AI/ML Platform Integration Engineer — TS/SCI Cleared

Bitwise

Maryland

On-site

USD 230,000 - 271,000

Full time

3 days ago
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Benefits offered by this job

Top salaries
PTO options
Paid holidays
401(k) match
Comprehensive benefits
Education assistance

Job summary

Bitwise is seeking a Software Engineer to design, develop, and integrate solutions for the intelligence community and DoD. You will work with data scientists, software engineers, and systems engineers to deploy AI/ML technologies into production systems.

The role emphasizes containerization with Kubernetes and Docker, full-stack backend focus, and collaboration with distributed teams. Active TS/SCI with polygraph is required.

Qualifications

  • 8+ years of experience as a software engineer or equivalent education/experience
  • Production-grade software development experience in Python and JVM languages
  • Experience with service containerization and CI/CD using Kubernetes and Docker
  • Familiarity with AI technologies and LLMs
  • Proficiency with Git
  • Strong test suites and coverage for internal software
  • Experience with Atlassian tools (Jira, Confluence)
  • Experience with cybersecurity data analysis and SIGINT systems
  • Experience with production CNO capabilities and distributed teams

Responsibilities

  • Build upon Kubernetes and Docker experience to containerize and deploy services
  • Develop new software solutions and support existing ones
  • Leverage DevOps and CI/CD for reliable, automated deployments
  • Apply AI/ML to solve complex technical problems
  • Elicit requirements from stakeholders for AI/ML applicability
  • Collaborate with cross-functional teams to deliver production-grade software
  • Maintain rigorous testing standards and coverage

Skills

Python
Kubernetes
Docker
CI/CD
AI/ML
Git
Testing
Jira/Confluence
SIGINT
CNO
Kotlin
JUnit/pytest
Distributed teams
Full-stack backend

Education

Bachelor's degree in a technical discipline

Tools

JVM languages

Job description

Bitwise is seeking a Software Engineer to design, develop, and integrate solutions for the intelligence community and DoD. You will work with data scientists, software engineers, and systems engineers to deploy AI/ML technologies into production systems.

The role emphasizes containerization with Kubernetes and Docker, full-stack backend focus, and collaboration with distributed teams. Active TS/SCI with polygraph is required.

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