BigBear.ai, Inc.

Principal Software Engineer

BigBear.ai, Inc.$150K — $180K *
Aerospace & Defense
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI with Poly clearance required
  • Bachelor's in Computer Engineering/Computer Science or related field plus 12 years of software engineering experience (or 16 years without a degree)
  • Hands-on experience with Java/Spring Boot applications, including RESTful APIs and microservices
  • Expertise in NoSQL databases with experience in data modeling and optimization
  • Proven troubleshooting skills in production environments across application and integration layers

Responsibilities

  • Design and maintain Java/Spring Boot microservices and REST APIs for authentication and authorization
  • Model and optimize NoSQL data stores for performance in low-latency workloads
  • Lead incident responses and troubleshoot production issues effectively
  • Influence system design decisions involving hardware and software considerations
  • Develop and maintain automated tests and CI/CD pipelines in collaboration with DevOps teams
  • Mentor junior engineers and contribute to code reviews and documentation

Benefits

  • Telework options available after onboarding
  • Opportunities for professional growth through mentorship
  • Collaborative team environment with cross-disciplinary interactions
  • Engagement in mission-critical projects impacting enterprise system reliability
Full Job Description
Residency

All applicants must currently reside in the United States

Overview

BigBear.ai is seeking a Principal Software Engineer that will design and maintain the core middleware that powers authentication, authorization, and mission-critical integration services used across the customer site.Why this role matters You'll own and improve middleware that secures and connects key systems. Your work will directly affect system reliability, developer productivity, and user access across the enterprise.

What you will do

  • Design, implement, and maintain Java/Spring Boot microservices and REST APIs that handle authentication, authorization, and other middleware concerns.
  • Model, query, and optimize NoSQL data stores and integrate them with Spring Boot apps for low-latency production workloads.
  • Troubleshoot production issues across application, database, and integration layers; lead incident response and produce durable fixes.
  • Contribute to system design decisions including hardware/software trade-offs and reuse vs. new development (COTS/GOTS).
  • Write and maintain automated tests, CI/CD pipelines, and deployment artifacts; collaborate with DevOps/infrastructure teams.
  • Review code, produce design documentation, and mentor less-experienced engineers.

What you need to have

  • An active TS/SCI with Poly clearance
  • Bachelor's degree in Computer Engineering, Computer Science, or related field plus 12+ years of software engineering experience. An additional 4 years of software engineering experience may be substituted for the degree (total 16 years).
  • Proven, hands-on experience developing and maintaining Java/Spring Boot applications: RESTful APIs, microservices, dependency injection, configuration management, and production troubleshooting.
  • Hands-on experience with NoSQL databases: data modeling, querying, indexing, performance optimization, and integrating NoSQL stores with Spring Boot.

What we'd like you to have

  • Familiarity with MongoDB: document modeling, queries, indexes, aggregation, and Spring Data MongoDB.
  • Experience integrating applications with LDAP/Active Directory, including user authentication, authorization, directory lookups, and Spring Security/LDAP.
  • Strong understanding of REST APIs, distributed systems, application security patterns, and enterprise application architecture.
  • Experience with automated testing, CI/CD pipelines, Git, Maven, and production deployment environments.
  • Ability to troubleshoot complex application, database, and integration issues; proven collaborator across development and infrastructure teams.

Working conditions & expectations
  • Telework possible after you're established on the team (onboarding period onsite or hybrid may be required - will be discussed during screening).

Pay transparency

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.

About BigBear.ai, Inc.

BigBear.ai is a leading provider of artificial intelligence and machine learning solutions that enable businesses to make better decisions by automating and augmenting their data analysis capabilities. The company's platform leverages advanced algorithms and data analytics tools to help organizations extract insights from large and complex data sets, and to develop predictive models that can be used to optimize business processes and improve operational efficiency. BigBear.ai's solutions are used by a wide range of industries, including defense, intelligence, finance, healthcare, and energy.
Learn more about BigBear.ai, Inc.
Size
200 employees
Market Cap
$90.6 million
Industry

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