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Salary
≈ $80k – $163k per year (Estimated)
Location
In office (Redstone Arsenal)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Nov 21, 2025. SOSi scores C on the Alion truth index.

Overview
Company
Impact
Profile match
SOS International, known as SOSi, is a privately held American government services company founded in 1989 that began by supplying linguists and interpreters to the United States military. It has since broadened into intelligence analysis, logistics and base operations support, information technology and network engineering, and cybersecurity, working for defence, intelligence and federal civilian customers both in the United States and in deployed locations. Headquartered in Reston, Virginia and still family owned, it employs several thousand people, a large share of them holding security clearances.

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Overview

SOS International LLC (SOSi) is seeking highly skilled Software Developers to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on an HPC.

In this role, you will play a pivotal role in designing, developing, and maintaining MSIC software applications. You will work closely with cross-functional teams to deliver high-quality solutions that meet our clients' needs. Your expertise in Python, Docker, NoSQL, SQL, and Apache Airflow/Kafka will be crucial in driving our projects forward.

Essential Job Duties

  • Design, develop, test, and maintain software applications using Python.
  • Design, implement, and manage scalable MLOps pipelines and infrastructure.
  • Develop and manage containerized applications using Docker.
  • Work with NoSQL and SQL for database management and optimization.
  • Implement and manage data workflows using Apache Airflow and Kafka.
  • Automate the training, testing, and deployment of machine learning models.
  • Implement and manage APIs and ensure their scalability, reliability, and performance.
  • Implement and manage infrastructure as code and configuration management tools.
  • Collaborate with data scientists to integrate machine learning models into applications.
  • Design and develop microservices architecture for scalability and efficiency.
  • Write clean, scalable, and efficient code.
  • Participate in the entire software development lifecycle, from concept and design to testing and deployment.
  • Troubleshoot, debug, and upgrade existing software.
  • Provides leadership, support and guidance to all AIMS Team Members.
  • Ensures and promotes the development of the AIMS team through coaching, training, and leadership development.
  • Provides informal feedback on an ongoing basis and formal feedback in the annual performance evaluation process to identify and develop talent.

Minimum Requirements

  • Top Secret Security Clearance with SCI eligibility.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 2-4 years of experience in software development, MLOps, DevOps, or related roles.
  • Proficiency in Python and experience with its frameworks.
  • Extensive knowledge of containerization and orchestration tools (Docker, Kubernetes).
  • Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI) and automated testing.
  • Experience with version control systems (Git, SVN).
  • Hands-on experience with NoSQL and SQL.
  • Proficient in using Apache Airflow for workflow management.
  • Proficiency with cloud platforms (AWS, Azure, Google Cloud).
  • Solid understanding of software architecture and design patterns.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork skills.
  • Ability to work independently and manage multiple tasks efficiently.
  • Experience with agile development methodologies.

Preferred Qualifications

  • Familiarity with event-driven architecture and messaging systems (Kafka, RabbitMQ).
  • Experience with feature stores and model registries.
  • Familiarity with big data technologies (Spark, Hadoop)
  • Knowledge of monitoring and logging tools for machine learning models (Prometheus, Grafana, ELK stack).
  • Significant experience with petabyte scale data sets.
  • Significant experience with large-scale, multi-INT analytics.

Work Environment

  • Working conditions are normal for an office environment.
  • Fast paced, deadline-oriented environment.
  • May require periods of non-traditional working hours including consecutive nights or weekends (if applicable).

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

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