Atul Vyas
@atulvyas
I build resilient multi-cloud platforms, automated delivery pipelines, and reliable Kubernetes operations.
What I'm looking for
At Webkorps Services India, I architect multi-cloud AWS and Azure environments that deliver 99.99% availability for critical microservices. I build GitHub Actions and Jenkins pipelines with GitOps and zero-downtime canary releases, reducing deployment time by 40%.
I orchestrate enterprise Kubernetes on EKS with Helm and ArgoCD, automate infrastructure through Terraform and CloudFormation, and build observability practices with Prometheus, Grafana, and ELK. My FinOps work reduced monthly infrastructure spend by 25%, while DevSecOps controls using SonarQube, Trivy, and Zero Trust maintained SOC2 and GDPR compliance.
Previously at Techavis and Cognizant Technology Solutions, I built event-driven AWS systems, automated deployments with Python and Bash, supported cloud migrations, and led incident response for high-scale services. I also mentor engineering teams on platform strategy, self-service tooling, and DevOps culture.
Experience
Work history, roles, and key accomplishments
Senior DevOps Engineer
Webkorps Services India Pvt. Ltd.
Jun 2023 - Present (3 years 2 months)
Architected highly scalable multi-cloud environments on AWS and Azure, achieving 99.99% availability. Engineered CI/CD pipelines with GitHub Actions and Jenkins, reducing deployment times by 40%.
DevOps Engineer
Techavis
Jun 2021 - May 2023 (1 year 11 months)
Designed event-driven architectures using AWS Lambda, SNS/SQS, and API Gateway, processing over 1M+ daily events. Managed containerized workloads and secure network architectures.
Programmed deployment and configuration tasks using Python and Bash scripting, accelerating release cycles by 15%. Collaborated within Agile/Scrum teams to support enterprise-scale systems.
Education
Degrees, certifications, and relevant coursework
Bachelor of Technology (B.Tech) – Computer Science & Engineering
Bachelor of Technology, Computer Science & Engineering
Bachelor of Technology in Computer Science and Engineering, completed in 2018.
Tech stack
Software and tools used professionally
Splunk
GitHub
GitLab
Bitbucket
SonarQube
Kubernetes
Kubecost
Jenkins
CircleCI
GitHub Actions
GitLab CI
Bitbucket Pipelines
MySQL
PostgreSQL
MongoDB
Memcached
Node.js
Redis
Terraform
Azure DevOps
Jira
JSON
PowerShell
Kafka
RabbitMQ
Istio
Grafana
Prometheus
OpenTelemetry
Linux
New Relic
Datadog
Checkmarx
Ansible
AWS Lambda
SQL
Trivy
Linkerd
ArgoCD
Bicep
Bash
Availability
Location
Authorized to work in
Job categories
Skills
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