Senior Platform Engineer (AI Gateway, Identity & Observability)

Location :Oaks,PA, Hybrid 3 days onsite

MUST HAVE

• 5+ years hands-on engineering across API platforms, identity or observability, with production depth in at least one and working competence in the others. All three areas are in scope for this position.
• 4+ years building and operating API gateways in production: routing, policy authoring, rate limiting and quotas, authentication, transformation and versioning. Azure API Management is strongly preferred; comparable depth in Apigee, Kong or an equivalent enterprise gateway is acceptable.
• 3+ years enterprise identity and access engineering: OAuth2, OpenID Connect and JWT validation, service principals and workload or managed identity, and secrets management using an enterprise vault.
• 3+ years hands-on OpenTelemetry or equivalent distributed tracing: instrumentation, collectors, resource attributes, span design, and trace, metric and log pipelines.
• 3+ years in a site reliability, production engineering or platform operations role, or equivalent hands-on responsibility for a service other teams depend on: service level objectives and error budgets, alerting design, on-call and incident response, and post-incident analysis. This position owns whether the telemetry is trustworthy, not only whether it is being collected.
• 2+ years working with LLM or AI workloads in production, including model routing across providers, token-based limits and quotas, streaming responses, content filtering, and how inference cost accrues and is attributed.
• Experience with LLM observability tooling, such as Langfuse, LangSmith, Arize or an equivalent platform, including how agent traces differ from conventional application traces.
• 3+ years production API operations: failover, circuit breaking, caching, load testing to prove capacity, and incident response for a service other teams depend on.
• 2+ years integrating third-party or self-hosted services into an enterprise network, including private connectivity or controlled egress, DNS resolution, TLS and certificate management, and working the firewall and security review needed to get each path approved.
• Working knowledge of cloud infrastructure on at least one major hyperscaler: networking, identity, container platforms and infrastructure-as-code.
• Programming competence in Python, C# or an equivalent language, sufficient to build and maintain policy extensions, callout services and instrumentation libraries.