Senior Azure Platform Engineer
Job in
Saint Paul, Ramsey County, Minnesota, 55101, USA
Listing for:
Apex Systems
Full Time
position
Listed on 2026-11-08
Job specializations:
-
Software Development
Full Stack Developer, Backend Developer, AI Engineer (Applied/Software), Azure
Job Description & How to Apply Below
Job Description # Senior Azure Platform Engineer Apply
** Job#: 3056707
***
* Job Description:
** Senior Fullstack Software Engineer
*
* Location:
** Wayzata, Minnesota (Hybrid)
Role Overview A Senior Fullstack Software Engineer is required to join the GenAI Discovery and Prototyping team. This individual will help deliver a major platform upgrade that connects enterprise data pipelines, large language models (LLMs), and rapid application prototypes. The engineer will build scalable application layers using C# on the back end and React with Type Script on the front end, focusing on designing reliable software solutions that securely ingest, validate, process, and return LLM outputs within an enterprise ecosystem.
The ideal candidate has a strong engineering foundation, understands LLMs as statistical tools, and has direct, hands-on experience building applications powered by generative AI.
Key Responsibilities
* Design, build, and maintain features across the application stack, utilizing C# for back-end services and React/Type Script for user-facing interfaces.
* Connect enterprise data sources and LLMs with application prototypes, building robust workflows for validating, parsing, and structured handling of LLM outputs.
* Apply modern AI integration concepts, including Model Context Protocol (MCP) and skills-based software integrations.
* Deploy code through automated CI/CD pipelines in Microsoft Azure, contributing to application logging, monitoring, and basic Infrastructure as Code (IaC) templates.
* Work alongside platform and security teams to troubleshoot applications operating within secure enterprise data environments, firewalls, and access control boundaries.
* Assist in modernizing legacy architectures and migrating workflows toward twelve-factor, cloud-native application designs.
* Troubleshoot complex system bugs and technical blockers with minimal daily supervision, driving features from discovery to production-ready status.
Required Qualifications
*
* Education:
** Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
*
* Experience:
** Seven or more years of professional software engineering experience in an enterprise or fast-paced product environment, with proven production experience building software with LLMs, including direct integration of GenAI models into application workflows or data processing pipelines.
** Technical
Skills:
** Advanced back-end development using C#; strong front-end development using React and Type Script within the Node.js ecosystem; hands-on experience developing and deploying applications within Microsoft Azure and utilizing Azure Dev Ops for CI/CD; and familiarity with twelve-factor application methodologies, container workflows, and standard application monitoring/logging practices.
Preferred Qualifications
* Experience working in multi-cloud environments, including AWS exposure alongside Azure and AWS EKS.
* Previous experience working with animal nutrition, complex dietary software, or large-scale formulation platforms.
* Hands-on experience modernizing legacy application architectures or supporting major platform migrations.
* Familiarity with enterprise AI security, governance frameworks, and data privacy controls.
* Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package.
Our commitment to excellence is reflected in many awards, including Clearly Rateds Best of Staffing in Talent Satisfaction in…
Position Requirements
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