Quick overview
Job description
- Architect, build, and deploy mission‑critical, highly available applications on Google Cloud Platform and Microsoft Azure.
- Design and manage containerized microservices using Kubernetes, including networking, ingress, service mesh, and Helm charts.
- Develop full‑stack software in Python and Go, implementing modern client‑server patterns, REST/gRPC APIs, and event‑driven architectures.
- Create and evolve AI agentic platforms with Model Context Protocol (MCP) servers, gateways, and Agent‑to‑Agent orchestration.
- Define and enforce enterprise‑grade authentication and authorization frameworks (OAuth2, OIDC, mTLS, SPIFFE/SPIRE, RBAC/ABAC).
- Apply IP networking expertise to design resilient hybrid network topologies, SDN, VPC/VNet peering, and traffic security.
- Provide technical leadership, conduct code and architecture reviews, and mentor engineering teams.
- Champion modern DevOps, GitOps, and CI/CD automation (ArgoCD, Flux, Terraform, Pulumi).
- Implement observability, telemetry, and distributed tracing using OpenTelemetry, Prometheus, and Grafana.
- Collaborate with product and research groups to translate AI and automation requirements into scalable solutions.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field, or equivalent experience.
- 5+ years of professional software engineering with end‑to‑end system architecture responsibilities.
- Hands‑on experience deploying complex multi‑service applications on GCP and Azure.
- Deep expertise in Kubernetes ecosystem (Helm, Operators, CNI, Istio/Envoy).
- Advanced programming skills in Python and Go; experience with TypeScript/Node.js, Java, or C++ is a plus.
- Strong full‑stack web development background (REST, gRPC, async/event‑driven design).
- Solid IP networking knowledge (OSI layers, TCP/IP, VPC/VNet peering, routing, security policies).
- In‑depth understanding of OAuth2, OpenID Connect, JWT, mTLS, and RBAC/ABAC for autonomous agents.
- Practical experience with AI agentic concepts, MCP servers/clients, and LLM tool augmentation.
- Familiarity with IaC tools (Terraform, Pulumi, Ansible) and multi‑agent orchestration frameworks (LangGraph, AutoGen, CrewAI).
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