Prabhakar Agre
Open to work2 years experienceCloud & DevOps Engineer
Cloud & DevOps Engineer | AWS · Azure · GCP | Terraform · Docker · Kubernetes · CI/CD
Standing Rank
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Developer Badges
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Skills & Technologies
21 skillsWork Experience
Cloud & DevOps Engineer
Hirisha Logistics Private Limited
- Provisioned and managed multi-cloud infrastructure across AWS and Azure using Terraform, standardizing 15+ environments across dev, staging, and production and eliminating manual configuration drift that previously caused ~3-4 environment-mismatch incidents per month.
- Built CI/CD pipelines using Jenkins and Azure DevOps that automated build, test, and deployment stages — cutting release cycle time from 2 days to under 4 hours (~75% faster) and reducing deployment-related incidents by 40%.
- Containerized 6+ legacy logistics applications using Docker and orchestrated deployments via Kubernetes using a rolling update strategy (maxSurge/maxUnavailable tuned per service), achieving zero-downtime releases and improving scalability to handle 2x peak traffic while reducing infrastructure costs by ~20%.
- Implemented Grafana and CloudWatch dashboards tracking 25+ metrics for real-time monitoring of system health, cutting mean time to detect (MTTD) incidents from ~45 minutes to under 10 minutes.
- Administered 20+ Linux-based servers and hardened IAM policies across cloud accounts, closing 100% of high-priority findings during infrastructure security audits with zero repeat findings the following cycle.
Manager – Operations & Finance
Rahul Group of Companies
- Led daily plant operations spanning banking, accounting, and audit coordination, managing vendor relationships and cross-team execution under strict compliance deadlines.
- Self-directed a full career transition into cloud & DevOps engineering from 2022–2024: earned AWS and Azure certifications and completed four hands-on multi-cloud projects while continuing full-time operations responsibilities.
Projects
Airtel Bidding Portal
- Architected and deployed a high-availability bidding/tender management portal for Airtel, containerizing frontend and backend services with Docker and orchestrating them on Azure Kubernetes Service (AKS) across dev, staging, and production.
- Provisioned all Azure infrastructure — AKS clusters, VNETs, Azure Container Registry, Application Gateway, and Key Vault — using reusable Terraform modules, cutting environment provisioning time from days to under 2 hours.
- Built end-to-end CI/CD pipelines in Azure DevOps automating build, test, image scanning, and rolling deployments to AKS, cutting release cycle time by ~70% and enabling multiple zero-downtime deployments per week.
- Configured Horizontal Pod Autoscaler and cluster autoscaling to absorb traffic spikes during high-value tender windows, maintaining 99.9% uptime through peak bidding events.
- Owned SRE responsibilities for the platform: defined SLIs/SLOs for API latency and availability, built Azure Monitor and Log Analytics dashboards with alerting tied to error budgets, and led on-call incident response — cutting mean time to resolution (MTTR) by ~50%.
Dalmia Bidding Portal
- Delivered a containerized tender/bidding management platform for Dalmia across Azure and GCP, packaging services with Docker and deploying core workloads on AKS and GKE with namespace-based isolation across environments.
- Built serverless components on GCP Cloud Run and Cloud Functions for event-driven workflows (bid document processing, notifications, and scheduled data sync), cutting idle compute cost by ~30% versus always-on services.
- Used GCS buckets for durable storage of bid documents and historical tender data, with lifecycle policies to manage storage costs across hot and archival tiers.
- Designed GitLab CI/CD pipelines with automated testing, security (SAST) scanning, and staged rolling deployments to both AKS and GKE, reducing failed deployments and enabling safe, frequent releases.
- Used Terraform to provision and manage infrastructure across Azure and GCP (AKS/GKE, networking, storage, Key Vault/IAM) across dev/staging/prod, enforcing plan/apply approval gates and automated drift detection to eliminate configuration inconsistencies.
- Acted as SRE for the platform: established error budgets and on-call rotations, ran blameless postmortems after incidents, and implemented a backup/disaster-recovery strategy across cloud providers meeting defined RTO/RPO targets — cutting recurring incidents by ~40%.
- Built centralized observability (Azure Monitor + Grafana) covering CPU, memory, pod health, and request latency across both clusters, improving mean time to detect (MTTD) incidents by over 60%.
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
AWS Certified Solutions Architect – Associate
AWS Certified Solutions Architect – Associate
Microsoft Certified: Azure Administrator Associate (AZ-104)
Microsoft Certified: Azure Administrator Associate (AZ-104)
About Details
Professional Bio
Cloud & DevOps Engineer with 2+ years of hands-on experience across AWS, Azure, and GCP. Specializes in Terraform-driven infrastructure as code, containerized deployments on Kubernetes, and end-to-end CI/CD pipeline ownership. AWS and Azure certified with a track record of optimizing performance.
Bachelor Of Engineering in Mechanical Engineering
Wainganga College of Engineering and Management, Nagpur (2012 - 2016)