OverviewAre you ready to work on cutting-edge Identity, Credential, and Access Management (ICAM) systems that support mission-critical operations? BigBear.ai is seeking a Systems Engineer with an active TS/SCI with Poly to join our team and provide Software Development Lifecycle (SDLC) support for the GATEKEEPER product. This is your opportunity to collaborate with developers, QA, DevOps, and system engineers to build and manage GATEKEEPER product installations for DoD customers. If you thrive in dynamic environments, enjoy solving complex challenges, and want to make a tangible impact, we want to hear from you!
Why This Role Matters
As a Systems Engineer, you'll play a critical role in ensuring the success of the Middleware III Bridge contract, which delivers ICAM system services to DoD customers. Your expertise will help shape the future of secure access management, making a real difference in national security.
What you will doIn this role, you'll:
- Support the SDLC: Collaborate with development and QA teams to assist with system testing, validation, and performance tuning to ensure production readiness.
- Ensure Security Compliance: Maintain system compliance with security best practices and organizational standards.
- Document & Communicate: Develop and maintain detailed documentation for system configurations, processes, and support procedures. Clearly communicate architecture and design concepts to stakeholders.
- Collaborate Cross-Functionally: Work closely with developers, testers, and product owners to align system behavior with business and technical requirements.
- Monitor & Optimize Systems: Implement and maintain system monitoring, logging, and alerting to proactively identify and resolve issues.
- Leverage Cloud Technologies: Utilize cloud platforms and technologies to enhance system performance and scalability.
What you need to have- Clearance: TS/SCI with Polygraph (required).
- Experience: 10+ years of Systems Engineering experience in programs and contracts of similar scope, type, and complexity.
- Education: Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or a related discipline from an accredited college or university. (Five years of additional Systems Engineering experience may be substituted for a bachelor's degree, for a total of 15 years.)
What We'd Like You to Have
- ICAM Expertise: Knowledge of ICAM capabilities and integration.
- Soft Skills: Excellent oral and written communication skills, with the ability to clearly communicate architecture and design concepts.
- Team Collaboration: Comfortable working in a team environment and collaborating cross-functionally.
- Organizational Skills: Strong time management and organizational skills, with the ability to multi-task and work independently to meet deadlines.
- Cloud Technologies: Familiarity with cloud platforms and technologies, including AWS Foundational Level Certification.
- CI/CD Pipelines: Experience with GitLab CI/CD pipelines.
What we'd like you to haveWhat We'd Like You to Have
- ICAM Expertise: Knowledge of ICAM capabilities and integration.
- Soft Skills: Excellent oral and written communication skills, with the ability to clearly communicate architecture and design concepts.
- Team Collaboration: Comfortable working in a team environment and collaborating cross-functionally.
- Organizational Skills: Strong time management and organizational skills, with the ability to multi-task and work independently to meet deadlines.
- Cloud Technologies: Familiarity with cloud platforms and technologies, including AWS Foundational Level Certification.
- CI/CD Pipelines: Experience with GitLab CI/CD pipelines.
Desired Skills:
- Docker expertise (Kubernetes familiarity is a bonus).
- Terraform and CloudFormation (CDK).
About BigBear.aiBigBear.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.
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