BigBear.ai, Inc.

Cloud Infrastructure Engineer

BigBear.ai, Inc.$120K — $145K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Top Secret security clearance
  • Active Security+ Clearance
  • Ability to obtain AWS certification within one month of onboarding
  • Bachelor's Degree with 8-10 years of experience, or Master's with 6-8 years
  • 5+ years cloud infrastructure engineering in government cloud
  • Experience with multi-service infrastructures supporting diverse database types
  • Strong Terraform skills for infrastructure as code

Responsibilities

  • Design and operate cloud infrastructure in AWS GovCloud or Azure Government
  • Maintain infrastructure for a polyglot data platform
  • Implement infrastructure as code for provisioning across environments
  • Own network design and operations for secure connectivity
  • Collaborate with data engineering for database performance and recovery
  • Support Kubernetes infrastructure needs in alignment with the platform team
  • Establish operational readiness with monitoring and incident support

Benefits

  • Remote role with travel expectations in the DMV area
  • Opportunity to further develop AWS certifications
  • Collaborative work environment with diverse technical teams
  • Focus on automation and security-minded infrastructure practices
  • Engagement with compliance-driven government projects
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 will 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.
  • IC/DoD experience

Tools & Technical Environment

  • AWS GovCloud or Azure Government
  • Terraform
  • Kubernetes
  • Networking/VPC configuration (routing, segmentation, connectivity)
  • 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, 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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