Data and AI DevOps Engineer

Data and AI DevOps Engineer Start: 3-4 weeks from date of offer Location: Remote - work done on CST/EST hours Length of Contract: Through EOY 2026 Hourly Pay: 60-67 p/hr on W2 • Background Check, Drug Screen, Vaccinations Required • • W2 Contract Only • • No 3rd Party Applicants • Job Summary: The Data and AI DevOps Engineer II designs, builds, enhances, and supports full stack applications for production systems and skunkworks initiatives. This role emphasizes execution, ownership, and problem-solving, working closely with architects and senior engineers to deliver reliable, maintainable solutions. The position supports both core product development and marketing-driven initiatives and may be performed remotely, in a hybrid arrangement, or on-site depending on team needs. ● Design, develop, and maintain full stack applications using Next.js (frontend) and Node.js (backend). ● Implement and consume APIs, including authentication and authorization mechanisms. ● Build user interfaces using Tailwind CSS and modern CSS best practices. ● Integrate AI capabilities (e.g., calling LLM or machine learning APIs and implementing prompt-driven features). ● Use basic SQL to query data, perform joins, and troubleshoot data-related issues. ● Own assigned features end-to-end from initial investigation through implementation and defined support/hand-off. ● Rapidly prototype new concepts and evolve them into production-quality solutions. ● Deploy, operate, and support applications hosted in Microsoft Azure. ● Troubleshoot application, integration, and operational issues as they arise. ● Provide development and integration support for marketing use cases leveraging Adobe Experience Platform (AEP) and related Adobe tools (training provided). ● Produce and maintain clear technical documentation in Confluence and related knowledge bases. ● Collaborate with architects, senior engineers, product teams, and stakeholders; participate in code reviews and continuous improvement. ● Contribute to CI/CD pipeline configuration and deployment scripts as part of defined build scope. ● Create/maintain build artifacts and technical documentation (implementation notes, configuration references) tied to deliverables. ● Execute and document initial test runs (smoke/integration) required for go-live readiness in coordination with QA. ● Participate in code reviews and address defects found during initial testing. Education / Experience / KSAs: ● Education: Bachelor’s degree in computer science, Information Technology, or related field; or Associate degree with additional relevant professional experience; or High School Diploma/GED with additional relevant professional experience. ● Experience: 3–6 years of professional experience as a full stack developer. ● Minimum KSAs: Strong modern JavaScript development (React/Next.js); backend development with Node.js; API authN/authZ (OAuth, JWT, token- based); Tailwind CSS; basic SQL (queries/joins/troubleshooting); experience deploying/supporting apps in Azure (preferred) or AWS; exposure integrating AI/LLM services; ability to work independently and drive tasks to completion; strong written communication for technical documentation. ● Certification/Licensure: None required. ● Experience with source control and modern CI/CD workflows. ● Working knowledge of scripting/programming for automation (e.g., Python, Bash, PowerShell). ● Ability to follow established engineering standards and produce clear implementation documentation. Preferred Qualifications: ● Experience in healthcare or other regulated environments. ● Prior exposure to Adobe Experience Platform (AEP) or other Adobe marketing tools. ● Familiarity with CI/CD pipelines, cloud-native services, and operational best practices. ● Experience balancing experimental/skunkworks initiatives with production- quality delivery. ● Familiarity with automated testing and release readiness practices. ● Experience supporting internal analytics or AI platforms.