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Senior Software Integration Engineer

Leads end-to-end integration of agentic platform tools with clients, backends, and cloud ops on Kubernetes. Requires 7+ years experience, strong Python, HTTP/auth expertise, and cross-functional collaboration for reliable tool contracts and releases.

225k – 249kFoster City, CADevOps / SREHybrid7+ YOE

About the role

Responsibilities

  • 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 failures using structured logs, distributed traces, metrics, and gateway/session-token behavior, documenting durable mitigations and runbooks.
  • Define and review all integration artifacts (contracts, allowlists, registry config, environment matrices, and interface assumptions) that upstream and downstream teams implement against.
  • Contribute 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 tokens, JWT validation, OAuth2/OIDC or enterprise SSO concepts, and least-privilege scoping.

Bonus Qualifications

  • Exposure to Model Context Protocol (MCP) or similar agent tool-calling and orchestration models.
  • Observability-led integration habits: metrics, traces, structured logging, and basic SLO or dashboard thinking for integration health.
  • Background in security-sensitive integrations (data minimization, external partner access, review cycles with security or compliance).

Skills

PythonKubernetesHttpRestJson-RpcOauth2OIDCJwtAsync I/OCI/CDMonorepoDistributed TracingStructured LoggingTlsSRE

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