Hemanth Reddy

Results-driven DevOps / DevSecOps Engineer with 5+ years of experience driving DevOps maturity by automating builds, regression testing, monitoring, and pushing releases across environments. Deep expertise in Kubernetes, ArgoCD, Helm, Prometheus, Grafana, and Python across AWS and Azure cloud platforms. Proven track record designing and implementing enterprise cloud-native, microservices-based hosting solutions with robust CI/CD pipelines using Jenkins, GitLab Runners, GitHub Actions, Terraform, Terragrunt, and Pulumi.

Adept at troubleshooting and resolving pipeline failures, championing DevOps adoption across organizations, and collaborating with application development teams throughout the full software development life cycle.

Senior DevOps Engineer - UPS - New Jersey, United States

(2024-05)

• Architected and maintained enterprise CI/CD pipelines using Jenkins, GitLab CI/CD, and Docker Swarm, integrating automated builds, regression testing suites, and deployment gates that reduced production deployment failures by 40% and decreased release cycle time.
• Worked with Kubernetes autoscaling concepts and secure secret management integrations in cloud-native environments.
• Designed and implemented AWS cloud-native hosting solutions using EKS, Lambda, CloudFormation, and Terraform, supporting fault-tolerant, auto-scaling microservices architectures with failover zones and cloud-based backup/recovery strategies.
• Developed Python automation scripts to streamline infrastructure provisioning, automated testing workflows, and operational runbooks, directly driving DevOps maturity across the engineering organization.
• Implemented Terraform and Terragrunt modules for reusable, DRY infrastructure-as-code across multiple AWS accounts; enforced branching strategy and GitOps pull-request workflows for all infrastructure changes.
• Leveraged Prometheus and Grafana dashboards for real-time monitoring; triaged and resolved CI/CD pipeline slowness and failures by identifying bottlenecks in build stages and dependency resolution.
• Developed an AI agent using LangChain and Python to automate incident triage and runbook execution, integrating with Grafana alerts and Slack for human-in-the-loop approvals, reducing mean time to resolution (MTTR) for pipeline failures by 35%.
• Built an LLM-powered agentic pipeline using LangGraph and OpenAI APIs to auto-generate Terraform infrastructure summaries and flag configuration drift across multi-account AWS environments, improving compliance review speed and reducing manual audit effort.
• Automated MongoDB and Oracle database migrations to AWS Document DB using AWS DMS, ensuring zero-downtime cutover with comprehensive rollback procedures.
• Managed IAM policies, auto-scaling groups, load balancers (ALB), and VPC networking to minimize oversubscription of AWS services, consistently meeting billing and cost-optimization targets.

DevOps Engineer - Clarivate - Hyderabad, India

(2022-03 - 2023-11)

• Orchestrated containerized microservices on Kubernetes (AKS) using Helm charts and implemented ArgoCD for GitOps-based continuous deployment, enabling declarative, version-controlled application delivery across dev, staging, and production.
• Built and maintained CI/CD pipelines using GitLab Runners and Azure DevOps, automating regression testing and pushing releases across multiple environments for containerized applications.
• Developed Python automation tools and Ansible playbooks to automate Drupal deployments and configuration management, reducing manual operational effort by 60% and improving deployment repeatability.
• Created continuous automation across multiple technical stacks, including OpenShift orchestration and Agile pipeline design using XL Release/Deploy, establishing reusable deployment patterns across teams.
• Improved continuous deployment tooling built on Kubernetes by refining Helm chart templates, reducing chart complexity and deployment errors across 10+ microservices.
• Enhanced monitoring with Prometheus, Grafana, and Nagios for AAD/LDAP-integrated services; triaged and resolved open-source and commercial tool issues in the Azure public cloud environment.
• Led DevOps adoption initiatives, bringing development and QA teams on board with DevOps processes, tools, and roles; conducted workshops to recast manual workflows into automated pipelines.
• Implemented security enhancements including DNS optimization, SQL query analysis, and role-based access controls; conducted security compliance reviews across CI/CD pipeline configurations.

DevOps / Build & Release Engineer - Cisco Systems - Hyderabad, India

(2021-03 - 2022-02)

• Managed multi-team build and release pipelines using Jenkins, Maven, and Git branching strategies (GitFlow), coordinating deployments to UAT, QA, and production with automated regression testing at every stage.
• Developed Python and Bash scripts to automate AWS EC2/S3 infrastructure provisioning via Ansible and Terraform, reducing environment setup time from days to hours.
• Streamlined CI/CD for Drupal environments with Puppet configuration management and integrated Prometheus and New Relic for application performance monitoring and alerting.
• Triaged and resolved CI/CD pipeline failures in Bamboo and Jenkins environments; documented root-cause analyses and implemented preventive measures to reduce repeat incidents.
• Developed automated testing frameworks for continuous integration; maintained build infrastructure supporting multiple concurrent engineering teams in an Agile environment.
• Conducted security audits including penetration testing and vulnerability assessments, ensuring compliance with organizational security standards for all release environments.

Master of Science - Data Science

Bachelor of Technology - Computer Science