Senior Cloud Solutions Engineer

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 technical and non-technical stakeholders.

Preferred Qualifications:

• Experience designing and integrating generative AI solutions using technologies such as Azure AI Foundry, Azure OpenAI, ChatGPT, Gemini, vector search, RAG, AI agents, MCP, or comparable AI platforms and integration patterns.

• Strong software development and automation experience using Python, PowerShell, TypeScript/JavaScript, or similar languages to develop APIs, integrations, automation, and supporting cloud services.

• Relevant Microsoft Azure, AI, Terraform, DevOps, or architecture certifications and experience supporting scientific research, federal government, healthcare, life sciences, or similarly regulated environments.

GDIT IS YOUR PLACE:


At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities

• Support: An internal mobility team focused on helping you achieve your career goals

• Rewards: Full benefits, wellness programs, 401K matching, competitive salary, and paid time off.

• Community: Award-winning culture of innovation and a military-friendly workplace

#GDITFedHealthJobs #NIHCIT


The likely salary range for this position is $129,813 - $166,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:
40

Travel Required:
Less than 10%

Telecommuting Options:
Remote

Work Location:
Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at
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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans