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Endeavor Health - Skokie, IL

Senior Coding Educator

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Principal Engineer AI

BMO Financial

Chicago Heights, IL 60411

~ 42 min OnsiteBilingual PreferredEducation AssistanceHealth InsuranceRetirement Benefit

Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (Master's preferred).
8+ years of software/platform engineering experience (Principal), or 5+ years (Senior), with substantial time building and operating shared platform services at enterprise scale.
Demonstrated experience operating production infrastructure with real SLOs and on-call ownership, ideally in a regulated industry
Depth in one or more of: API gateways / traffic enforcement; policy-as-code and authorization; workload identity / zero-trust; observability and telemetry pipelines; audit/compliance data platforms.
Strong distributed-systems and platform-engineering fundamentals: latency-sensitive request paths, resilience patterns (circuit breakers, failover), multi-tenancy, and high availability.
Strong programming skills (Python and/or Go preferred; TypeScript/Java an asset) for building performant services, APIs, and integrations.
Cloud-native architecture across AWS and Azure : containers/Kubernetes, service mesh, and Infrastructure as Code (CDK, Terraform, CloudFormation/ARM).
Robust CI/CD, GitOps, and DevSecOps practice; Git-based workflows (Bitbucket/GitHub), Jira, Confluence.
Policy/Authorization: Cedar, OPA/Rego, policy compilation and distribution, risk-tiered approval workflows.
Identity/Zero-Trust: SPIFFE/SPIRE, token-exchange bridging, per-domain trust boundaries, Entra Agent ID integration, on-behalf-of identity propagation, cross-cloud token federation with zero-trust attestation.
Observability/Audit: OpenTelemetry (incl. GenAI conventions), distributed tracing, Dynatrace/Splunk or equivalents, tamper-evident/immutable audit stores, data lineage.
Gateway/Guardrails: API gateway internals, inline enforcement, LLM routing/abstraction, prompt-injection and PII defenses, hallucination detection, AI evaluation.
Registry/Portal: service catalogues, asset registries, lifecycle workflows, federation with external registries.
GenAI & Governance Context: Working knowledge of GenAI platform patterns: LLM/AI gateways, RAG and agentic patterns, foundation models, embeddings, and guardrails — sufficient to build the infrastructure they depend on.
GenAI & Governance Context: Familiarity with AI/ML platforms (Bedrock, Azure OpenAI, SageMaker, MLflow) and orchestration frameworks (LangChain, LlamaIndex).
GenAI & Governance Context: Grounding in Responsible AI, AI/data governance, privacy, cloud security, and IAM as applied to AI workloads.
Certifications (Preferred): AWS Certified Solutions Architect (Associate/Professional) / ML – Specialty
Certifications (Preferred): Microsoft Certified: Azure Solutions Architect Expert / Azure AI Engineer Associate
Certifications (Preferred): Security/identity certifications (relevant to Identity Fabric roles)
Certifications (Preferred): Databricks / Google Cloud ML credentials; relevant GenAI/LLM credentials
Participates in on-call rotation for owned services