Looking for a job

Shriharsh Gaikwad

@shriharshgaikwad

Senior DevOps Engineer crafting automated, high-availability cloud platforms across AWS, Azure, and GCP, with Kubernetes and IaC.

India

Message

What I'm looking for

I’m looking for a hybrid or onsite international role where I can lead DevOps/SRE and MLOps work—building Kubernetes, CI/CD, and observability that reduce deployment time and improve reliability.

I’m a Senior DevOps Engineer with 4.5+ years of experience designing, automating, and operating production-grade cloud platforms across Azure, AWS, and GCP. I focus on cloud DevOps, CI/CD automation, Kubernetes, and infrastructure as code to deliver reliable systems at scale.

I’ve architected and scaled Kubernetes clusters supporting production workloads with 99.9% availability, using Terraform and Ansible to cut manual provisioning errors by 60%. I’ve reduced deployment time by 40%, optimized cloud costs by 35–40%, and improved reliability through observability, automation, and SRE practices like proactive issue detection.

I also build MLOps pipelines with MLflow and Kubeflow, deploy ML workloads on Kubernetes, and support AI/ML production systems. I collaborate with development, QA, and security teams to enforce DevSecOps and compliance standards, and I’m open to hybrid or onsite international roles.

Experience

Work history, roles, and key accomplishments

Current

Senior DevOps Engineer

Current

NimbleWork

Oct 2025 - Present (7 months)

Architected and scaled Kubernetes clusters (GKE/EKS) for production workloads with 99.9% availability. Implemented Terraform-based IaC, reduced provisioning errors by 60%, and improved observability to enable proactive issue detection and 20% lower downtime.

Kubernetes GKE EKS Terraform GitOps Prometheus Grafana Cloudwatch Observability

DevOps Engineer

Edmo, ISchoolConnect

Jun 2025 - Aug 2025 (2 months)

Maintained CI/CD pipelines (Jenkins, GitLab CI) that reduced the deployment cycle by 40% across AWS and GCP environments. Collaborated with Dev/QA/Security to implement shift-left testing and automated compliance checks, and improved Azure DevOps build/test/release workflows by 30% by integrating with GitHub.

Jenkins Gitlab CI Azure DevOps GitHub AWS GCP CI CD Pipelines

DevOps Engineer

Sparknet Innovations

Jun 2022 - May 2025 (2 years 11 months)

Deployed and scaled Kubernetes workloads (GKE, Helm, Istio), achieving 40% cost savings through auto-scaling policies. Automated CI/CD (Jenkins, GitLab CI, Cloud Build) to improve release frequency by 45% and reduced MTTR by 35% with Azure Monitor, Log Analytics, and Application Insights.