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NEXTMOVEFDE careers · United States

Senior/Staff Software Engineer - ML/AI Applications

AI summary of the role

Technical lead role owning end-to-end integration of an internal agentic platform at Zoox, bridging tool-centric agent runtimes with external clients, backends, and cloud operations.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Own integration strategy and execution across hosted services, shared libraries, and tool protocols (JSON-RPC over HTTP, REST APIs).
  • Drive cross-functional delivery with backend API teams, partner agent owners, security, SRE/platform, and program management.
  • Debug complex failures using logs, traces, metrics, and gateway/session-token behavior; document mitigations and runbooks.
  • Define and review integration artifacts: contracts, allowlists, registry config, environment matrices, interface assumptions.

What you’ll bring

  • BS/MS in CS or related field with 7+ years of software engineering experience in integration, platform, or backend roles.
  • Strong Python (production services, async I/O, automated testing) and comfort in a large monorepo with CI-driven delivery.
  • Deep experience with HTTP integration (REST/JSON-RPC, TLS, debugging under load) and shipping services on Kubernetes.
  • Auth integration experience: bearer tokens, JWT validation, OAuth2/OIDC or enterprise SSO, least-privilege scoping.

Technologies

Python · Kubernetes · REST · JSON-RPC · HTTP · TLS · JWT · OAuth2 · OIDC · Model Context Protocol · MCP · CI/CD

About Zoox

Builds and operates an all-electric, purpose-built autonomous robotaxi service, controlling the full stack from vehicle design to fleet operations.

Growth

Source and classification

Internal deployment & tooling · Evidence for this classification:

As a Technical Lead on Zoox's internal agentic platform, you will own end-to-end integration of a tool-centric agent runtime with external and internal agent clients, line of business backends, scheduled and interactive agent workloads, and cloud operations (Kubernetes, observability, secrets management). You will translate architecture and security intent into stable tool contracts, testable integration milestones, and repeatable releases, and you will be the primary engineer when issues sit at the boundary between product surfaces, platform services, and upstream systems. This role is platform and service integration for an agentic framework that mediates tools (discovery, invocation, policy, and telemetry). Success is measured by reliable tool call paths over HTTP, correct authentication and scoping, environment parity from dev through production, and clear ownership across partner
More from the job description

As a Technical Lead on Zoox's internal agentic platform, you will own end-to-end integration of a tool-centric agent runtime with external and internal agent clients, line of business backends, scheduled and interactive agent workloads, and cloud operations (Kubernetes, observability, secrets management). You will translate architecture and security intent into stable tool contracts, testable integration milestones, and repeatable releases, and you will be the primary engineer when issues sit at the boundary between product surfaces, platform services, and upstream systems. This role is platform and service integration for an agentic framework that mediates tools (discovery, invocation, policy, and telemetry). Success is measured by reliable tool call paths over HTTP, correct authentication and scoping, environment parity from dev through production, and clear ownership across partner engineering, security, and infrastructure teams. In this role, you will: Own and lead integration strategy and execution across hosted services, shared libraries, standardized tool protocols (e.g., JSON-RPC over HTTP), REST APIs, and diverse callers (vendor agents, consoles, automation workers). Drive cross-functional delivery with backend API teams, partner agent owners, security, SRE/platform, and program management, ensuring formal sign-off where required. Debug and root-cause complex fail [... source excerpt omitted ...] ntribute to release gating by ensuring container image promotion, configuration/secrets posture, smoke path execution for high-traffic flows, and disciplined branching/tagging for production intent Qualifications: BS or MS in Computer Science or a related field with 7+ years of software engineering experience, strong in integration, platform, or backend roles. Strong Python (production services, async I/O, automated testing) and comfort in a large monorepo with CI-driven delivery. Deep experience with HTTP integration (REST/JSON-RPC, TLS, debugging under load) and shipping services on Kubernetes (deployments, health checks, troubleshooting). Auth integration experience: bearer

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