Senior Cloud Solutions Engineer

About this role

Type of Requisition: Regular

Clearance Level Must Currently Possess: None

Clearance Level Must Be Able to Obtain: None

Public Trust/Other Required: NACI (T1)

Job Family: IT Infrastructure and Operations

Job Qualifications: Skills: Artificial Intelligence (AI), DevOps, Infrastructure As Code (IaC), Large Language Models (LLMs), Microsoft Azure Certifications: None Experience: 8 + years of related experience US Citizenship Required: No

Job Description: GDIT is looking for   a   Senior   Cloud   Solutions Engineer   to join our   National Institutes of Health (NIH)   CIT Hosting and Storage Services   Program   supporting   ChIRP , a custom generative AI platform   designed to support the NIH intramural research community .  

We are   seeking   a highly experienced and customer-focused cloud engineer to architect, build, and evolve secure, scalable, and reliable cloud solutions supporting generative AI and scientific research. Our ideal candidate combines deep Microsoft Azure   expertise   with a strong understanding of modern application architecture, AI/LLM technologies, infrastructure, networking, identity, security, automation, and DevOps practices.  

As a senior member of our Cloud DevOps team, this engineer will serve as a technical lead for the cloud architecture supporting   ChIRP   and its evolving capabilities. They will work closely with application developers, AI engineers, security teams, customers, and other stakeholders to translate application and research requirements into well-designed cloud solutions. The successful candidate will take ownership of complex solutions from architecture through implementation and operations, develop Infrastructure as Code and automation, and apply sound engineering judgment and   second-order   thinking to ensure technical decisions account for security, scalability, resiliency, performance, cost, maintainability, and long-term customer needs.  

Location : Remote working candidates will be considered; however the preference is for candidates to go onsite to Bethesda, MD 3 days out of the week. If you're within 60 miles of customer site, we would look for you to go onsite, as needed.

This role will require you to obtain and   maintain   a Public Trust and will require you to provide onsite fingerprinting at a designated facility.  This investigation may review personal and criminal behavior, financial conduct, foreign influence, as well as other adjudications.   

Responsibilities :  

• Architect, implement, and evolve Azure cloud solutions supporting   ChIRP   and modern AI application architectures, including multimodal LLMs, Retrieval-Augmented Generation (RAG), vector search, knowledge integration, agentic capabilities, MCP integrations, and distributed cloud AI services.  

• Partner with application developers, AI engineers, security teams, customers, and stakeholders to gather requirements, evaluate technical alternatives, and translate evolving application and scientific research needs into scalable cloud architectures and engineering plans.  

• Engineer end-to-end Azure solutions incorporating compute, storage, networking, identity and access management, security, APIs, data services, observability, AI services, and other cloud capabilities   required   to support the application.  

• Develop and   maintain   Terraform modules, scripts, configuration, and automation to provision and manage cloud infrastructure, codify engineering standards, reduce manual effort, and improve scalability, reliability, and operational efficiency.  

• Design and integrate DevOps and CI/CD capabilities supporting infrastructure and application deployment, automated testing, security scanning, application health validation, and lifecycle management.  

• Monitor and   optimize   application and infrastructure performance, reliability, security, and cost using logging, telemetry, alerting, incident response, and cloud resource   governance, while troubleshooting complex issues across application and infrastructure layers.  

• Serve as a senior technical resource for the solution, applying second-order thinking to architectural decisions, mentoring engineers, communicating technical tradeoffs and recommendations, and supporting security, compliance, and ATO activities.  

Required Qualifications :  

• BS/BA and 8+ years of relevant IT experience, or equivalent experience, including   significant experience   architecting and engineering cloud solutions in complex enterprise environments.  

• Deep hands-on Microsoft Azure experience across   compute , networking, storage, identity, security, monitoring, APIs, and application-hosting services, with experience designing scalable, resilient, and secure cloud architectures.  

• Experience implementing or supporting modern AI/LLM architectures and services, including Azure AI capabilities, vector search or databases, knowledge integration, RAG patterns, or comparable generative AI technologies.  

• Strong Infrastructure as Code and automation experience using Terraform and related technologies, including developing custom modules, contributing to shared Git-based codebases, and automating infrastructure deployment and operations.  

• Strong knowledge of cloud networking, identity and access management, and security, including   VNets , load balancing, API gateways, firewalls, routing, Entra ID, RBAC, conditional access, certificates, secrets, encryption, logging, and security controls.  

• Experience with application development lifecycles and DevOps/CI/CD practices, including automated infrastructure and application deployment, testing, security scanning, monitoring, and operational support.  

• Strong architecture, troubleshooting, consulting, and communication skills, with   demonstrated   ability to independently own complex solutions, translate requirements into technical architectures, evaluate downstream impacts and tradeoffs, mentor engineers, and collaborate effectively with technica

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