Software Engineer (MID)

Kapili Services, LLC; Albuquerque (NM); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

401K plan with company match

Medical, dental, disability, and life}

Tuition reimbursement

Paid time off

11 paid holidays

Job summary

Bering-Alaka`ina Holdings, LLC is seeking a DevOps Software Engineer to support OCR, ML, and AI services at a government-aligned archive platform located at Kirtland Air Force Base in Albuquerque, NM. You will architect infrastructure, implement CI/CD for ML models, and ensure reliable, scalable operations.

The role blends DevOps with AI/ML infrastructure, focusing on transformer deployments, observability, and secure, automated workflows.

Qualifications

• Four plus (4+) years relevant DevOps/Software Engineering experience OR Two plus (2+) years relevant DevOps/Software Engineering experience with relevant degree (e.g Computer Science, Software Engineering).
• Ability to obtain CompTIA Security+ Certification (within 6 weeks of starting)

Responsibilities

• Build and maintain infrastructure supporting OCR, ML, AI services that search, organize and characterize digital archive collections.
• Implement CI/CD pipelines for model deployment and ensure high availability of the archive platform.
• Develop containerized microservices and monitoring for ML pipelines and data processing.

Skills

Python development

ML data processing

JavaScript

Education

4+ years DevOps/Software Eng experience

CompTIA Security+ (possible)

Tools

Docker

Kubernetes

Jenkins

GitLab CI

GitHub Actions

Terraform

Ansible

CloudFormation

Hugging Face

Transformers

MongoDB

Elasticsearch

Apache Kafka

ArgoCD

Job description

Bering-Alaka`ina Holdings, LLC is looking for a qualifiedSoftware Engineerto support our government customer located at Kirtland Air Force Base in Albuquerque, New Mexico.

Are you a DevOps engineer who wants to build robust, scalable infrastructure for cutting-edge AI and machine learning applications?
Do you want to break free from manual deployments and create automated CI/CD pipelines that seamlessly deploy ML models analyzing millions of documents, images, and videos?

We need someone to architect and maintain the infrastructure that supports digitization, OCR, and machine learning analysis of massive datasets. You'll build DevOps, MLOps, and GitOps workflows to manage application and model deployments, create containerized microservices for document processing, and establish monitoring systems for ML pipelines that extract metadata from historical documents and generate time-series data from image analysis.

You'll implement Infrastructure as Code to support transformer model deployments, establish blue-green deployments for video analysis services, and create automated testing pipelines for image summarization and captioning systems. Plus, you'll build search infrastructure and APIs that make these AI-powered analyses discoverable and accessible.

This isn't just about deployment - you'll implement observability across distributed ML services, manage secrets and configurations, and build self-healing systems that automatically scale based on processing demands.

Are you a solid Python developer with strong DevOps fundamentals? Do you understand containerization with Docker and Kubernetes, CI/CD with tools like Jenkins or GitLab, and infrastructure automation with Terraform or Ansible? Can you build robust APIs and understand GitOps principles for ML model lifecycle management? What about JavaScript for building monitoring dashboards and frontend interfaces?

This role combines DevOps engineering with AI/ML infrastructure - you'll build the foundation that enables breakthrough analysis of text, image, and video data while ensuring reliable, scalable, and secure operations.

DESCRIPTION OF RESPONSIBILITIES:

The primary mission of our government customer is to provide timely electronic access to all nuclear weapons test data, legacy and current, to U.S. government programs supporting U.S. nuclear deterrent missions. Our government customer maintains a repository of over 20,000 films, two million photographs, and 60 million pages of documents dating back to The Manhattan Project. Kpili Services is charged with making the above hardcopy materials easily accessible to mission researchers in a way that provides knowledge and meaning through the use of digitization, Machine Learning (ML), Artificial Intelligence (AI), and data science workflows.

The DevOps Software Engineer works within a team of software engineers, data scientists and application architects to build and maintain the infrastructure supporting OCR, ML, and AI services that search, organize and characterize digital archive collections. You'll implement CI/CD pipelines for model deployment, manage containerized microservices, and ensure high availability of the archive platform.

REQUIRED DEGREE/EDUCATION/CERTIFICATION:

• Four plus (4+) years relevant DevOps/Software Engineering experience OR Two plus (2+) years relevant DevOps/Software Engineering experience with relevant degree (e.g Computer Science, Software Engineering).
• Ability to obtain CompTIA Security+ Certification (within 6 weeks of starting)

REQUIRED SKILLS AND EXPERIENCE:

• Four plus (4+) years relevant experience OR Two plus (2+) years with relevant degree (e.g. Comp Sci, Math)
• Strong Python development skills with experience in ML/data processing libraries (pandas, scikit-learn, etc.) and web frameworks (Fast API, Flask)
• JavaScript (Next.js) proficiency for API development and frontend tooling
• Hands-on experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.)
• Container orchestration with Docker and Kubernetes

DESIRED SKILLS AND EXPERIENCE:

• Master's degree in relevant field (e.g. Computer Science, Engineering)
• Infrastructure as Code experience (Terraform, Ansible, CloudFormation)
• GitOps workflows and version control best practices
• Experience with MLOps practices and ML model deployment pipelines
• Monitoring and observability tools (Prometheus, Grafana, ELK stack)
• Linux/Unix system administration and bash scripting
• Database administration (MonoDB, PostgreSQL, Elasticsearch)
• Security scanning and compliance automation
• Cloud platforms (AWS, Azure, or GCP) and associated services
• Familiarity with computer vision and NLP model deployment requirements
• Experience with any of the following tools: Hugging Face, Transformers, MongoDB, Apache Kafka, Apache Tika, RabbitMQ, Elasticsearch, ArgoCD

REQUIRED CITIZENSHIP AND CLEARANCE:

• Must be a U.S. Citizen
• Ability to obtain and maintain TOP Secret Clearance/SCI

Bering-Alaka`ina Holdings, LLC is a fast-growing government service provider. Employees enjoy competitive salaries. Eligible employees enjoy a 401K plan with company match; medical, dental, disability, and life insurance coverage; tuition reimbursement; paid time off; and 11 paid holidays.

We are an Equal Opportunity/Affirmative Action Employer of individuals with disabilities and veterans. We not illegally discriminate in employment decisions on the basis of any protected categories. If you are a person with a disability and you need an accommodation during the application process, We E-Verify all employees.

As a part of BSNC, Bering- Alakaina Holdings gives hiring, promotion, training, and retention preference to BSNC shareholders, descendants and shareholder spouses who meet the minimum qualifications for the job. Qualified job candidates will generally be considered in the following order: BSNC shareholders, descendants, shareholder spouses, current employees, and outside candidates. The BSNC Shareholder Development department tracks and monitors the implementation of the Shareholder Hire Preference across its operations.

Bering-Alaka`ina Holdings, LLC is comprised of industry-recognized government service firms designated as Alaska Native Corporation (ACN)-owned and 8(a) certified businesses and includes Ke`aki Technologies, LLC; Laulima Government Solutions, LLC; Kpono Government Services, LLC; Kapili Services, LLC; Po`okela Solutions, LLC; Kkaha Solutions, LLC;and Pololei Solutions, LLC.

For additional information, please visit www.beringalakaina.com

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