Core IT Svcs Splst

University of New Mexico•Albuquerque, NM

7d•$5,904 - $8,450•Hybrid

About The Position

UNM Information Technologies is seeking a Core Services Specialist to support enterprise application integration, automation, and emerging AI platform initiatives. Under limited supervision, this position will design, develop, implement, and support enterprise system integrations, APIs, middleware solutions, reusable automation services, and AI enabled workflows that connect critical university systems including Ellucian Banner, Salesforce, ServiceNow, Azure services, and other institutional applications. The position will primarily leverage the Boomi Integration Platform for enterprise integration development and support while collaborating closely with technical and functional teams across the university. This position will also support the university’s general purpose AI platform initiative by developing and supporting API endpoints, Model Context Protocol (MCP) integrations, AI service connectivity, and reusable automation services that can be consumed by AI agents, institutional applications, and third party systems. The role will assist with AI monitoring, observability, and usage reporting efforts using technologies such as Azure Application Insights, OpenTelemetry, Azure Monitor, and Cosmos DB to support operational visibility and usage tracking, including AI token consumption and related analytics.The role will participate in modern DevSecOps and cloud development practices including the use of pipelines, automated deployment processes, version control, testing frameworks, and AI assisted development tools such as OpenAI, Claude, Codex, Claude Code, GitHub Copilot, and similar technologies to improve development efficiency, troubleshooting, and delivery. The successful applicant will have strong communication and customer service skills, experience with enterprise application and system integration, and an understanding of modern integration, automation, AI, and cloud technologies. The ideal candidate will be able to collaborate effectively with technical and functional teams, troubleshoot complex integration and automation issues, and contribute to scalable, secure, and sustainable enterprise solutions in a higher education environment.

Requirements

Bachelor's degree; at least 4 years of experience directly related to the duties and responsibilities specified.
Completed degree(s) from an accredited institution and/or experience that is directly related to the duties and responsibilities specified may be interchangeable on a year-for-year basis.
Strong communication and customer service skills.
Experience with enterprise application and system integration.
Understanding of modern integration, automation, AI, and cloud technologies.

Nice To Haves

Experience with enterprise application and system integration architecture including the consumption, design, development, and support of APIs and web services using REST, SOAP, and related integration technologies.
Knowledge and/or experience with middleware integration platforms such as Boomi, including integration process development, API management, workflow automation, and system connectivity.
Knowledge and/or experience developing reusable automation services and API driven workflows that can be leveraged by enterprise applications, AI platforms, and third party services.
Knowledge and/or experience with AI integration concepts including Model Context Protocol (MCP), AI service connectivity, agent based workflows, prompt engineering, retrieval augmented generation (RAG), and AI assisted development tools.
Experience using generative AI platforms and AI assisted software development tools such as OpenAI, Anthropic Claude, Claude Code, OpenAI Codex, GitHub Copilot, or similar technologies to improve software development, troubleshooting, testing, and operational efficiency.
Knowledge and/or experience with cloud platforms and services such as Microsoft Azure and/or AWS.
Knowledge and/or experience with Azure observability and monitoring technologies including Azure Application Insights, OpenTelemetry, Azure Monitor, and Cosmos DB.
Knowledge and/or experience with ServiceNow integrations, workflow automation, and IT service management platforms.
Experience with DevSecOps principles and modern software delivery practices including code versioning, pipelines, continuous integration, continuous deployment/delivery, automated testing, and containerized application deployment.
Knowledge and/or experience with scripting and software development languages/frameworks such as JavaScript, Python, PHP, Laravel, SQL, or related technologies.
Experience troubleshooting and supporting enterprise integrations, APIs, middleware solutions, and distributed systems in a production environment.
Experience with all aspects of the Software Development Life Cycle (SDLC) including requirements gathering, solution design, development, configuration, integration, testing, implementation, documentation, and post implementation support.
Ability to analyze business and technical requirements and translate them into scalable, maintainable, and secure integration and automation solutions.
Ability to obtain results and add value to the organization by being accessible to and supportive of others, setting clear goals and monitoring progress, making timely and sound decisions, and collaborating effectively across teams.
Strong written, verbal, and presentation communication skills including the ability to communicate technical concepts clearly to both technical and non technical audiences.

Responsibilities

Design, develop, implement, and support enterprise system integrations, APIs, middleware solutions, reusable automation services, and AI enabled workflows.
Support the university’s general purpose AI platform initiative by developing and supporting API endpoints, Model Context Protocol (MCP) integrations, AI service connectivity, and reusable automation services.
Assist with AI monitoring, observability, and usage reporting efforts using technologies such as Azure Application Insights, OpenTelemetry, Azure Monitor, and Cosmos DB.
Participate in modern DevSecOps and cloud development practices including the use of pipelines, automated deployment processes, version control, testing frameworks, and AI assisted development tools.
Collaborate effectively with technical and functional teams.
Troubleshoot complex integration and automation issues.
Contribute to scalable, secure, and sustainable enterprise solutions.