shreyash hire
Open to work2 years experienceDevOps Engineer
DevOps Engineer
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Skills & Technologies
24 skillsGitHub Activity Evidence
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Work Experience
DevOps Engineer
Vibeo AI
- Architected cloud infrastructure powering AI workloads, establishing scalable processing pipelines and highly reliable production services on AWS.
- Redesigned CI/CD pipelines using GitHub Actions, Docker, and ArgoCD (GitOps), reducing deployment time from 40 minutes to under 10 minutes, and eliminating manual deployment bottlenecks across production environments.
- Migrated production workloads from manually managed EC2 instances to EKS with Horizontal Pod Autoscaling and improving platform scalability and reliability.
- Built a centralized observability stack using Prometheus and Grafana, consolidating infrastructure and application monitoring into a single platform.
- Integrated Trivy and SonarQube security scans into CI/CD pipelines, establishing vulnerability checks as part of the deployment lifecycle.
- Designed a highly available AWS architecture with Multi AZ database deployments, automated backups, and disaster recovery workflows, improving service availability.
Operations Engineer
Wobot AI
- Managed production video streaming infrastructure handling 5,000+ camera streams across distributed deployments.
- Managed 100+ Dockerized services supporting large scale video analytics and streaming workloads across distributed edge environments.
- Troubleshot Linux, Docker, networking, and streaming issues across 100+ edge devices, ensuring reliable service delivery.
- Performed RCA for incidents involving Linux, Docker, networking, and video streaming infrastructure, improving service reliability.
- Monitored system and application performance using Grafana, enabling proactive troubleshooting and faster resolution.
DevOps Intern
Wajooba
- Containerized and deployed multiple services using Docker on AWS, standardizing application delivery and reducing environment provisioning time.
- Implemented CloudWatch monitoring, dashboards, and alerting for production services, improving observability and enabling faster detection of infrastructure and application issues.
- Supported Jenkins based CI/CD pipelines and contributed Terraform modules for AWS infrastructure, helping automate cloud resource provisioning and deployment workflows.
Projects
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Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
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About Details
Professional Bio
DevOps Engineer with 2.5+ years of experience building and operating cloud infrastructure on AWS. Experienced in Kubernetes, Terraform, CI/CD automation, observability, and production operations.
B.Tech in Computer Science in Cyber Security
Dy Patil International University ( - 2023)