Platform Engineer - Core Infrastructure

1w1 week ago

100ms

Bengaluru, IN · Full-time · INR 2,500,000 – INR 4,500,000

About this role

100ms operates a real-time Live Video platform powering latency-sensitive, high-concurrency video experiences, and an AI Agents platform automating complex patient access workflows in U.S. healthcare. Both products run on a shared, robust infrastructure foundation. You'll join the central platform team responsible for keeping both running reliably, securely, and at scale.

Own and operate production infrastructure across multiple GKE clusters supporting real-time video workloads and AI agent pipelines, with HA, autoscaling, and full observability. Manage GitOps workflows using Argo CD for automated, version-controlled deployments. Maintain and optimize monitoring and alerting stacks using Open Source tools with product-specific SLOs for video jitter and AI task throughput.

Implement infrastructure as code using Terraform for GCP resources and Helm charts for Kubernetes manifests. Support unique demands of real-time video including media server scaling, WebRTC infrastructure, and low-latency networking. Handle AI agent workloads with LLM inference infrastructure, async task queues, and healthcare system integrations.

Own the security posture of infrastructure by enforcing least-privilege access, managing secrets hygiene, and driving hardening across clusters. Implement compliance-aligned controls like encryption and audit logging for healthcare data. Collaborate with product and engineering teams to embed security early through shift-left practices.

Requirements

Computer Science / Engineering degree or equivalent practical experience
Minimum 3 years of hands-on experience with Kubernetes in a production environment
Strong knowledge of CI/CD pipelines and GitOps workflows using Argo CD or similar tools
Proficient in infrastructure automation using Terraform and Helm
Experience in managing open source monitoring and logging stacks (Prometheus, Loki, Grafana, Alertmanager etc)
Working knowledge of cloud security principles — IAM, network policies, pod security, RBAC, and secrets management
Comfortable with Linux systems, shell scripting, and basic networking including UDP/TCP behaviour relevant to real-time media

Responsibilities

Own and operate production infrastructure across multiple GKE clusters supporting real-time video workloads and AI agent pipelines with HA, autoscaling, and full observability
Manage GitOps workflows using Argo CD for automated, version-controlled, and auditable deployments
Maintain and optimize monitoring and alerting stacks using Open Source Monitoring Tools with product-specific SLOs
Implement infrastructure as code using Terraform for GCP resources and Helm charts for Kubernetes manifests
Support real-time video infrastructure including media server scaling, WebRTC, low-latency networking, and high-throughput data paths
Support AI agent workloads including LLM inference infrastructure, async task queues, and integration pipelines with external healthcare systems
Lead or support incident response, cluster upgrades, and disaster recovery procedures
Own the security posture of infrastructure enforcing least-privilege access controls, secrets hygiene, and security hardening