Susheel Pendyala
Maryville,MO
Summary
DevOps Engineer with 5.5 years of experience in cloud infrastructure, automation, and CI/CD pipeline management. Expertise in AWS services – IAM, VPC, EC2, EBS, S3, ELB, Auto Scaling, Route 53, SNS. Hands-on experience with Azure cloud – App Services, Virtual Machines, Azure SQL, Azure AD, Data Lake, Data Factory, and ARM Templates. Skilled in Infrastructure as Code (IaC) using Terraform and AWS CloudFormation for consistent and scalable deployments. Proficient in containerization and orchestration with Docker and Kubernetes (EKS) to support microservices architectures. Strong experience in CI/CD automation using Jenkins, GitLab CI, AWS CodePipeline, and Bamboo for efficient software delivery. Well-versed in version control (GitHub), build tools (Maven), and code quality assurance (SonarQube). Strong knowledge of networking concepts – VPC, Route 53, Load Balancers, and IAM for secure cloud environments. Experienced in managing hybrid cloud environments, integrating on-premises infrastructure with AWS cloud services.
Overview
6
6
years of professional experience
1
1
Certification
Work History
System Engineer
Tata Consultancy Services
12.2021 - 11.2022
- Deployed, monitored, and optimized AWS services like EC2, VPC, ELB, Auto Scaling, and S3
- Automated infrastructure provisioning using Terraform and Cloud Formation templates
- Maintained CI/CD pipelines using Jenkins, automating build and deployment processes
- Stored and managed Docker images in Amazon Elastic Container Registry (ECR), leveraging AWS services for secure and scalable container image storage
- Integrated Docker with Kubernetes, pulling container images from Amazon ECR and deploying them into Kubernetes clusters for scalable application management
- Set up automated pipelines using Jenkins and AWS CLI to push new Docker images to ECR and automatically deploy them to Kubernetes clusters, ensuring efficient and timely updates
- Used Kubernetes secrets to securely store AWS ECR credentials, enabling authentication for Kubernetes nodes to pull images from private ECR repositories
- Configured IAM roles, policies, and security groups to maintain secure environments
- Set up, configured, and maintained Kubernetes clusters across multiple environments (development, staging, and production)
- Integrated Kubernetes with Jenkins and other CI/CD tools to automate build, test, and deploy pipelines for containerized applications
- Deployed and managed containerized applications in Azure Kubernetes Service (EKS) clusters using CI/CD pipelines
- Environment: AWS (EC2, VPC, ELB, Auto Scaling, S3, ECR, IAM, Cloud Formation, Cloud Watch), Docker, Kubernetes (EKS), Terraform, Jenkins, AWS CLI, Azure (AKS), Kubernetes Secrets, Bash, CI/CD, IAM roles, Security Groups, API Gateway, Azure Kubernetes Service
DevOps Engineer
Cognizant Technology Pvt Ltd
05.2018 - 09.2021
- Designed and implemented resilient CI/CD pipelines using Jenkins, Maven, and Git to streamline the development and deployment of financial applications
- Automated infrastructure management using Ansible and Terraform, reducing manual errors and improving deployment efficiency
- Managed Kubernetes clusters for microservices orchestration, optimizing resource allocation and application scaling
- Implemented secure networking practices using AWS VPC, Security Groups, and Network ACLs to protect sensitive financial data
- Monitored application health using Datadog and integrated alerts with Slack for real-time incident response
- Developed Python scripts for automating repetitive administrative tasks and system monitoring
- Configured AWS Elastic Load Balancers to ensure high availability and fault tolerance for critical banking applications
- Automated database backups and recovery procedures using AWS RDS snapshots and lifecycle management
- Collaborated with development teams to optimize application performance and deployment strategies
- Integrated HashiCorp Vault for secure storage and management of application secrets and API keys
- Implemented blue-green deployment strategies to minimize downtime during application updates
- Developed custom monitoring plugins for Datadog to capture specific application metrics and thresholds
- Enhanced disaster recovery procedures with cross-region replication and automated failover mechanisms
- Utilized AWS Config for continuous monitoring of resource configurations and compliance auditing
- Environment: AWS (VPC, EC2, RDS, ELB, Config), Jenkins, Terraform, Kubernetes, Datadog, Ansible, Python, Git, Slack, HashiCorp Vault
Jr. DevOps Engineer
Open Text
06.2017 - 05.2018
- Configured and automated Azure services including Web Apps, App Services, Application Insights, and Traffic Manager to optimize cloud operations
- Developed Azure Automation runbooks for task orchestration, logging, and scheduled job execution
- Built Kubernetes clusters, managed pods, deployments, and services using YAML files for containerized applications
- Automated application deployments using Docker containers and Kubernetes orchestration with Helm charts
- Created and managed CI/CD pipelines using Azure DevOps, Jenkins, and SonarQube for secure deployments to AKS
- Implemented Terraform and ARM templates for infrastructure automation across production and testing environments
- Automated environment provisioning and configuration using Ansible and Ansible Tower playbooks
- Integrated monitoring solutions like ELK Stack, Splunk, and Nagios to track performance and troubleshoot issues
- Wrote automation scripts in PowerShell and Python for routine administrative tasks and system maintenance
- Utilized Terraform to create and maintain scalable Azure VMs and cloud resources
- Enhanced security using Azure AD and IAM roles for role-based access control and compliance
- Deployed and managed Docker containers across distributed environments for application consistency
- Monitored distributed servers and container health using Nagios and CloudWatch
- Migrated legacy systems to cloud-native architectures and optimized infrastructure for performance
- Environment: Azure, Azure VMs, Azure AD, Virtual Machines, Microsoft Azure Storage, Docker, Ansible, Terraform, Maven, SonarQube, Web Applications, YAML, Python, Power shell, Microsoft Azure Storage, ARM Services, S3, Azure SQL, MySQL, Nagios, Splunk, YAML
- Reduced time-to-market, automating build, test, and deployment pipelines using CI/CD tools.
Education
Master of Science (M.S.) - Computer Science
Northwest Missouri State University
Maryville, Missouri12.2024
Bachelor of Technology (B.Tech) - Computer Science Engineering
Malla Reddy Engineering College
Hyderabad04-2017
Skills
- Cloud Platforms: AWS, Azure
Identity & Access Management: IAM, Azure AD
Networking: VPC, Route 53, Load Balancers, DNS
Compute & Storage: EC2, EBS, S3, Auto Scaling
DevOps & CI/CD: Jenkins, GitLab CI, AWS CodePipeline, Bamboo
Infrastructure as Code (IaC): Terraform, AWS CloudFormation, ARM Templates, Ansible
Containerization & Orchestration: Docker, Kubernetes, Helm, OpenShift
Version Control & Code Quality: GitHub, GitLab, Maven, SonarQube
Monitoring & Logging: CloudWatch, Prometheus, ELK, Grafana
Automation & Scripting: Bash, Python, Infrastructure Automation, PowerShell
System Administration & Performance: Linux OS, Troubleshooting, Performance Optimization, Security Best Practices
Certification
- AWS Certified Solutions Architect – Associate
Disclaimer
I hereby declare that the above-mentioned information is true to the best of my knowledge.
Timeline
System Engineer
Tata Consultancy Services
12.2021 - 11.2022
DevOps Engineer
Cognizant Technology Pvt Ltd
05.2018 - 09.2021
Jr. DevOps Engineer
Open Text
06.2017 - 05.2018
Master of Science (M.S.) - Computer Science
Northwest Missouri State University
Bachelor of Technology (B.Tech) - Computer Science Engineering
Malla Reddy Engineering College
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