Senior Data Engineer - API Platform Engineer - CDH

Mayo Career Site US; Rochester (MN); On-site; USD 120,000 - 190,000; Full time

Job summary

Mayo Clinic in Rochester, MN is seeking a Senior Data Engineer - API & AI Gateway Platform Engineer to design, develop, and support enterprise API and AI gateway platforms across cloud and on-prem environments.

You will lead architecture, build scalable proxies and services, enforce security frameworks (OAuth, JWT, API keys, mTLS), govern API lifecycle, and mentor engineers while aligning with enterprise standards and the ISM program.

Qualifications

• Experience designing scalable API gateways and AI gateway platforms.
• Experience with API lifecycle management and security.
• Ability to mentor engineers and influence platform strategy.

Responsibilities

• Lead design and architecture of enterprise API & AI gateway capabilities.
• Build and manage scalable API proxies and services for REST/SOAP integrations.
• Implement API security frameworks including OAuth, JWT, API keys, mTLS.
• Develop and maintain enterprise AI gateway services.
• Develop API governance standards and lifecycle management.
• Support deployments across multi-cloud environments (GCP, Azure, on-prem).
• Develop CI/CD pipelines and automation for API deployments.

Skills

API architecture

Platform engineering

Cloud integration

Mentoring engineers

Tools

Apigee

OAuth

JWT

CI/CD

APIs security

Job description

The Senior Data Engineer - API & AI Gateway Platform Engineer will design, develop, and support enterprise API and AI gateway platforms leveraging technologies such as Apigee (Edge, X, Hybrid), Palo Alto Prisma AIRS (Portkey), Akamai API Security and related integration frameworks. This role requires a combination of API & AI Gateway architecture, integration, platform engineering, and data enablement skills. This role operates with a high degree of autonomy and is expected to lead architectural decisions, influence platform strategy, and mentor other engineers in API & AI gateway platform best practices.

The ideal candidate will have experience building scalable API & AI gateway platforms, managing API lifecycle processes, and implementing secure, high-performing API & AI gateway solutions across cloud and hybrid environments. The Senior Data Engineer will partner with application teams, architects, and platform teams to enable consistent API & AI gateway delivery, governance, and operational excellence.

This role is part of the enterprise Information Security Modernization (ISM) program, supporting the evolution of secure, scalable API, AI gateway and API security platform capabilities. Participation in a rotating on-call support schedule is required.

Key responsibilities

• Lead design and architecture of enterprise API & AI gateway platform capabilities ensuring alignment with enterprise standards, scalability, and long-term maintainability.
• Build and manage scalable API proxies and services supporting REST and SOAP-based integrations.
• Implement API security frameworks including OAuth, JWT, API key management, mTLS, and secure communication protocols.
• Implement and maintain enterprise AI gateway services.
• Develop and enforce API governance standards including versioning, lifecycle management, and API design best practices.
• Support API & AI gateway platform deployments across multi-cloud environments (GCP, Azure, on-prem) and hybrid architectures.
• Develop CI/CD pipelines and automation frameworks to enable consistent API & AI gateway deployments and lifecycle management.
• Configure and manage API traffic policies including rate limiting, caching, throttling, and load balancing to optimize performance and reliability.
• Monitor and analyze API performance using analytics, logging, and observability tools; identify and resolve performance or reliability issues.
• Integrate APIs with backend systems, microservices, and enterprise platforms to enable seamless data exchange.
• Participate in migration and modernization efforts including transition from legacy API platforms to cloud-native or hybrid API solutions.
• Ensure compliance with enterprise security, regulatory, and data privacy requirements including secure logging and data masking practices.
• Collaborate with developers, architects, and platform teams to translate business and technical requirements into scalable API solutions.
• Provide operational support including troubleshooting, incident response, and continuous improvement of API platform capabilities.
• Develop and maintain platform documentation, runbooks, and onboarding materials for internal users and developers.
• Support proof-of-concepts and innovation initiatives to evaluate new API and integration technologies.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.