Guruprasad Fagare
Devops EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Devops Engineer with 2+ years in Cloud-native Infrastructure and CI/CD pipelines
Results-driven DevOps Engineer with 3 years of hands-on experience designing, automating, and operating cloud-native infrastructure across AWS and Azure at scale. Proven track record of reducing deployment times by 40%+ through robust CI/CD pipelines, cutting incident response time through proactive monitoring, and delivering zero-downtime production deployments serving thousands of users. Deep expertise in Kubernetes (EKS), Terraform IaC, and container-based architectures. Holds both AWS Solutions Architect and Azure Administrator Associate certifications.
Savitribai Phule Pune University
Bachelor of Engineering · Information Technology
N/A – June 30, 2024
Technopath
DevOps Engineer
July 1, 2023 – Present
Pune, Maharashtra, India
Automated Multi-Environment Deployment Pipeline
June 1, 2026 – Present
Designed and delivered a production-grade DevOps platform on AWS enabling fully automated, reproducible deployments across dev, staging, and production environments. Reduced release cycle from 3 hours of manual work to a fully automated 25-minute pipeline. Built modular Terraform configuration covering VPC, public/private subnets, EC2 Auto Scaling Groups, EKS cluster, IAM roles, and security groups—all with S3 + DynamoDB remote state for team collaboration and drift detection. Deployed containerized microservices to EKS managing Deployments, Services, ConfigMaps, Ingress, and HPA. Implemented Helm-style templating for environment-specific value overrides. Built 8-stage Jenkins pipeline (checkout → test → Docker build → ECR push → Terraform plan/apply → Ansible configure → K8s deploy → smoke test) with automatic rollback on failure. Integrated Prometheus scraping + Grafana dashboards with CPU, pod restart, and request latency alerts. Configured PagerDuty-style alerting for production threshold breaches.
Fully Automated Serverless Container Pipeline
June 1, 2026 – Present
Built a zero-touch serverless deployment platform on AWS ECS Fargate using GitHub Actions and Terraform, eliminating the need to manage EC2 instances and cutting infrastructure costs by removing idle server overhead. Provisioned ECS Fargate clusters, VPC/subnets, ALB, ECR, CloudWatch log groups, and IAM roles via Terraform with full remote state management - enabling environment teardown and recreation in under 8 minutes. Implemented OIDC-based GitHub → AWS authentication (no long-lived credentials). Pipeline runs unit tests, builds multi-stage Docker images, scans for CVEs, pushes to ECR, applies Terraform, and validates post-deployment health. Mapped main → production and dev → staging with automatic environment promotion. Feature branches trigger ephemeral test environments that self-destruct on merge. Wrote Python (boto3) scripts for ECS task validation, CloudWatch log parsing, API health checks, performance benchmarking, and automated rollback on deployment.
Zero-Downtime Deployment System
June 1, 2026 – Present
Implemented a blue/green-style zero-downtime deployment workflow on AWS using CloudFormation, Ansible, and Jenkins achieving some minutes of user-facing downtime across 20+ production releases for a team of 5 developers. Authored nested CloudFormation stacks for full environment replication (dev/stage/prod) covering VPC, NAT, EC2 ASGs, ALB, ECR, CloudWatch, IAM, and SNS - fully parameterized for environment-specific configs. Developed idempotent Ansible playbooks for Docker container deployment and rolling updates behind ALB, with pre/post health checks ensuring zero dropped connections during updates. Built optimized multi-stage Docker images, implementing security best practices, scanning for vulnerabilities, and pushing versioned images to Amazon ECR. Built Jenkins pipeline with automatic rollback logic using Python boto3 if post-deployment health checks fail, the previous container version is automatically redeployed within 2 minutes.
AWS Solutions Architect
AWS
June 1, 2026 – Present
Azure Administrator Associate
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple cloud platforms (AWS, Azure) and diverse tools (Jenkins, GitHub Actions, Terraform, Ansible, Kubernetes, Docker, Prometheus, Grafana) indicates adaptability and a broad technical curiosity. Their project work shows a strong bias towards automation, efficiency, and reliability, which are key aspects of a high-performing DevOps culture. The focus on reducing manual intervention and improving release confidence suggests a proactive and improvement-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through incident management and RCA, and a proactive approach to reducing recurring incidents. Their experience in cross-team collaboration to define deployment standards and integrate security scanning indicates good teamwork and communication. The focus on automation and efficiency improvements (reducing deployment times, cutting infrastructure costs) aligns well with operational excellence.