Senior Infrastructure Engineer
Core
Design and operate scalable multi-tenant microservices and data-plane components for an enterprise Agentic AI platform.
Role type
Senior Infrastructure Engineer (Platform/Backend)
Builds
Production-grade AI infrastructure, data ingestion pipelines, and workflow automation systems.
Domain
Enterprise AI / Distributed Systems / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Golang, Python, Kubernetes, Cloud Providers (GCP/Azure/AWS), Distributed Systems, Database Internals, Service Mesh, Observability, IaC
Preferred skills
Vector/Graph Databases, Auth & Security (mTLS, Vault), High-scale Operations, Open-source contributions
Technologies
Kubernetes, GCP, Azure, AWS, Golang, Python, Docker, Terraform, Helm, ArgoCD, Flux, Istio, Linkerd, Prometheus, Grafana, OpenTelemetry, Kafka, Pulsar, NATS, Neo4j, Neptune, pgvector, Pinecone, Milvus
Responsibilities
Design multi-tenant microservices architectures on Kubernetes; Build core platform components in Golang and Python; Own service-to-service communication (gRPC, service mesh, load balancing); Define reliability contracts (SLOs, autoscaling, capacity planning); Design and operate the observability stack; Drive DevOps and platform-engineering practices (IaC, GitOps); Optimize for performance and cost; Participate in on-call rotations and lead incident response.
Seniority
Senior, hands-on IC