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DevOps Engineer with 5 Years Cloud & Kubernetes Expertise

Location:
United States
Salary:
70000
Posted:
January 15, 2026

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Resume:

Ram Teja Borra

Email: **************@*****.***

Mobile: +1-816-***-****

DevOps Engineer

PROFESSIONAL SUMMARY:

DevOps Engineer with around 5 years of experience architecting and building distributed applications in multi-cloud environments (AWS and Azure), utilizing IaC and modern containerization systems to support game development and services. Provided technical leadership and code review.

Provisioned scalable infrastructure using Terraform, AWS CloudFormation, and Azure ARM templates, enabling rapid environment setup with reusable modules, automated versioning, and robust rollback capabilities across cloud environments, ensuring security and compliance.

Designed and maintained CI/CD pipelines using Azure DevOps, Jenkins, and GitHub Actions for seamless cloud deployments, implementing approval gates, version control, and automated testing workflows, with expertise in branch management.

Deployed containerized applications to Kubernetes (EKS and AKS), using Helm charts and autoscaling policies to orchestrate microservices for high-availability production workloads in hybrid cloud setups, focusing on open-source frameworks.

Managed infrastructure state using Terraform Cloud and Azure Resource Manager, implementing remote state locking, workspaces, and change tracking to ensure environment integrity in all deployments, while automating deployments efficiently.

Monitored Azure workloads using Azure Monitor, Log Analytics, and Application Insights; built AWS dashboards in CloudWatch and Grafana to visualize cloud service performance and system health, with proficiency in cloud-based monitoring.

Used Ansible and PowerShell DSC for configuration management across AWS EC2 and Azure VMs, enabling consistent OS patching, middleware setup, and service configuration across environments, diagnosing performance and connectivity issues.

Automated cloud resource creation using Python and Bash scripts, enabling on-demand infrastructure provisioning, scheduled backups, and log rotation tasks in AWS and Azure virtual environments, with significant programming experience.

Integrated Azure Key Vault and AWS Secrets Manager with pipelines for secure injection of credentials, certificates, and tokens, ensuring compliance with enterprise security and access policies, and understanding of GDPR.

Designed network topologies with Azure VNets and AWS VPCs, using NSGs, security groups, and route tables to enforce isolation, traffic flow control, and high availability in distributed cloud systems, understanding hybrid cloud networking.

Configured Azure Load Balancer and AWS ALB with auto-scaling groups to optimize traffic distribution and resilience, supporting fault-tolerant architectures and seamless blue-green deployments, managing capacity issues and fallback.

Implemented centralized logging and alerting with ELK stack on Azure and AWS CloudWatch Logs, enabling proactive issue detection and RCA through log aggregation, filtering, and pattern analysis, familiar with SIEM integration.

Set up RBAC policies and role assignments in Azure Active Directory and AWS IAM, managing cross-team access and enforcing least-privilege principles across DevOps pipelines and cloud workloads, with expertise in account management.

Conducted cost analysis and cloud spend optimization using Azure Cost Management and AWS Trusted Advisor, implementing resource tagging, budget alerts, and automation for cost-effective scaling, with operational management skills.

Supported hybrid-cloud disaster recovery strategies with Azure Backup and AWS S3 Glacier Vault Lock, ensuring data durability and compliance with organizational retention and recovery policies, and database administration basics.

TECHNICAL SKILLS:

Cloud Platforms - AWS (EC2, S3, RDS, VPC, IAM, CloudFormation, EKS, ECS, Lambda, CloudWatch), Azure (App Services, AKS, Blob Storage, Azure DevOps, ARM Templates, Key Vault, Azure Monitor), Google Cloud

DevOps & CI/CD Tools - Azure DevOps Pipelines, Jenkins, GitLab CI, GitHub Actions, CodePipeline, CodeBuild, CodeDeploy, SonarQube, WhiteSource, Perforce, Team City, Packer

Infrastructure as Code (IaC) - Terraform, ARM Templates, AWS CloudFormation, Bicep

Containerization & Orchestration - Docker, Docker Compose, Kubernetes (AKS, EKS), Helm, Amazon ECR, AWS Fargate, ECS

Scripting Languages - Bash, PowerShell, Python, YAML, JSON, GoLang, C++

Monitoring & Logging - Azure Monitor, Application Insights, AWS CloudWatch, ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus, AWS X-Ray, Nagios, Splunk, Graphite, New Relic, Data Dog

Configuration Management - Ansible, PowerShell DSC, Salt, Chef, Puppet

Version Control - Git, GitHub, Bitbucket, GitLab, Azure Repos

Networking & Security - IAM, RBAC, Azure AD, KMS, Secrets Manager, Azure Key Vault, API Gateway, Route 53, Security Groups, NSGs, VNET/VPCs, ExpressRoute, DirectConnect, MegaPort, Load Balancers, Distributed Denial of Service (DDoS) protection, Web Application Firewall (WAF)

Operating Systems - Linux (Ubuntu, CentOS, Amazon Linux), Windows Server

Data Management - Synapse, Redshift, Kafka, MySQL, MongoDB, SQL

AI/ML Platform Services - Azure based AI services, Azure Foundry, Azure Open AI, Azure Cognitive Search

Others - API lifecycle management, proxies

PROFESSIONAL EXPERIENCE:

Hanover Insurance Jan 2025 – Present

Azure DevOps Engineer

Responsibilities:

Spearheaded CI/CD automation in Azure DevOps using YAML pipelines, reducing release time by 40% while ensuring quality deployments across cloud environments with staged approvals and gated releases.

Created and managed ARM and Bicep templates for deploying scalable Azure resources such as App Services and SQL databases with repeatable, policy-compliant infrastructure-as-code practices.

Integrated Azure Monitor, Log Analytics, and Application Insights for real-time diagnostics, health checks, metric alerts, and performance dashboards supporting production cloud observability and root cause analysis.

Designed zero-downtime deployments using blue-green strategy for web applications hosted in Azure App Services, minimizing risk and enabling seamless rollbacks through deployment slots and traffic routing.

Deployed microservices in Azure Kubernetes Service (AKS) using Helm charts and pipeline integration, enabling dynamic scaling, secure configuration management, and cloud-native orchestration with network policies.

Managed Azure Active Directory roles with RBAC and Privileged Identity Management (PIM), enforcing least-privilege access, conditional access policies, and automated role assignments for DevOps pipelines.

Configured Azure API Management and Application Gateway with custom routing rules, WAF policies, and OAuth authentication to protect internal APIs and securely expose services externally, ensuring security compliance.

Applied Azure Policies, tags, and locks across resource groups to enforce cost control, auditing, naming standards, and production safeguards aligned with enterprise governance frameworks, improving operational management.

Embedded SonarQube into Azure DevOps build pipelines for static code analysis, providing real-time feedback on code vulnerabilities and technical debt, enhancing code review and quality assurance processes.

Utilized Azure Key Vault to securely manage and rotate secrets, integrating directly with pipelines and automation tasks to prevent hardcoded credentials and unauthorized configuration access, ensuring security best practices.

TJX Companies May 2024 – Dec 2024

AWS DevOps Engineer

Responsibilities:

Built AWS CodePipeline workflows integrating CodeBuild, CodeCommit, and CodeDeploy for CI/CD automation, enabling fast and reliable application delivery to EC2 and ECS environments with approval stages.

Used Terraform modules to provision AWS infrastructure including VPCs, subnets, IAM policies, and security groups, promoting reusable, auditable infrastructure-as-code practices aligned with DevSecOps standards.

Configured Auto Scaling Groups and Elastic Load Balancers to ensure high availability, fault tolerance, and application resilience during varying traffic loads, meeting 99.99% system uptime objectives.

Developed AWS Lambda automation for S3 lifecycle cleanup, log rotation, EBS snapshot verification, and triggered CloudWatch Events to support compliance and operational efficiency across multiple accounts.

Deployed centralized observability with CloudWatch Logs, AWS X-Ray, and ELK Stack to visualize system health, capture distributed traces, and debug microservices across ECS and Lambda workloads.

Automated Docker builds and pushed images to Amazon ECR, integrating with ECS and Fargate for secure, scalable containerized microservices with blue-green deployments and rollback strategies.

Managed S3-hosted frontend deployments using CloudFront with HTTPS, caching policies, and origin failover, ensuring low-latency content delivery and secure access to global web applications.

Enforced encryption and auditing across AWS resources using KMS, CloudTrail, and config rules, achieving security compliance with PCI-DSS, ISO 27001, and internal audit standards.

Utilized Secrets Manager and Parameter Store for securely injecting credentials into ECS and Lambda services, supporting automated rotation and environment-specific configuration management, adhering to security principles.

Implemented IAM policy boundaries, SCPs, and Access Analyzer to enforce least-privilege access across AWS accounts, minimizing risk and improving compliance with internal cloud governance standards, enhancing security.

HCL Technologies Jun 2020 – Aug 2023

DevOps Engineer

Responsibilities:

Designed Jenkins-based CI/CD pipelines for deploying Java and Python applications to AWS EC2 and ECS environments, streamlining code integration, testing, and release processes across multiple teams.

Used Ansible playbooks to manage configuration drift, enforce consistency across QA, staging, and production environments, and automate patch management and middleware deployments on AWS instances.

Wrote Bash and Python scripts to automate log rotation, patching, monitoring, and alert notifications, improving system reliability and reducing manual maintenance efforts across cloud infrastructure.

Managed S3 buckets with encryption and lifecycle policies, configuring bucket access controls and object versioning to support compliance, long-term retention, and cost optimization initiatives.

Integrated GitLab CI with Docker to build and deploy containers across AWS environments, enabling rapid application delivery through automated pipeline workflows and container registry integration.

Configured Route 53 for DNS management, health checks, and automated failover routing between multiple availability zones, ensuring high availability and low-latency access to cloud-hosted services.

Deployed and tuned ElasticSearch and Logstash clusters for centralized log aggregation and full-text search capabilities, aiding incident response and audit tracking across distributed applications.

Performed AWS cost optimization by resizing EC2 instances, right-sizing RDS databases, and identifying unused volumes using AWS Trusted Advisor and Cost Explorer recommendations.

Built and applied AWS tagging strategies to categorize cloud resources by environment, project, and owner, enhancing cost reporting, access control, and automation across multiple accounts.

Implemented monitoring and alerting solutions using CloudWatch, Prometheus, and Grafana to proactively identify and resolve system issues, ensuring high availability and optimal performance of cloud infrastructure.

Educational Details:

Master of Science – Computer Science - Rivier university, New Hampshire

Bachelor of Technology – Computer Science - KL University, India



Contact this candidate