Senior Azure Cloud Integration Engineer

Leidos•Rockville, MD

9d•$107,900 - $195,050

About The Position

Leidos is seeking a Senior Cloud Integration Engineer with deep Azure expertise to integrate cloud services across Azure and Microsoft 365 GCC environments, enabling secure, scalable, and compliant solutions for development, testing, and enterprise modernization. This is an Azure-primary role supporting secure integration among Azure, AWS, and on-premises systems. The position also requires hands-on experience integrating AI capabilities into cloud applications and engineering workflows. The engineer will work with Azure administration, identity services, Microsoft 365, multi-tenant environments, and AI service integration. The role includes integrating Azure and Microsoft 365 GCC/GCC-High capabilities, managing Azure resources, supporting hybrid identity, applying security and governance practices, and collaborating with engineering teams on automation and AI-enabled solutions. Candidates must be a U.S. Citizen or U.S. Person who has lived in the United States for the past three consecutive years. A current Public Trust and local residence in the DC Metro area for onsite work if needed are preferred. The listed pay range is $107,900–$195,050; actual compensation may depend on factors including responsibilities, education, experience, skills, internal equity, and market data.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field and eight years of general IT or IT engineering experience; alternatively, six additional years of general IT or IT engineering experience may substitute for the bachelor’s degree.
Demonstrated proficiency with Azure Portal, Azure CLI, PowerShell, Microsoft Graph, and infrastructure as code tools such as ARM templates or Terraform.
Hands-on experience supporting Azure resource management, monitoring usage, enforcing governance, and optimizing integrated cloud workloads.
Deep knowledge of Azure services, Microsoft 365, identity platforms, and cloud security configurations.
Hands-on experience integrating AI or generative AI services into applications or automation workflows, including API integration, prompt design, secure data handling, and validation of AI-generated outputs.
U.S. Citizen or U.S. Person who has lived in the United States for the past three consecutive years.

Nice To Haves

Current Public Trust.
Local to the DC Metro area for onsite work if needed.
Exposure to AWS resource management.
Certifications in Azure Administration, Azure Development, or Power Platform (Fundamentals, Associate, Developer, or Architect).
Experience integrating cloud services within HHS or similar federal agencies.
Experience supporting or integrating solutions across Azure commercial, GCC, and GCC-High environments.
Background evaluating and implementing emerging Azure and AI technologies, particularly those related to identity, collaboration, and automation.
Experience implementing AI-enabled solutions in federal or regulated environments, including familiarity with model evaluation, RAG, and applicable data protection and authorization requirements.
Experience configuring and managing AWS resources such as EC2, S3, VPC, Lambda, and CloudWatch; proficiency with the AWS Management Console, AWS CLI, and CloudFormation.
Experience implementing AWS IAM, least-privilege access, encryption, secrets management, and audit logging for AWS workloads and cross-cloud integrations.
Experience designing or supporting secure integrations across Azure, AWS, and on-premises environments.
AWS certifications, such as Solutions Architect or Development.

Responsibilities

Integrate Azure services and Microsoft 365 GCC/GCC-High capabilities into enterprise environments for application development, testing, and production readiness.
Configure and manage Azure resources, including virtual machines, storage accounts, networking components, and resource groups.
Support hybrid identity environments, including Azure AD/Entra ID and AD Connect, to maintain synchronization and access between on-premises and cloud systems.
Support secure cross-cloud integration among Azure, AWS, and on-premises systems.
Implement identity-driven integration using Entra ID, MFA, SSO, RBAC, and role-based access models.
Apply cloud security practices across Azure, Microsoft 365, and AI services to support governance, data protection, and compliance.
Support integration of SaaS, PaaS, and IaaS resources across Azure commercial, GCC, and GCC-High environments.
Collaborate with developers, architects, and engineering teams to design and test integrated Azure services, AI-enabled applications, and multi-cloud solutions.
Automate cloud platform documentation, provisioning, and support workflows using Azure tools, scripting, infrastructure as code, and Power Platform automation.
Evaluate emerging Azure, AI, and SaaS technologies for continuous improvement and integration opportunities.
Integrate AI and generative AI services, such as Azure OpenAI, into enterprise applications and workflows using secure APIs and approved cloud environments.
Develop and test AI-assisted solutions for document processing, information retrieval, and workflow automation, including prompt design and RAG where appropriate.
Apply data privacy controls, access restrictions, output validation, and human review to AI solutions; evaluate response quality, latency, and cost before production use.