Senior DevOps Engineer (AI/Cloud Modernization)

Senior DevOps Engineer (AI/Cloud Modernization)

Fully Remote

Job Type

Full-time

Description

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

About the Role

We are seeking a Senior DevOps 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 DevOps Engineer will lead the design, implementation, and operationalization of HUD's DevOps 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.

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, GitLab, or Azure DevOps for software development, DevOps, 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 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 DevOps 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

Required Experience and Skills

• 7+ years of DevOps 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 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, GitLab, Azure DevOps Pipelines

• Containerization/Orchestration: Docker, Kubernetes

• Infrastructure as Code: Ansible, Terraform

• Data Pipelines & Automation: Apache Kafka, Python/Bash scripting

• Agile project management tools: Jira, Confluence

• DevSecOps practices, secure coding standards, and AI/ML lifecycle support

Core Competencies

• Collaboration across multi-disciplinary federal teams

• Risk management and compliance adherence

• Problem-solving for scalable AI/ML solutions

• Continuous improvement of DevOps 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 DevOps Engineer or Azure DevOps Engineer Expert (required)

• Kubernetes or Docker certification (preferred)

• CI/CD pipeline automation certification (Jenkins, GitLab, Azure DevOps) preferred

Physical Requirements

• Candidates must reside in the United States.

• Prolonged periods of sitting at a desk and working on a computer. May need to lift up to 25 pounds occasionally.

Benefits Information

Benefits offered may vary depending on the nature of your employment with Tanaq. Full-time US-based employees gain access to healthcare benefits (Medical, Dental, Vision), Basic Life Insurance, Short-Term Disability, Long-Term Disability, 401(k), Flexible Spending Account, EAP, Education Reimbursement, Paid Time Off and Holidays.

Who We Are

Tanaq Technical Services (TTS) strives to deeply understand and analyze our clients' vision, needs, and requirements so we may provide alternative solutions, empowering them to choose the best resolution. We aim to achieve excellence by delivering on our commitments to our clients, employees, and partners.

Our Commitment to Non-Discrimination

Tanaq Technical Services is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local law. Tanaq complies with the Drug-free Workplace Act of 1988 and E-Verify.

If you are an individual with a disability and need assistance completing any part of the application process, please email View email address on click.appcast.io to request a reasonable accommodation. This email is for accommodation requests only and cannot be used to inquire about the status of applications.

Notice on Candidate AI Usage

Tanaq is committed to ensuring a fair and competitive interview process for all candidates based on their experience, skills and education. To ensure the integrity of the interview process, the use of artificial intelligence (AI) tools to generate or assist with responses during phone, in person and virtual interviews is not allowed. However, candidates who require a reasonable accommodation that may involve AI are required to contact us prior to their interview at View email address on click.appcast.io.

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