Sourabh G Kulkarni
DevOps & Platform Engineer
I build reliabledelivery pipelinesand cloud platforms.
I'm Sourabh Kulkarni, a DevOps engineer focused on building reliable delivery pipelines and cloud platforms. With 4+ years of experience, I specialize in automation, observability, and scaling infrastructure with confidence.
deployment "api" successfully rolled out
DevOps lifecycle: plan · code · build · test · release · monitor
About
Engineering clarity into every layer of the stack.
Making systems simpler, more reliable, and easier to operate.
I focus on reducing operational complexity, tightening feedback loops, and building infrastructure that teams can confidently rely on.
From CI/CD pipelines to cloud platforms, I work on turning everyday operational challenges into structured, repeatable systems that scale.
I approach problems with a “make it repeatable, make it reliable” mindset — whether that’s through Infrastructure-as-Code, better pipeline design, or improving visibility with monitoring.
Experience
Where I've worked
DevOps / Platform Engineer
- 4+ Years of Experience delivering DevOps, Platform Engineering, and Cloud Automation solutions across AWS, Azure, and Hybrid Environments.
- Built and Optimized CI/CD Pipelines using GitHub Actions, GitLab CI/CD, Jenkins, and for faster, reliable multi-environment releases.
- Automated infrastructure provisioning using Terraform and Infrastructure-as-Code practices across Dev, UAT, and Production environments.
- Managed containerized workloads using Docker and Kubernetes across AKS, EKS, GKE, and on-prem clusters.
- Designed secure deployment workflows with gated approvals, RBAC controls, and environment-level governance.
- Implemented Databricks Asset Bundles (DAB) to automate Databricks job and workflow deployments, reducing manual release effort.
- Built and operated Internal Developer Platforms using Backstage with Service Catalog, Software Templates, and golden-path scaffolding.
- Integrated Prometheus, Grafana, and Alertmanager for centralized monitoring, observability, and faster incident response.
- Optimized Kubernetes cluster resource utilization, scalability, and availability for production-grade workloads.
- Provisioned and managed cloud infrastructure across EC2, S3, CloudFront, Route53, IAM, EKS, Azure services, and container registries.
- Improved developer productivity by standardizing onboarding, templates, reusable components, and deployment workflows.
- Reduced manual operational effort through automation while increasing deployment reliability and system stability.
Principles
How I learn & build
Automate deliberately
I automate repetitive work with clear runbooks, ownership, and safety checks so teams move faster without hidden fragility.
Measure, then improve
I prioritize with evidence: delivery lead time, reliability signals, and cloud-cost trends decide what gets improved first.
Ship in slices
I break large goals into small, reversible releases with rollback paths, so progress stays steady and risk remains controlled.
How I ship
The delivery pipeline
Code Push
feat/k8s-autoscaler
Build
Docker · image ready
Test
128 passed · 0 failed
Deploy
k8s prod · rolling update
Monitor
Prometheus · all green
Contact
Let's build something reliable together.
Available for DevOps, platform engineering, and infrastructure roles. Fill in the form and I'll get back to you.