Senior Software Engineer

In this hands-on role you will apply relevant experience to evaluate, make recommendations, implement, and oversee development and deployment activities. The ideal candidate will have knowledge of but not limited to Angular, .Net, SQL Server, and Gitlab/GitHub/bitbucket CI/CD.

What you will do

• Feature development & maintenance
• Implement UI components in Angular, SCSS, and PrimeNG; build REST services in C#/.NET.
• Write unit, integration, and end-to-end tests; create mocks and stubs as needed.
• API & data-layer integration
• Design and consume REST endpoints; optimize database access using SQL Server (stored procs, indexing).
• Work with ETL engineers to pull data from data repositories and other DoD feeds into data model.
• DevSecOps & CI/CD
• Contribute pipeline definitions in Git CI, containerize services with Docker, and write Helm values for Kubernetes deployments.
• Address static-code scans, container vulnerability findings, and DISA STIG hardening tasks.
• Code quality & collaboration
• Participate in peer reviews, pair-programming, and backlog refinements; follow clean-code and SOLID principles.
• Document technical decisions, API contracts, and “run books” for operational hand-off.
• Troubleshooting & performance tuning
• Profile front-end load times, tune .NET memory/CPU usage, and optimize SQL queries to meet IL5 performance SLAs.
• Investigate production issues, create post-mortems, and implement corrective actions.

• SECRET clearance
• Bachelor’s degree in Computer Science, Engineering, or related discipline (equivalent experience considered).
• 5+ years professional software development with full-stack responsibility.
• Hands-on expertise in:
• Angular and modern TypeScript, RxJS, and component-driven architecture.
• C#/.NET 8, Web API, Entity Framework for data access.
• SQL Server schema design, query optimization, and stored procedures.
• Git/GitLab, branching strategies, and merge-request workflows.
• Docker fundamentals and at least basic familiarity with Kubernetes or other container orchestration.
• Working knowledge of automated testing and CI/CD concepts.

What we’d like you to have

• Ability to obtain and maintain a DoD TS/SCI clearance (existing clearance a plus).
• Experience with military or defense systems
• Experience with cloud platforms specifically AWS
• Database management systems, including SQL Server
• API development and integration
• Experience with cloud-based development and deployment
• Strong communication skills for collaborating with diverse teams

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 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.