BigBear.ai
Overview
BigBear.ai is seeking a
Senior Microsoft Azure Engineer
to lead the design, implementation, and management of secure, scalable cloud solutions within the Microsoft Azure ecosystem. This role is critical to modernizing infrastructure, enabling cloud-native applications, and supporting mission-critical services in a hybrid or fully cloud environment. What You Will Do
Design and implement Azure IaaS, PaaS, and SaaS solutions to support enterprise workloads and digital transformation initiatives Develop and manage cloud infrastructure using Infrastructure-as-Code (IaC) tools such as ARM templates, Bicep, or Terraform Collaborate with security, networking, and DevOps teams to enforce governance, compliance, and automation standards Provide advanced troubleshooting and performance tuning across Azure services (VMs, Azure Functions, AKS, App Services, etc.) Support hybrid environments through services such as Azure Arc, Azure Stack, and ExpressRoute Manage identity and access using Azure Active Directory, Conditional Access, and RBAC Optimize cloud spend and usage through FinOps practices and cost management tools Mentor junior engineers and participate in architecture reviews and strategic planning What You Need To Have
Bachelor’s degree in Computer Science, Information Technology, or a related field Must have and maintain a TS/SCI clearance 5+ years of experience in systems engineering, with at least 3+ years focused on Microsoft Azure Expert knowledge of core Azure services, including compute, storage, networking, identity, and security Proficient in scripting and automation (e.g., PowerShell, Azure CLI, ARM/Bicep/Terraform) Strong understanding of cloud security best practices and regulatory compliance frameworks (e.g., FedRAMP, NIST, HIPAA) Experience with monitoring and logging tools such as Azure Monitor, Log Analytics, and Sentinel What We'd Like You To Have
Microsoft Certified: Azure Solutions Architect Expert or equivalent certification Experience in hybrid and multi-cloud environments (e.g., integrating Azure with on-prem or AWS) Familiarity with DevOps pipelines using Azure DevOps or GitHub Actions Experience supporting mission-critical or government workloads Active security clearance or ability to obtain one 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.
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BigBear.ai is seeking a
Senior Microsoft Azure Engineer
to lead the design, implementation, and management of secure, scalable cloud solutions within the Microsoft Azure ecosystem. This role is critical to modernizing infrastructure, enabling cloud-native applications, and supporting mission-critical services in a hybrid or fully cloud environment. What You Will Do
Design and implement Azure IaaS, PaaS, and SaaS solutions to support enterprise workloads and digital transformation initiatives Develop and manage cloud infrastructure using Infrastructure-as-Code (IaC) tools such as ARM templates, Bicep, or Terraform Collaborate with security, networking, and DevOps teams to enforce governance, compliance, and automation standards Provide advanced troubleshooting and performance tuning across Azure services (VMs, Azure Functions, AKS, App Services, etc.) Support hybrid environments through services such as Azure Arc, Azure Stack, and ExpressRoute Manage identity and access using Azure Active Directory, Conditional Access, and RBAC Optimize cloud spend and usage through FinOps practices and cost management tools Mentor junior engineers and participate in architecture reviews and strategic planning What You Need To Have
Bachelor’s degree in Computer Science, Information Technology, or a related field Must have and maintain a TS/SCI clearance 5+ years of experience in systems engineering, with at least 3+ years focused on Microsoft Azure Expert knowledge of core Azure services, including compute, storage, networking, identity, and security Proficient in scripting and automation (e.g., PowerShell, Azure CLI, ARM/Bicep/Terraform) Strong understanding of cloud security best practices and regulatory compliance frameworks (e.g., FedRAMP, NIST, HIPAA) Experience with monitoring and logging tools such as Azure Monitor, Log Analytics, and Sentinel What We'd Like You To Have
Microsoft Certified: Azure Solutions Architect Expert or equivalent certification Experience in hybrid and multi-cloud environments (e.g., integrating Azure with on-prem or AWS) Familiarity with DevOps pipelines using Azure DevOps or GitHub Actions Experience supporting mission-critical or government workloads Active security clearance or ability to obtain one 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.
#J-18808-Ljbffr