Integrate AI/ML models into the Command Center platform via APIs, graph database layers, and automated pipelines
Develop and maintain data ingestion automation for new data sources directed by the Government
Build analytics features and data processing modules per platform architecture standards
Participate in sprint-based development cycles with code review, automated testing, and CI/CD deployment pipeline
Requirements
TS/SCI Eligible
Proficiency in Python, SQL, and at least one additional back-end language (Java, Scala, or Go); experience with data pipeline frameworks and relational/cloud data platforms (PostgreSQL, Snowflake, or equivalent)
Experience integrating ML models into production platforms and APIs
Familiarity with cloud-based analytics platforms, REST APIs, graph databases (Neo4j, Amazon Neptune, or equivalent), and data visualization tools
Experience in sprint-based development environments with code review, version control (Git), and DevOps-oriented release processes
Demonstrated DevOps practices: CI/CD pipeline design and maintenance (GitHub Actions, GitLab CI, Jenkins, or equivalent), containerization (Docker/Kubernetes), infrastructure-as-code, and automated testing/deployment workflows
Tech Stack
Cloud
Docker
Java
Jenkins
Kubernetes
Neo4j
Postgres
Python
Scala
SQL
TypeScript
Go
Benefits
Eleven Federal Holidays
Paid Time Off accrued each pay period
Parental Leave
Three medical plan choices with generous employer contribution
Dental and Vision Insurance
Company paid Short-Term and Long-Term Disability
Company paid Life and AD&D Insurance
401k with competitive matching and vesting schedule
Continuing education assistance
Short Term / Long Term Disability & Life Insurance
Medical, Dependent Care and Commuter Flexible Spending Accounts
Employee Assistance Program
Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)