Senior Software Engineer (ML)

BigBear.ai, Inc.
Columbia, MD, United States
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) JavaScript (Programming Language) Agile Methodology Amazon Web Services Business Analytics Applications Software Applications Automation of Tests Microsoft Azure C Sharp (Programming Language) C++ (Programming Language) Cloud Computing Software Documentation
+26 more
Code Review Continuous Delivery Continuous Integration Python (Programming Language) Enterprise Messaging Systems Object-Oriented Software Development Scrum Methodology Regression Testing Service-Oriented Architecture Software Engineering Software Systems Data Streaming TypeScript Web Applications Google Cloud Software Troubleshooting Solid Principles Kubernetes Infrastructure Automation Frameworks Information Technology Deployment Automation Functional Programming Restful APIs Docker Programming Languages Microservices

Job description

BigBear.ai is seeking a Senior Software Engineerto create custom analytics to perform at scale. The software engineer will work closely with data scientists and end users to develop innovative analytic tools to further discovery and tradecraft around critical global challenges, then deliver innovative solutions focused on operationalizing data science. What you will do

  • 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.
  • Perform other related duties consistent with the position and program requirements.

Requirements

  • Bachelor’s degree in computer science, software engineering, information technology
  • 8 years of professional software development experience, or an equivalent combination of education and experience.
  • Clearance:TS/SCI w/Poly
  • Demonstrated experience developing and delivering production-quality software.
  • Strong proficiency in at least one programming language, such as Java, C#, C++, Python, JavaScript, or TypeScript.
  • Experience with software design principles, object-oriented or functional programming, and common development patterns.
  • Experience with source-control systems, code reviews, automated testing, and defect tracking.
  • Experience analyzing requirements and converting them into well-engineered software solutions.
  • Ability to troubleshoot complex technical issues independently and collaboratively.
  • Understanding of software development lifecycle processes and Agile development practices.
  • Strong written and verbal communication skills.
  • Ability to work effectively in a collaborative, multidisciplinary team environment.

What we’d like you to have

  • 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 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on diversityjobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:12 min

Navigating technical clarity as a global black belt

Chris Heilmann +2 · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · WWC 2022

1:00 min

Misconceptions about TypeScript safety capabilities

Simone Sanfratello · JS Congress

1:20 min

Identifying multi-disciplinary talent for developer experience engineering roles

Hazal Mestci +1 · Coffee With Developers

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · WWC Europe 2026

Videos

See all

Related articles

See all