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Full-time
bachelor degree, postgraduate degree
Posted 17d ago
Apply by Aug 25
~40 hrs/week
Responsibilities
Design, provision, and operate core cloud infrastructure including compute, storage, and networking in AWS GovCloud or Azure Government. Collaborate with platform and data engineering teams to ensure database services are performant, secure, and compliant with IL5 requirements.
Requirements
Requires a Top Secret security clearance and an active Security+ certification. Candidates must have 5+ years of cloud infrastructure engineering experience and strong proficiency in Terraform and Kubernetes.
Full job description
Residency
All applicants must currently reside in the United States
Overview
Bigbear.ai is hiring Cloud Infrastructure Engineers to build and maintain the underlying government cloud infrastructure that supports the program’s polyglot database stack. Working alongside the DevOps/Platform Engineer (who owns CI/CD and the event backbone), this role owns the compute, storage, and networking foundation that everything else depends on, ensuring the environment is scalable, secure, and compliant for IL5 operations.
This is a remote role however there may be travel expectations within the DMV area.
What you will do
Design, provision, and operate core cloud infrastructure (compute, storage, networking) in AWS GovCloud or Azure Government.
Build and maintain infrastructure that supports a polyglot data platform (relational, graph, document, and object storage services), including environment sizing and scaling patterns.
Implement infrastructure as code (Terraform) for repeatable, auditable provisioning across dev/test/prod environments.
Own network and connectivity design and operations (VPC/VNet configuration, subnets, routing, security groups/NACLs, private connectivity patterns, DNS).
Partner with data engineering and platform teams to ensure database services are performant, highly available, and recoverable (backup/restore, replication, and DR patterns).
Support Kubernetes infrastructure needs (cluster foundations, node groups, storage classes, ingress/egress patterns) in coordination with the platform team.
Implement and maintain IL5-aligned infrastructure controls and evidence (configuration baselines, hardening, vulnerability remediation, and continuous compliance tooling).
Establish operational readiness: monitoring/alerting for infrastructure components, runbooks, capacity planning inputs, and incident support.
What you need to have
Clearance: Must maintain a Top Secret security clearance
Active Security+ Clearance
Ability to obtain AWS Certificate (Cloud Practitioner, Solutions Architect: Associate/Professional) within one month after onboarding
Bachelor's Degree and 8 to 10 years of experience; Master's Degree and 6 to 8 years of experience; (in lieu of Bachelor’s degree, 6 additional years of relevant experience)
5+ years of cloud infrastructure engineering experience, including delivery and operations in a government cloud environment
Demonstrated experience provisioning and operating multi-service infrastructure that supports multiple database paradigms (relational, graph, document, and object storage)
Strong infrastructure as code skills (Terraform) and configuration management discipline
Hands-on experience with AWS GovCloud or Azure Government, including secure networking patterns
Solid Kubernetes foundation knowledge (infrastructure integration, storage/networking support, and cluster-adjacent services)
Experience working in compliance-driven environments, including IL5 requirements and associated compliance tooling/practices
Strong familiarity with security remediation and with the Risk Management Framework (RMF) process.
IL5 compliance tooling and continuous monitoring practices
What we'd like you to have
Infrastructure ownership: accountable for stable, secure foundations and clean handoffs to platform and application teams.
Automation-first: designs for repeatability and auditability through IaC.
Security-minded: builds least-privileged, segmented, compliant environments by default.
Collaborative delivery: works smoothly with DevOps/Platform, data engineering, and security stakeholders
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
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.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.
Related keywords
Cloud InfrastructureAWS GovCloudAzure GovernmentTerraformKubernetesInfrastructure as CodeNetworkingVPCVNetIL5Risk Management FrameworkRMFDevOpsDatabaseSecurity+Top Secret Clearance
BigBear.ai fuses artificial intelligence with deep mission expertise, empowering decision-makers and operators to act with speed, precision, and confidence. BigBear.ai is at the forefront of innovation for defense and national security and is committed to supporting the critical infrastructure driving our nation's competitive edge. We deploy cutting-edge Al, machine learning, and computer vision solutions to defend critical operations and win with decision advantage.
Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI.
Offices: 7950 Jones Branch Dr, McLean, Virginia 22102, US · 3891 Ranchero Dr, Suite 50, Ann Arbor, MI 48108, US · 14399 Penrose Pl, Chantilly, Virginia 20151, US · 1000 Research Park Blvd. Suite 320 Charlottesville, VA 22911, Suite 320, Charlottesville, VA 22911, US
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