Infrastructure Engineer

Applied Compute•San Francisco, CA

44d•Onsite

About The Position

As an infrastructure engineer, you'll build the foundational deployments that everything else runs on. You'll own the systems that make Applied Compute's Agent Cloud reliable, secure, and deployable into enterprise environments: sandboxed execution environments, orchestration infrastructure, networking and security middleware, data connectors, and the deployment machinery that provisions our systems into customer VPCs. This is the layer that turns a collection of applications and models into a production-grade enterprise platform.

Requirements

Deep systems engineering experience: containers, orchestration, networking, security, and distributed systems
Experience building and operating infrastructure that runs in customer environments (on-prem, VPC, or hybrid cloud)
Strong understanding of security fundamentals: sandboxing, isolation, identity management, secrets handling, audit logging
Comfort with infrastructure-as-code, CI/CD, Kubernetes, and modern deployment tooling
Ability to reason about system reliability, fault tolerance, and operational concerns at scale

Nice To Haves

Experience with microVM or container isolation technologies (Firecracker, gVisor, Kata Containers)
Background with workflow orchestration systems (Temporal, Cadence, or similar)
Experience building multi-tenant platforms deployed into enterprise environments
Familiarity with WebRTC, browser automation (CDP), or remote desktop streaming
Background with ML infrastructure: GPU scheduling, model serving, training pipelines
Previous experience as a founder or early engineer at a zero-to-one company

Responsibilities

Build the agent sandboxing system: secure, isolated, and rich execution environments using microVMs and container orchestration
Own the orchestration layer that coordinates agent sessions, LLM pipelines, and background learning jobs
Design and implement the authentication, authorization, and audit logging middleware at the boundary between Applied Compute and customer environments
Build the integration layer that connects agents to tools, external APIs, and MCP servers across applications
Architect the data layer across OLAP, OLTP, and blob data stores, and build mechanisms that keep them coherent
Develop the deployment and provisioning infrastructure (CLI, container registry, resource management) for engineers to ship and manage customer deployments
Ensure the platform meets enterprise security, networking, and compliance requirements across diverse customer cloud environments (AWS, Azure, GCP)