not actively looking · Pune, India

Sourabh PatilPlatform & DevOps Engineer

Platform & DevOps engineer with 9+ years spanning Big Data engineering, cloud-native infrastructure, and enterprise product delivery. Specialises in designing and operating production-grade Kubernetes platforms, multi-cloud architectures, and end-to-end CI/CD pipelines. Brings equal depth to backend engineering and agile ceremonies — from PI planning and epic design through to story creation and delivery.

9+ years experience

Skills

SDLC CI/CD Docker Kubernetes IaC Monitoring Scripting Agile Backend Multi-cloud Helm ArgoCD Flux CD Kustomize Crossplane Rancher Terraform AWS GCP Azure AKS GKE EKS GitHub Actions Jenkins Bamboo GitOps Artifact Management Grafana Prometheus Loki AlertManager OpenTelemetry Keycloak / OIDC Vault OAuth2 / JWT SAML mTLS RBAC Secret Management Hadoop Apache Spark ETL Pipelines Data Warehousing Apache Kafka Java / Spring Boot Python Bash SQL REST APIs Microservices SAFe / PI Planning Epic & Story Design

Experience

current

T-Systems ICT India Pvt. Ltd.

Consultant — DevOps, Cloud & Platform Engineering

Mar 2023 — Present

End-to-end platform engineering across DevOps, cloud, and agile delivery. Leading infrastructure automation, identity and auth systems (Keycloak, EDC/Tractus-X), Kubernetes-based platform operations, and product engineering ceremonies including PI planning, epic design, and story creation.

Globant India Pvt. Ltd.

Senior DevOps Engineer

Aug 2022 — Feb 2023

DevOps and infrastructure support for a Contact Centre product. Led a bare-metal to AWS lift-and-shift migration, delivering production-grade cloud infrastructure from on-premises foundations.

Larsen & Toubro Infotech (LTIMINDTREE)

Senior Product Engineer

Oct 2021 — Aug 2022

Big Data product engineering with a DevOps lead role across multi-cloud environments. Drove infrastructure automation and platform reliability for large-scale data pipelines.

Optratec Technologies Private Limited

Big Data Engineer

Aug 2017 — Oct 2021

Built and operated production Big Data infrastructure — Hadoop and Spark clusters on Kubernetes, ETL pipelines, and data warehouses across on-premises and cloud environments.

Projects

Projects coming soon // private repos — will be listed here shortly

Contact