About the Role We're a fast-moving startup building a high-traffic communication product and production-grade ML models. We're looking for a language-agnostic DevOps Lead to take complete ownership of our infrastructure from scratch — cloud environments, secure architectures, CI/CD, observability, and developer tooling that backend and ML engineers rely on daily. Responsibilities

Architect, provision, and scale cloud infrastructure across GCP/AWS/Azure for both web backends and compute-intensive ML workloads

Establish cloud accounts from scratch with strict IAM policies, RBAC, and secure networking (VPCs, subnets, peering)

Build robust, language-agnostic CI/CD pipelines using GitHub Actions, Jenkins, or GitLab CI for safe multi-environment deployments

Containerize and orchestrate applications using Docker, Kubernetes, and Helm

Deploy and manage Matrix homeserver infrastructure (Synapse/Dendrite) including federation, workers, and database setup

Build observability from a blank slate — monitoring, logging, alerting using Prometheus, Grafana, ELK, or Datadog

Instrument applications for deep insights into API performance, system health, and ML model inference metrics

Manage infrastructure as code with Terraform or Pulumi — version-controlled, repeatable,



cloud-agnostic

Collaborate with software engineers and ML researchers to remove deployment bottlenecks and maintain developer velocity Requirements

8+ years in DevOps, SRE, or Cloud Infrastructure with holistic infrastructure ownership

Language-agnostic — comfortable navigating Python, Go, Node.js, Java codebases for tooling and instrumentation

Deep hands-on experience with Kubernetes, Docker, and Helm in production

Solid IaC proficiency (Terraform or Pulumi)

Extensive CI/CD pipeline experience (GitHub Actions, Jenkins, GitLab CI)

Security-first mindset — cloud networking, IAM/RBAC, secrets management

Proven ability to build monitoring/logging stacks from scratch

Builder's mentality — comfortable starting with a blank canvas and making authoritative architectural decisions Nice to Have

Experience with MLOps — GPU provisioning, model registry integration, inference pipeline deployment

Familiarity with Matrix protocol infrastructure (Synapse/Dendrite federation and worker architectures)

Experience with MongoDB, PostgreSQL, Neo4j, and Redis in cloud environments

Frontend deployment experience (CDN, static hosting, SSR)

📌 Founding DevOps / Infrastructure Lead (India)
🏢 Yal
📍 India