Arnav Jose

I’m an Infrastructure and Platform Engineer with a proven track record of managing high-concurrency infrastructure for India’s leading e-commerce platform. I specialize in high-impact Developer Platforms, LLM-driven automation, and Cloud Cost Optimization, with a clear focus on reliability and measurable outcomes.

At Meesho, I built an ML-Driven FinOps Platform—an automated cost-recommendation engine that optimized CPU/Memory requests across microservices. By validating recommendations via a high-fidelity simulator (KWOK), I drove $220,000/month in verified savings while preventing any increase in resource starvation events like CPU throttling or OOM.

I also improved resilience and operational efficiency by architecting self-service Chaos Orchestration, reducing MTTR by 25% through automated fault-injection drills that strengthened observability and reduced incidents. In addition, I engineered an AI-powered on-call assistant using Large Language Models to automate runbook suggestions and ticket routing, cutting manual on-call overhead by 40% and integrating seamlessly with Jira/Slack.

Earlier at Infoworks, I designed and implemented a full-stack observability suite (Tracing/Logging/Monitoring) for a GenAI SaaS product, accelerating root-cause analysis by 90%. I spearheaded migrations from legacy scripts to Terraform and Ansible, built a local-first end-to-end Kubernetes testing environment to reduce cloud-provisioning costs by 40%, and automated cloud storage/compute cleanup in Jenkins to reduce storage usage by 90%—all while keeping the developer experience fast and reliable.