HARSHITHA KONDA
Utica, NY (Open to Relocate) +1-315-***-**** *.**************@*****.*** Portfolio PROFESSIONAL SUMMARY
Cloud & DevOps Engineer with Hands - on experience building and automating infrastructure across AWS, Azure and GCP environments. Worked with Terraform, GitHub Actions, Jenkins, Docker and Kubernetes (EKS/AKS) to deploy scalable workloads, manage CI/CD release pipelines and improve provisioning speed by ~40%. Hands-on with monitoring and reliability practices using CloudWatch, Prometheus and Grafana, implementing dashboards and alert rules that reduced incident response times by ~30%. Focused on improving delivery efficiency, infrastructure consistency and platform resilience through IaC, automation and observability, with readiness to support production-grade DevOps and SRE workflows.
TECHNICAL SKILLS
Cloud Platforms: AWS (EC2, VPC, IAM, S3, RDS, EKS, CloudWatch, Auto Scaling, Load Balancers), Azure (VMs, VNets, AKS, Storage, Monitor), GCP (Compute Engine, IAM, VPC)
Infrastructure as Code (IaC): Terraform, AWS CloudFormation, ARM Templates DevOps & Automation: GitHub Actions, Jenkins, Python, Bash, PowerShell, YAML, Ansible (config automation) Containers & Orchestration: Docker, Kubernetes (EKS/AKS), Helm, Ingress, HPA, Pod/Node Troubleshooting, Rolling Deployments Monitoring & Observability: CloudWatch, Prometheus, Grafana, Azure Monitor, Alertmanager Security & Access Management: IAM, RBAC, MFA/SSO, Secrets Manager, Key Vault, Policy Enforcement & Hardening Systems & Linux: Linux Administration (systemd, journald logs, permissions, SSH), Patch/Update Automation Networking & Load Balancing: VPC/VNet Peering, Subnets, VPN, NAT Gateway, Routing, DNS/Route 53, Firewall Rules Version Control & Collaboration: Git, GitHub, Bitbucket, Jira, Confluence PROFESSIONAL EXPERIENCE
Cloud Engineer Aug 2021 - Jan 2023
Wipro Pvt Ltd Hyderabad, India
• Automated provisioning of Azure VMs, VNets, Load Balancers and GCP Compute resources using Terraform, PowerShell and Python, standardizing environment builds and reducing provisioning effort by ~40%.
• Worked with security and application teams to configure Azure AD MFA, RBAC and GCP IAM roles, improving identity control and raising security compliance by ~25% during internal audits.
• Built CI/CD pipelines using Jenkins and GitHub Actions with automated build, testing and deployment steps which shortened release cycles and lowered manual deployment effort by ~30%.
• Integrated CloudWatch, Azure Monitor and GCP Cloud Logging for dashboards and alerts that allowed faster incident identification and reduced P1 response time by nearly 30% for operations teams.
• Managed microservice deployments in AKS/EKS using Docker, Helm and Ingress, troubleshooting pod/node issues to maintain workload stability during performance spikes.
• Implemented patch automation, scheduled backups and compliance checks with Azure Update Management and GCP Operations Suite, reducing recurring admin workload across environments.
• Designed hybrid and multi-cloud networking using VPC/VNet peering, VPN tunnels, NAT gateways and firewall rules, enabling secure, low-latency connectivity between on-prem and cloud systems.
• Contributed to cost governance by applying autoscaling, tagging policies and resource cleanup automation, lowering idle cloud spend and improving overall resource utilization efficiency. PROJECTS
AWS DevOps Infrastructure Automation
• Built AWS infrastructure using Terraform modules for EC2, VPC, subnets, RDS, S3 and security groups, making environments reproducible and reducing manual setup time for deployments.
• Created a GitHub Actions pipeline that automated Terraform plan/apply and triggered EKS deployments with Helm, allowing changes to ship without manual intervention and improving delivery speed.
• Connected EKS metrics to CloudWatch, Prometheus and Grafana dashboards, added SLO/SLI thresholds and runbooks, which gave teams better visibility into workloads and improved readiness for incidents. Kubernetes Reliability & Monitoring
• Set up a Kubernetes environment with namespaces, secrets, config-maps, Ingress and rolling updates, making deployments safer during application changes and structuring workloads cleanly.
• Integrated Prometheus exporters, Grafana dashboards and Alertmanager notifications, helping teams observe container performance and respond quickly to spikes or errors.
• Ran controlled failure tests and tuned readiness probes, restart policies and autoscaling rules, reducing recovery time and maintaining workload stability under traffic variation. EDUCATION
Master of Science in Computer Science Jan 2023 - Dec 2024 SUNY Polytechnic Institute New York, USA
Bachelor of Technology in Computer Science Engineering Jun 2017 - May 2021 JNTU Kakinada India
CERTIFICATIONS
• Terraform for Cloud Infrastructure Automation - LinkedIn Learning
• AWS Cloud Solutions Architect - Coursera
• AWS Educate - Basics of AWS
• Microsoft Certified - DP-900: Azure Data Fundamentals
• GCP Associate Cloud Engineer (In-Progress)