ConductorOS Engineer

Residency

All applicants must currently reside in the United States

Big Bear.ai is seeking a Conductor OS Engineer to support ongoing Conductor OS customer deployments. This position will be remote. This role is designed for a developer who wants to tackle the complex challenges of multi-domain command-and-control, edge computing, and real-time AI integration. The responsibilities include working as part of an agile team to deliver new capabilities while ensuring high performance and responsiveness to our clients, and collaborating with our partners.

This position will require some travel for delivery and participation in multi-domain experiments and exercises.

• Feature Development:
  Design, develop, and maintain core services within Conductor OS, 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 Conductor OS 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 Conductor OS 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, Cloud Watch, etc...
• Basic understanding of Kubernetes and Docker containerization platforms.
• Professional experience in designing RESTful APIs and business logic using various programming languages:
  JavaScript, Type Script, 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

Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.

Big Bear.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, Big Bear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow Big Bear.ai

on Linked In:  and X: @Big Bearai.

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