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Job Description

Bering-Alaka`ina Holdings, LLC is seeking a mid-level Software Engineer to help design and operate DevOps, MLOps, and GitOps infrastructure supporting OCR, machine learning, and AI services. The work enables digitization and searchable access to large nuclear weapons test data collections, including CI/CD for model deployment, containerized microservices, monitoring and observability, and Infrastructure as Code at Kirtland Air Force Base in Albuquerque, New Mexico.

Responsibilities

  • Architect and maintain infrastructure supporting digitization, OCR, and machine learning analysis of massive datasets.
  • Build DevOps, MLOps, and GitOps workflows to manage application and model deployments, including CI/CD for model deployment.
  • Create containerized microservices for document processing.
  • Establish monitoring systems for ML pipelines that extract metadata from historical documents and generate time-series data from image analysis.
  • Implement Infrastructure as Code to support transformer model deployments.
  • Establish blue-green deployments for video analysis services.
  • Create automated testing pipelines for image summarization and captioning systems.
  • Build search infrastructure and APIs so AI-powered analyses are discoverable and accessible.
  • Implement observability across distributed ML services.
  • Manage secrets and configurations.
  • Build self-healing systems that automatically scale based on processing demands.
  • Work with software engineers, data scientists, and application architects to build and maintain infrastructure that supports OCR, ML, and AI services for searching, organizing, and characterizing digital archive collections.
  • Manage containerized microservices to help ensure high availability of the archive platform.

Requirements

  • Ability to obtain CompTIA Security+ Certification within 6 weeks of starting.
  • 4+ years relevant experience OR 2+ years with a relevant degree (e.g., Computer Science, Math).
  • Strong Python development skills with experience in ML/data processing libraries (e.g., pandas, scikit-learn) and web frameworks (e.g., FastAPI, Flask).
  • JavaScript proficiency for API development and frontend tooling.
  • Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
  • Container orchestration experience with Docker and Kubernetes.

Technologies

  • Python, pandas, scikit-learn, FastAPI, Flask
  • JavaScript, Next.js
  • Jenkins, GitLab CI, GitHub Actions
  • Docker, Kubernetes

Benefits

  • 401K plan with company match
  • Medical, dental, disability, and life insurance coverage
  • Tuition reimbursement
  • Paid time off
  • 11 paid holidays

Required Degree/Education/Certification

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

Required Citizenship and Clearance

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

Desired Skills and Experience

  • Master's degree in a relevant field (e.g., Computer Science, Engineering).
  • Infrastructure as Code experience (e.g., Terraform, Ansible, CloudFormation).
  • GitOps workflows and version control best practices.
  • MLOps practices and ML model deployment pipelines.
  • Monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack).
  • Linux/Unix system administration and bash scripting.
  • Database administration (e.g., MongoDB, 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 one or more: Hugging Face, Transformers, MongoDB, Apache Kafka, Apache Tika, RabbitMQ, Elasticsearch, ArgoCD.

Location: Albuquerque, NM (onsite) • Experience: 4+ years • Minimum Experience: 4 years

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