Yash Walke
@yashwalke
Platform & Infrastructure Engineer (Designation: Python Developer) at Living Things (IIT-Bombay Incubated Startup)
Mumbai, Maharashtra, India
DevOps and Platform Engineer with 3+ years building production-grade Kubernetes infrastructure at scale. Engineered the server-side control plane for a 5,000+ node fleet sustaining 9,000+ RPM real-time telemetry ingestion and remote OTA orchestration. Hands-on across EKS/GKE/AKS, GitOps (ArgoCD), Infrastructure as Code (Pulumi, Terraform), CI/CD pipelines (GitLab CI), and full-stack observability (Prometheus, Grafana, Loki). M.Sc. Computer Science, 9.83 CGPA.
Experience
Platform & Infrastructure Engineer (Designation: Python Developer)
Living Things (IIT-Bombay Incubated Startup)
Infrastructure Modernization: Delivered a full VM-to-Kubernetes migration across Dev, UAT, and Production environments in under 4 weeks, enabling horizontal scalability for a 5,000+ node fleet by implementing ArgoCD for GitOps and Pulumi for IaC — achieving zero configuration drift with RBAC and IAM least-privilege enforcement across all clusters. Fleet Control Plane Engineering: Sustained 9,000+ RPM real-time telemetry ingestion and remote OTA orchestration across a 5,000+ node distributed fleet with continuous high-availability, by engineering the full server-side control plane on Kubernetes (EKS) with end-to-end observability via Prometheus and Grafana. Data Orchestration & Reliability: Migrated ˜90 GB historical and ˜1–2 GB/day incremental data pipelines across 8+ polyglot databases (MongoDB, PostgreSQL, TimescaleDB, Snowflake, Redis, Kafka) with zero data loss and zero downtime, using transactional Python workers with automated rollback protocols. CI/CD & GitOps Standardization: Reduced deployment lead time by ˜60% and eliminated manual provisioning across 25+ codebases serving a 6-engineer team, by building GitLab CI pipelines integrated with Pulumi and authoring the GitOps/I
DevOps Engineer Intern (Designation: Python Developer Intern)
Living Things (IIT-Bombay Incubated Startup)
Authored v1 of the telemetry processing pipeline — replacing fully manual log inspection with automated Python ingestion — and identified the VM bottlenecks that directly shaped the company’s Kubernetes migration strategy, later delivered to production in under 4 weeks.
Education
Mumbai University
M.Sc.
Computer Science
Mumbai University
B.Sc.
Computer Science