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# Cloud Solutions Engineer

- **Company:** General Dynamics Information Technology
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $130,000.0 - $167,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Engineering, Databases, Continuous Integration, DevOps, Internet Hosting Service, Identity and Access Management, Python (Programming Language), Routing, Windows PowerShell, Software Architecture, Role-Based Access Control, Cloud Services, Search Technologies, Software Deployment, Software Engineering, Systems Integration, TypeScript, Data Logging, Load Balancing, Large Language Models, Generative AI, Firewalls (Computer Science), AI Platforms, Information Technology, Data Delivery, Api Gateway, Terraform, GPT, Vulnerability Analysis
- **Published:** August 28, 2026
- **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/senior-cloud-solutions-engineer/10899104

## About the Role

Artificial Intelligence (AI), DevOps, Infrastructure As Code (IaC), Large Language Models (LLMs), Microsoft Azure, 8 + years of related experience, * 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.

## 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., * 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., Operates and maintains unmanned aircraft systems in remote and austere environments. Plans missions, briefs customers, monitors weather and airspace requirements, delivers flight and payload data, analyzes mission results, and completes reports. Performs system testing, troubleshooting, maintenance, inventory control, and customer support while coordinating with subject matter experts. Requires frequent deployment, physical outdoor work, an active Secret DoW clearance, and an FAA Class 2 medical certificate.
Top Skills: Faa Class 2 Medical CertificateIntegratorNetworkingNotamsRq-21ScaneagleSpinsUnmanned Aircraft Systems (Uas)
Boeing

UAS Operator 3 (Remote/Deployed)

2 Hours Ago
In-Office or Remote
Mid level
Mid level
Aerospace * Information Technology * Software * Cybersecurity * Design * Defense * Manufacturing
Operate and maintain unmanned aircraft systems during customer missions, including preflight planning, mission execution, full-motion video and payload data delivery, post-mission reporting, troubleshooting, maintenance, inventory control, and customer coordination. The role requires frequent deployment to remote or austere environments for four-to-six-month assignments, extensive travel, physical work outdoors, and an active Secret Department of War clearance.
Top Skills: Faa Class 2 Medical CertificateIntegratorNotamsRq-21ScaneagleSpinsUas

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With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

 * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
 * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
 * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
 * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
 * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute


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