Cloud Infrastructure Engineer

Talentify; McLean (VA); Remote; USD 150,000 - 190,000; Full time

Job summary

BigBear.ai is hiring a Cloud Infrastructure Engineer to design, provision, and operate core cloud infrastructure in AWS GovCloud or Azure Government, ensuring IL5 compliance and secure, scalable foundations.

You will collaborate with data engineering and platform teams, implement Terraform IaC, manage Kubernetes, and support DR, backup, and continuous monitoring in a remote-first environment. Remote with possible DMV travel.

Qualifications

• Bachelor's degree in a technical field with 8–10 years of cloud infra experience.
• Active TS security clearance and ability to obtain AWS/Azure certs within a month.
• Strong IaC (Terraform) and Kubernetes experience in gov cloud environments.

Responsibilities

• Design, provision, and operate core cloud infrastructure (compute, storage, networking) in AWS GovCloud or Azure Government.
• Own network design (VPC/VNet, subnets, routing, security groups) and private connectivity patterns.
• Collaborate with data engineering and platform teams to ensure performant, highly available database services.
• Support Kubernetes infra needs and IL5-aligned controls, monitoring, and incident readiness.

Skills

Terraform IaC

Kubernetes

GovCloud / Azure Government

Networking & VPC

Security & RMF

Cloud infrastructure design

Education

Bachelor's degree in a technical field

Tools

AWS GovCloud

Azure Government

Terraform

Kubernetes

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.
• 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

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.

• 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
• 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.