- This role owns infrastructure, reliability, and automation for a real-time data annotation platform. The engineer architects scalable cloud systems, leads Kubernetes and CI/CD strategy, and ensures high availability, security, and disaster recovery for enterprise-grade ML pipelines.

Key Responsibilities at this Role :

- Design highly available, secure cloud infrastructure supporting distributed microservices at scale

- Lead multi-cluster Kubernetes strategy optimized for GPU and multi-tenant workloads

- Implement Infrastructure-as-Code using Terraform across full infrastructure lifecycle

- Optimize Kafka-based data pipelines for throughput, fault tolerance, and low latency

- Deliver zero-downtime CI/CD pipelines using GitOps-driven deployment models

- Establish SRE practices with SLOs, p95 and p99 monitoring, and FinOps discipline

- Ensure production-ready disaster recovery and business continuity testing

Skill : The Expertise Required- All Mandatory :

- 6-10 years DevOps / SRE / Cloud Infrastructure experience

- Should have a product based company experience

- Expert-level Kubernetes (networking, security, scaling, controllers)

- Terraform Infrastructure-as-Code mastery

- Hands-on Kafka production experience

- AWS cloud architecture and networking expertise

- Strong scripting in Python, Go, or Bash

- GitOps and CI/CD tooling experience