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Bigbear.ai

Operational AI platform for decision support

Senior Software Engineer - ML

Software EngineeringConfirmed live in the last 24 hours
Full-timeColumbia, MD, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in computer science, software engineering, or information technology is required.
  • Eight years of professional software development experience, or an equivalent combination of education and experience, is required.
  • An active TS/SCI clearance with polygraph is required.
  • Demonstrated experience developing and delivering production-quality software is required.
  • Strong proficiency in at least one programming language, such as Java, C#, C++, Python, JavaScript, or TypeScript, is required.
  • Experience with software design principles, object-oriented or functional programming, and common development patterns is required.
  • Experience with source-control systems, code reviews, automated testing, and defect tracking is required.
  • Experience analyzing requirements and converting them into well-engineered software solutions is required.
  • Ability to troubleshoot complex technical issues independently and collaboratively is required.
  • Understanding of software development lifecycle processes and Agile development practices is required.
  • Applicants must currently reside in the United States.

Responsibilities

  • Design, implement, integrate, and maintain software applications and services.
  • Translate business, system, and customer requirements into technical solutions.
  • Develop clean, maintainable, well-documented, and testable code.
  • Participate in architecture, design, and code reviews.
  • Analyze technical problems and implement effective solutions.
  • Develop unit, integration, system, and automated regression tests.
  • Troubleshoot defects, performance issues, deployment problems, and production incidents.
  • Collaborate with cross-functional teams to define interfaces, data flows, and integration requirements.
  • Support continuous integration and continuous delivery practices.
  • Contribute to software documentation, technical procedures, and engineering standards.
  • Identify opportunities to improve system performance, reliability, security, and maintainability.
  • Participate in Agile ceremonies, sprint planning, backlog refinement, and technical estimation.
  • Mentor less-experienced engineers through design guidance, code reviews, and knowledge sharing.
  • Communicate technical status, risks, dependencies, and recommendations to project and technical leadership.
  • Support system deployments, operational readiness activities, and sustainment as needed.

Desired Qualifications

  • Experience developing distributed, cloud-based, web-based, embedded, or mission-critical systems.
  • Experience with RESTful APIs, microservices, messaging systems, or service-oriented architectures.
  • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
  • Experience with Docker, Kubernetes, infrastructure as code, or automated deployment pipelines.

About the Company

Bigbear.ai

Operational AI platform for decision support

BigBear.ai builds operational AI software that helps organizations improve decision-making, cyber operations, and business agility. Its platform combines AI-driven analytics on an organization’s data with external inputs to give a full, real-time view of the environment, uncover new insights, and produce accurate predictions. The product works by integrating data from internal systems and external sources, applying advanced analytics to surface actionable intelligence, and enabling fast, informed actions in complex settings. What sets BigBear.ai apart is its depth of expertise in operational AI and its ability to optimize existing data with additional inputs, delivering data mining and predictive capabilities that go beyond traditional intelligence tools. Its goal is to help clients succeed in mission-critical environments—such as government intelligence, healthcare, and manufacturing—by improving efficiency, risk management, and operational performance.

Company size
501-1,000
Company stage
IPO
Headquarters
Tysons, VA
Founded
2020

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