- Development of backend for AI agent platform and microservices around it - Participate in the architecture setup, in choosing technologies - Stay up to date with updates and frameworks around AI agent technologies, study and experiment. - Improve and optimize parts of the platform related to agent creation, quality evaluation, and performance under load. - Work closely with platform clients, take feedback into account, and help build a user-friendly product.

• Lead the design of high-performance distributed systems capable of handling global traffic • Develop and refine services to improve scalability and efficiency • Drive the transition toward a service-oriented architecture (SOA) to ensure modularity and resilience • Set the bar for code quality by enforcing SOLID principles, design patterns, and testing standards • Actively coach mid-level engineers through deep code reviews and technical knowledge sharing • Identify bottlenecks in services and implement advanced caching and database strategies • Partner with Product and DevOps to translate complex requirements into scalable technical roadmaps

• Participate in a full stack engineering team charged with improving the client onboarding and billing experiences through front-end enhancements and back-end APIs • Capture critical data for record keeping and auditing • Support transaction monitoring and screening for risk detection, fraud prevention, and anti-money laundering • Collaborate directly with compliance, customer experience, finance, and legal teams as well as external third-party systems to support the company's regulatory commitments

Role Description The Senior Data Engineer - API Platform Engineer will design, develop, and support enterprise API platforms leveraging technologies such as Apigee (Edge, X, Hybrid) and related integration frameworks. This role requires a combination of API 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 platform best practices. The ideal candidate will have experience building scalable API platforms, managing API lifecycle processes, and implementing secure, high-performing API solutions across cloud and hybrid environments. The Senior Data Engineer will partner with application teams, architects, and platform teams to enable consistent API delivery, governance, and operational excellence. This role is part of the enterprise Information Security Modernization (ISM) program, supporting the evolution of secure, scalable API platform capabilities. Participation in a rotating on-call support schedule is required. - Lead design and architecture of enterprise API 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. - Develop and enforce API governance standards including versioning, lifecycle management, and API design best practices. - Support API platform deployments across multi-cloud environments (GCP, Azure, on-prem) and hybrid architectures. - Develop CI/CD pipelines and automation frameworks to enable consistent API 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. Qualifications - Experience building scalable API platforms. - Experience managing API lifecycle processes. - Experience implementing secure, high-performing API solutions across cloud and hybrid environments. Requirements - This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. - Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program. Benefits - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future.