Data and AI DevOps Engineer II (Contract)
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Job Location:
Fairfax, VA - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Location (On-site Remote or Hybrid): Fairfax VA (Remote)
Contract Duration: Contract until 12/31/2026
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 (frontend) and (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: Bachelors 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/); backend development with ; 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.
What Success Looks Like: Demonstrates the ability to take loosely defined problems and move them forward independently proactively documents findings and solutions for reuse delivers reliable and maintainable solutions aligned with architectural direction and effectively supports both core product development and marketing-driven Adobe initiatives.
