AWS DevOps Engineer - CI/CD & Automation

Anusha Gogineni *****************@*****.***

Detroit, MI Mobile # +1-947-***-****

v Professional Summary:

• AWS DevOps Engineer with 1+ years of experience in cloud infrastructure, automation, application support, and production operations within AWS environments.

• Experienced in implementing CI/CD pipelines, Infrastructure as Code (Terraform and CloudFormation), and automation solutions using Python, AWS Lambda, and Jenkins.

• Proficient in AWS services including EC2, VPC, IAM, RDS, S3, Lambda, CloudWatch, Route 53, API Gateway, SNS, and DynamoDB for building scalable and secure cloud solutions.

• Skilled in proactive monitoring, incident response, troubleshooting, root cause analysis, and performance optimization to ensure high availability and reliability of critical applications.

• Hands-on experience with containerization and orchestration technologies including Docker and Kubernetes for deploying and managing microservices-based applications.

• Knowledge of Linux administration, cloud networking concepts, and AWS security services to support reliable and secure cloud environments.

v Education:

• Master of Science in Computer Information Sciences from Trine University, Allen Park, MI v Certifications:

• AWS Certified Developer – Associate

• IBM Certified Solution Developer - WebSphere Message broker. v Technical Skills:

Title Tools used

AWS Services Ec2, EFS, VPC, RDS, S3, Glacier, IAM, Kinesis, Cloud Front, Cloud Watch, Cloud Trail, Cloud Formation, DynamoDB, Lambda, Route53, SNS, SQS, API Gateway, Code Build, Elastic Search, Code Deploy etc.

Configuration Management Ansible, Chef

Languages Python, Java, Shell, JSON, YAML

Version Control GIT, Code Commit

Operating systems Windows, Linux, Unix, Ubuntu, RHEL Databases SQL Server, Oracle, MySQL

Monitoring & Observability CloudWatch, SNS, Log Analysis DevOps Tools Elastic Beanstalk, Jenkins, Code Pipeline

• Professional Experience:

DevOps Engineer Jan 2026 - Present

Mercedes Benz Financial Farmington Hills, MI

• Implemented proactive monitoring and alerting solutions using Amazon CloudWatch and SNS to improve application availability and reduce incident detection time.

• Managed and supported AWS production environments including EC2, RDS, Lambda, VPC, S3, Route53, IAM, CloudFormation, and CloudFront.

• Developed Infrastructure as Code solutions using CloudFormation to automate provisioning and standardize deployments across multiple environments.

• Designed and maintained CI/CD pipelines using Jenkins and AWS Code Pipeline, enabling reliable and repeatable software deployments.

• Built automation solutions using Python, AWS Lambda, and Ansible to reduce manual operational tasks and improve system reliability.

• Collaborated with developers to troubleshoot production issues, perform root cause analysis, and implement preventive measures.

• Deployed and managed containerized applications using Docker and Docker Swarm architectures.

• Supported highly available cloud infrastructure and participated in operational readiness and incident resolution activities.

• Created reusable infrastructure templates and deployment workflows that improved deployment consistency across development, QA, and production environments.

• Experience working with REST APIs and JSON-based integrations for application deployment, automation, and cloud services.

• Developed and maintained serverless applications using AWS Lambda, API Gateway, and Python.

• Hands-on experience configuring AWS networking components including VPCs, Subnets, Route Tables, NAT Gateways, Security Groups, and NACLs.

• Experience troubleshooting network connectivity issues involving DNS, load balancers, routing, and security groups.

• Utilized Terraform and CloudFormation to provision and manage AWS infrastructure through Infrastructure as Code (IaC).

Application Support Engineer Jan 2024 – Aug 2024

IBM Hyderabad, India

• Served as a primary technical support contact for enterprise customers, troubleshooting complex application and infrastructure issues in production environments.

• Investigated application logs, system metrics, and performance data to diagnose and resolve customer-impacting incidents.

• Performed root cause analysis on recurring production issues and partnered with development teams to implement permanent fixes.

• Restored critical business applications and data delivery pipelines by resolving high-priority defects in Python-based applications.

• Designed and maintained CI/CD pipelines using Jenkins, Python, and Shell scripting to automate software delivery processes.

• Built cloud automation solutions using AWS Lambda, API Gateway, Route53, and Python to improve operational efficiency.

• Deployed and managed AWS infrastructure using Terraform and CloudFormation, including monitoring and deployment automation.

• Supported AWS networking services including VPCs, subnets, route tables, NAT gateways, internet gateways, and security controls.

• Participated in incident triage, escalation, and resolution while maintaining clear communication with customers and stakeholders.

• Worked closely with engineering and operations teams in Agile environments to improve platform reliability and performance.

• Assisted with capacity planning, infrastructure optimization, and cloud architecture improvements for scalable production workloads.

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