Senior DevOps Engineer; AI/Cloud Modernization
Listed on 2026-01-15
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IT/Tech
Cloud Computing, Systems Engineer, Cybersecurity, IT Project Manager
Location: Columbia
Senior Dev Ops Engineer (AI/Cloud Modernization) –
St. George Tanaq Corporation
1 day ago – Be among the first 25 applicants.
OverviewTanaq Technical Services (TTS) is an 8(a) Alaskan Native Small Business that specializes in delivering Enterprise Integrated Technology Solutions and Support Services to the Federal Government. We combine proactive strategies, efficient processes, and emerging technologies to provide seamless, integrated services for government clients.
Work Environment- Fully Remote
- Full‑time
Tanaq Technical Services supports the Department of Housing and Urban Developmentرسال Office of the Chief Information Officer (HUD OCIO). The Senior Dev Ops Engineer will lead賞 the design, implementation, and operationalization of HUD’s Dev Ops platform and cloud‑native capabilities. This role supports AI/ML modernization through automated pipelines, containerized microservices, data pipelines, and secure cloud infrastructure, collaborating closely with HUD infrastructure, operations, and AI/ML teams to deliver scalable, production‑ready solutions.
This full‑remote role supports a federal government contract that requires a federal background check and NACI clearance. Candidates must reside in the United States.
Responsibilities- Design, develop, and maintain CI/CD pipelines using Jenkins, Git Lab, or Azure Dev Ops for software development, Dev Ops, and ML Ops initiatives.
- Establish and manage automated workflows for build, test, and deployment processes.
- Configure and maintain cloud infrastructure (AWS, Azure) to support new capability development.
- Develop and manage microservices, containerization, and declarative APIs.
- Implement data pipelines (Apache Kafkaுங்கள்) and automated data validation routines.
- Support HUD in maturing architectures, technology stacks, coding standards, version control strategies, software integration points, and milestone plans.
- Embed security in Dev Ops workflows in coordination with the Senior Security Engineer.
- Document all processes, configuration management, and privacy/security compliance activities.
- Participate in AI/ML proofs of concept and scale pilots into enterprise‑ready systems.
- 7+ years of Dev Ops engineering experiencestæ including CI/CD, cloud infrastructure, and automation.
- 5+ years supporting federal IT modernization projects preferred.
- Experience developing AI/ML‑enabled solutions and scaling POCs to production‑ready systems.
- Expertise with microservices, containerization (Docker/Kubernetes (․), and API design.
- Hands‑on experience with infrastructure‑as‑code tools (Ansible, Terraform).
- Knowledge of federal security and compliance frameworks (FedRAMP, NIST RMF, OMB M‑Memos).
- Previous experience in regulated/federal government environments is a plus.
- Previous experience supporting HUD OCIO preferred.
- Ability to pass required Federal background screening and obtain and maintain both government clearance and customer approval.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Cloud Platforms: AWS, Azure
- CI/CD Tools:
Jenkins, Git Lab, Azure Dev Ops Pipelines - Containerization/Orchestration:
Docker, Kubernetes - Infrastructure as Code:
Ansible, Terraform - Data Pipelines & Automation:
Apache Kafka, Python/B MÉush scripting - Agile project management tools:
Jira, Confluence - Dev Sec Ops practices, secure coding standards, and AI/ML lifecycle support
- Collaboration across multi‑disciplinary federal teams
- .Successful risk management and compliance adherence
- Problem‑solving for scalable AI/ML solutions
- Continuous improvement of Dev Ops processes
- Documentation semakin knowledge‑transfer expertise
- Bachelor’s degree in Computer Science, Information Systems, or related field (required)
- Master’s degree in related field (preferred)
- Certifications:
- AWS Certified Dev Ops Engineer or Azure Dev Ops Engineer Expert (required)
- Kubernetes or Docker certification (preferred)
- CI/CD pipeline automation certification (Jenkins, Git Lab, Azure Dev Ops) preferred
- Must reside in the United States.
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