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Senior DevOps Engineer; AI​/Cloud Modernization

Remote / Online - Candidates ideally in
Concord, Merrimack County, New Hampshire, 03306, USA
Listing for: St. George Tanaq Corporation
Full Time, Remote/Work from Home position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, Cybersecurity, IT Project Manager
Job Description & How to Apply Below
Position: Senior DevOps Engineer (AI/Cloud Modernization)

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Overview

Tanaq Technical Services (TTS), a division of St. George Tanaq (SGT)
Corporation, is an 8(a) Alaskan Native Small Business that specializes in delivering Enterprise Integrated Technology Solutions and Support Services to the Federal Government. TTS's innovative approach combines proactive strategies, efficient processes, and emerging technologies to deliver seamless, integrated services for our clients. TTS prides itself in being Mission Driven, People Focused. To learn more about us, visit

Fully Remote

Job Type: Full-time

About

The Role

We are seeking a Senior Dev Ops Engineer to provide AI/Cloud Modernization support the Department of Housing and Urban Development's Office of the Chief Information Officer (HUD OCIO). The Senior Dev Ops Engineer will lead the design, implementation, and operationalization of HUD's Dev Ops platform and cloud-native capabilities. This role will support AI/ML modernization efforts by establishing automated pipelines, containerized microservices, data pipelines, and secure cloud infrastructure.

This role collaborates closely with HUD infrastructure, operations, and AI/ML teams to ensure scalable, production-ready solutions. שהיה This is a fully remote position supporting 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肃和声明 API s.
  • Implement data pipelines (Apache Kafka) 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.
Requirements
  • 7+ years of Dev Ops engineering experience, 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 乐友 authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Technical Skills
  • Cloud Platforms: AWS, Azure
  • CI/CD Tools:
    Jenkins, Git Lab, Azure Dev Ops Pipelines
  • Containerization/Orchestration:
    Docker, Kubernetes
  • Infrastructure as Code:
    Ansible, Terraform
  • Data Pipelinesాడ Automation:
    Apache Kafka, Python/Bash scripting
  • Agile project management tools:
    Jira, Confluence
  • Dev Sec Ops  practices, secure coding standards, and AI/ML lifecycle support
Core Competencies
  • Collaboration across multi‑disciplinary federal teams
  • Risk management and compliance adherence
  • Problem‑to‑solving for scalable AI/ML solutions
  • Continuous improvement of Dev Ops processes
  • Documentation and knowledge‑transfer expertise
Education and Certifications
  • 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…
Position Requirements
10+ Years work experience
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