ConductorOS Engineer

• Feature Development: Design, develop, and maintain core services within ConductorOS, focusing on scalability, interoperability, and low-latency performance in disconnected or contested environments
• Systems Integration: Build and refine common control interfaces and APIs that enable ConductorOS to communicate with a wide variety of third-party autonomous platforms and sensor suites
• Field-Driven Iteration: Work closely with the Product Delivery team to ingest field-derived requirements and "lessons learned" from operational environments, rapidly translating them into robust software features
• Architectural Excellence: Contribute to the evolution of the ConductorOS architecture, ensuring it remains resilient, modular, and capable of supporting complex AI-driven orchestration
• Collaborative Engineering: Participate in rigorous code reviews and collaborate across the "Conductor Delivery and Tech" teams to ensure seamless integration between the core product and specialized delivery requirements

• A Bachelor’s in Computer Science, Software Engineering, Information Technology, or related field with applicable experience is required. Applicable work experience may be considered in lieu of a degree.
• Excellent foundation in computer science, algorithms, and web services design
• Experience writing highly secure serverless cloud-based applications that leverage an Infrastructure as Code approach using AWS core technologies: Lambda, DynamoDB, API Gateway, Cognito, CloudWatch, etc...
• Basic understanding of Kubernetes and Docker containerization platforms.
• Professional experience in designing RESTful APIs and business logic using various programming languages: JavaScript, TypeScript, Java, Python
• Experience with front-end technologies and platforms, such as JavaScript, HTML5, and CSS3
• Familiar with system monitoring and observability tools and design.
• Quick problem-solving skills with exceptional aptitude and reasoning
• Familiar with user authentication and authorization between multiple systems, servers, and environments
• Proficient understanding of code versioning tools, such as Git.
• The ability to obtain and maintain government clearance
• This role will require some travel, 25-50% but closer to 25%

• Familiar with system monitoring and observability tools and design
• Proven work experience of 5-9 years in a similar or related field

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.