Manager, API Platform Engineering

Job Summary

University Federal Credit Union (UFCU) is seeking a Manager, API Platform Engineering to lead a technical team to deliver UFCU’s enterprise service layer—a portfolio of APIs, integrations/orchestrations, and enterprise microservices used by internally developed applications, AI initiatives, and approved third‑party vendors/partners. Reporting to the Director of Platform Engineering, this is a hands‑on, “player‑coach” technical leadership role that blends people management with architecture accountability.

You will be responsible for architecture reviews and sign‑off, platform governance, delivery execution, and 24/7 operational readiness.

• API & Integration development on the Mule Soft Anypoint Platform: API development, integration patterns, orchestration, policy enforcement, and runtime operations.
• Enterprise Microservices (Kubernetes/Azure): microservices deployed to Kubernetes (AKS preferred) using Azure cloud services and enterprise engineering standards.

This role supports a hybrid work model with 2–3 days per week on‑site at the UFCU Plaza building and manager a core team of 5–7 FTE’s, scaling with contractor resources as needed.

• Lead an engineering team consisting of API/Integration and Microservices resources delivering reliable, secure, reusable enterprise services and APIs.
• Provide hands‑on technical leadership including:
  • Architecture reviews, technical design guidance, and engineering sign‑off for APIs, integrations, and microservices
  • Establishing and maintaining reference architectures and engineering standards
• Own the API platform roadmap and governance, including:
  • API design standards, documentation (e.g., OpenAPI), versioning, lifecycle management, and deprecation policies
  • Consistent patterns for error handling, idempotency, resiliency, and backward compatibility
• Guide Mule Soft Anypoint Platform delivery and operations, including:
  • API lifecycle management, policy enforcement, reusable assets, orchestration patterns, and runtime monitoring
  • Performance tuning, release readiness, and operational stability
• Lead enterprise microservices engineering using C#/.NET, Kubernetes, and Azure, including:
  • Service boundaries and domain alignment, contract‑first/service‑first approaches
  • CI/CD, automated testing strategies, and secure SDLC quality gates
  • Observability practices: metrics, logs, distributed tracing, dashboards, and alerts
• Ensure production reliability and operational excellence by:
  • Establishing incident response practices, runbooks, post‑incident reviews, and problem management
  • Defining and tracking SLAs/SLOs, MTTR, reliability trends, and capacity planning
• Embed security and compliance into engineering practices, partnering with Security/Risk/Compliance to ensure:
  • Secure API and service patterns (OAuth2/OIDC, mTLS where appropriate, secrets management, encryption at rest/in transit, least privilege)
  • Audit readiness (change management, evidence collection, and operational controls)
• Enable internal teams, AI initiatives, and vendors by delivering:
  • A clear enterprise service catalog and onboarding documentation
  • Supportable integration patterns and certification/testing approaches for vendor consumption
• Manage delivery execution and team operations, including:
  • Agile planning (Scrum/Kanban), prioritization, dependency management, and stakeholder communication
  • Hiring, coaching, performance management, and contractor augmentation management

• Strong leadership capability with a platform mindset—building reusable, well‑governed services that enable other teams.
• Deep knowledge of API engineering best practices, including:
  • RESTful design, versioning strategies, lifecycle management, security policies, throttling, documentation, and governance
• Hands‑on experience with C#/.NET.
• Solid understanding of integration and orchestration patterns, including synchronous/asynchronous approaches, retries, dead‑letter handling, and resiliency.
• Working expertise in microservices architecture and distributed systems concepts:
  • Service boundaries, reliability patterns (timeouts, circuit breakers), data ownership considerations, performance, and scalability
• Demonstr…