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Gaddam Teja

Open to work1 years experience

Junior DevOps Engineer

Kodad, Suryapet, Telangana, INDTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Junior DevOps Engineer with hands-on experience in AWS, Kubernetes, and CI/CD.

GitHub

Standing Rank

Rank Not Available

Developer Badges

No badges earned yet

Skills & Technologies

21 skills
awsterraformcloudformationargocddockerkuberneteshelmgithub actionsjenkinsprometheusgrafanacloudwatchpostgresqlmysqlredispythonbashshelllinuxgitgithub

Work Experience

DevOps Engineer Intern

Athena LMS

Nov 2025 - May 2026 New Delhi
  • Discovered and decommissioned an unused Redis cache that had been billing since August 2025, reducing monthly AWS costs by Rs.1.5L/month (Rs.18L/year) within 2 months of joining — led to a company-wide infrastructure cost optimization audit.
  • Managed multi-tenant SaaS infrastructure serving 1,000+ users on AWS, ensuring tenant isolation, high availability, and scalable architecture using EC2 Auto Scaling Groups, ALB, and Multi-AZ deployments.
  • Designed secure content delivery using Amazon S3 + CloudFront (OAC) with origin access control, reducing latency by 40% and improving content delivery security.
  • Hardened cloud security by auditing 150+ security group rules, closing 25+ unnecessary open ports, and implementing least-privilege firewall policies across 20+ EC2 instances.
  • Monitored production infrastructure using Amazon CloudWatch Metrics & Logs, investigated 15+ production incidents, performed root cause analysis (RCA), and collaborated with developers to reduce mean time to resolution (MTTR).
  • Implemented JWT authentication and RBAC authorization across dev, staging, and production environments, ensuring secure tenant-aware access controls for 1,000+ users.
  • Maintained infrastructure documentation, deployment runbooks, troubleshooting guides, and architecture diagrams to support consistent deployments and operational support.

DevOps Engineer Intern

Eastri

May 2025 - Oct 2025 Mumbai (Remote)
  • Provisioned AWS infrastructure using reusable Terraform modules (EC2, VPC, Security Groups, S3) with variables, outputs, and remote state, reducing infrastructure provisioning time from 2 hours to 15 minutes across dev, staging, and production.
  • Troubleshot production Kubernetes workloads, networking issues, and container failures using logs, metrics, and Linux utilities, reducing downtime by 25% and improving service reliability.
  • Managed Kubernetes microservice deployments using YAML manifests, Deployments, Services, ConfigMaps, Secrets, Ingress Controllers, and Horizontal Pod Autoscalers across production clusters, achieving 99.9% availability.

Projects

Infrastructure Automation with Terraform

View Project
TerraformAWSS3DynamoDB
  • Provisioned production-grade AWS infrastructure (EC2, VPC, Security Groups, S3, RDS) using reusable Terraform modules with variables, outputs, and remote state management. Reduced provisioning time from 45 to 10 minutes using Terraform workspaces for dev/staging/prod environments.

GitHub Actions CI/CD Pipeline

View Project
GitHub ActionsDockerFlaskAWS ECR
  • Built an automated CI/CD pipeline using GitHub Actions with reusable workflows — automated Docker builds, smoke testing, health checks, and deployment to AWS ECS/EC2 on every push. Reduced deployment time from 15 to 3 minutes using Docker layer caching and parallel job execution.

Monitoring Stack with Prometheus & Grafana

View Project
PrometheusGrafanaDockerFlask
  • Instrumented a Flask application with custom Prometheus metrics (request counters, latency histograms) and deployed auto-provisioned Grafana dashboards visualizing request rate, p95 latency, error rate, and host CPU/memory usage via Node Exporter. Containerized the stack using Docker Compose with Prometheus alerting rules.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Infrastructure Cost Optimization

Discovered and decommissioned an unused Redis cache, reducing monthly AWS costs by Rs.1.5L/month.

About Details

Professional Bio

Junior DevOps Engineer with 14 months of internship experience in AWS, Kubernetes, and CI/CD. Skilled in managing multi-tenant SaaS infrastructure, automating deployments with Terraform, and monitoring with Prometheus/Grafana. Seeking an entry-level DevOps/Cloud role to optimize infrastructure.

B.Tech in CSE (AI & ML Specialization) in CSE (AI & ML Specialization)

Sir Padampat Singhania University (2021 - 2026)

Languages: English, Hindi
Gaddam Teja - Profile | Swiftcruit