reviews. Environment:

AWS, Jenkins, Terraform, CloudFormation, Ansible, Docker, Kubernetes, ELK Stack, Grafana, Splunk, Python, Node.js, GitHub, Bitbucket, SonarQube, Linux (RHEL) DevOps Engineer/SRE

People Tech, Hyderabad, IN May 2018 – July 2021

• Designed, built, and maintained CI/CD pipelines using Jenkins, Maven, Git, and Nexus for enterprise Java applications.

• Deployed and supported applications on Apache Tomcat and WebLogic with load balancing and high availability.

• Migrated on-prem infrastructure to AWS using CloudFormation, Chef, and OpsWorks.

• Implemented automated build, release, and deployment workflows using AWS CodePipeline and CodeDeploy.

• Developed Shell and Perl scripts to automate deployments, backups, and routine operational tasks.

• Supported Hadoop and Apache Spark workloads running on YARN with Hive integration.

• Managed source code repositories using Git and Subversion (SVN).

• Executed database deployment scripts aligned with application releases.

• Monitored application and server health using AWS monitoring tools and logs.

• Provided L2/L3 production support and collaborated with development teams during release cycles.

Environment:

AWS, Jenkins, Maven, Git, SVN, Nexus, Tomcat, WebLogic, Chef, OpsWorks, Hadoop, Spark, Hive, Linux, Shell, Perl

EDUCATION

Master of Science – Information Technology Management Concordia University St. Paul Aug 2021 – Dec 2022 Bachelor of Technology – Information Technology

Jawaharlal Nehru Technological University Sept 2014 – May 2018 CERTIFICATIONS

• AWS Certified Developer – Associate

• Generative AI Fundamentals

• Gen AI Practitioner

• Generative AI Mastery: Building Intelligent Copilots & Orchestrators

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