Pavan Goshika
Open to work4 years experienceDevOps Engineer
DevOps Engineer at TATA Consultancy Services
Standing Rank
Rank Not Available
Developer Badges
No badges earned yet
Skills & Technologies
15 skillsGitHub Activity Evidence
GitHub Footprint Not Connected
Recruiters value verified code contributions. Linking a GitHub account displays live heatmaps, active contribution metrics, repository languages, and push activity tags.
Work Experience
DevOps Engineer
TATA CONSULTANCY SERVICES
- Designed and implemented automated CI/CD pipelines with Jenkins, Git, Docker, and Kubernetes reducing deployment time by 30%.
- Containerized microservices and deployed them on AWS Kubernetes clusters using Argo CD for GitOps.
- Integrated SonarQube and Trivy scans into pipelines, ensuring code quality and security compliance.
- Managed Kubernetes clusters (Prod: 3 masters, 10–20 workers), configuring HPA, ALBs, ingress controllers, RBAC, and namespace isolation.
- Automated infrastructure provisioning with Terraform and configuration management with Ansible.
- Automated SAP application lifecycle using AWS Lambda, Systems Manager, and Step Functions.
- Implemented observability with Prometheus, Grafana, and CloudWatch, reducing MTTR by 40%.
- Developed backup and disaster recovery strategies with tested restore procedures.
- Coordinated with development teams via Agile ceremonies to ensure smooth release cycles.
Projects
Takenaka Corporation
- Built cloud-native infrastructure on AWS to support mission-critical construction management applications.
- Designed CI/CD pipelines using Jenkins, Docker, and Kubernetes (EKS), reducing deployment time by 30%.
- Provisioned AWS infrastructure using Terraform and automated configuration management with Ansible.
- Automated SAP workflows using AWS Lambda and Step Functions, reducing manual operational effort.
- Deployed and managed containerized microservices on Amazon EKS using Kubernetes Deployments, Services, ConfigMaps, Secrets, and Ingress.
- Integrated SonarQube, Trivy, and OWASP Dependency Check into Jenkins CI/CD pipelines to improve code quality and security compliance.
- Configured Argo CD for GitOps-based continuous deployment, enabling automated and reliable Kubernetes application deployments.
- Optimized Kubernetes clusters using Horizontal Pod Autoscaler (HPA), Role-Based Access Control (RBAC), and Kubernetes Secrets to improve scalability and security.
- Implemented blue-green and canary deployment strategies to achieve zero-downtime application releases.
- Automated operational tasks using Python and Bash scripts, improving deployment efficiency and reducing manual effort.
- Collaborated with development and QA teams to troubleshoot production issues, perform root cause analysis (RCA), and ensure high availability of microservices running on Amazon EKS.
Proximus
- Managed infrastructure for a monolithic application on AWS using Terraform, provisioning VPC, EC2, Security Groups, IAM, and Application Load Balancer (ALB).
- Stored Terraform state securely in Amazon S3 with DynamoDB state locking, preventing state conflicts and ensuring safe infrastructure updates.
- Built and maintained Jenkins CI/CD pipelines for automated build, test, and deployment to Linux servers.
- Automated application configuration, package installation, patching, and service management using Ansible Playbooks across multiple environments.
- Integrated Slack notifications into Jenkins pipelines for real-time deployment status, build success, and failure alerts.
- Configured Splunk to collect and analyse application logs, server logs, and Jenkins build logs for monitoring and troubleshooting.
- Performed Jenkins pipeline debugging, credential management, and plugin configuration to ensure reliable CI/CD workflows.
- Collaborated with Development and Operations teams to resolve deployment issues, support release planning, and improve delivery efficiency.
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
Deployment Efficiency Improvement
Reduced deployment time by 30% through automated CI/CD pipelines.
MTTR Reduction
Reduced MTTR by 40% through implementation of observability tools.
About Details
Professional Bio
DevOps Engineer with experience in designing automated CI/CD pipelines, containerization, and cloud infrastructure management on AWS. Skilled in Terraform, Kubernetes, and monitoring tools to optimize deployment efficiency and system reliability.
B.Tech in Electrical and Electronics Engineering
Avanthi's Scientific Technological Research Academy (2017 - 2020)