Senior Cloud Solutions Engineer Job Bethesda area,Maryland USA,IT/Tech

Architect, implement, and evolve Azure cloud solutions supporting ChIRP and modern AI application architectures
Support multimodal LLMs, Retrieval-Augmented Generation, 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 and evaluate technical alternatives
Translate 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, and AI services
Develop and maintain Terraform modules, scripts, configuration, and automation for cloud infrastructure
Codify engineering standards, reduce manual effort, and improve scalability, reliability, and operational efficiency
Design and integrate Dev Ops and CI/CD capabilities for infrastructure and application deployment
Implement automated testing, security scanning, application health validation, and lifecycle management
Monitor and optimize application and infrastructure performance, reliability, security, and cost
Use logging, telemetry, alerting, incident response, and cloud resource governance
Troubleshoot complex issues across application and infrastructure layers
Serve as senior technical resource and technical lead for the cloud architecture supporting ChIRP
Apply second-order thinking to architectural decisions and communicate technical tradeoffs and recommendations
Mentor engineers and support security, compliance, and ATO activities
Work with a Cloud Dev Ops team supporting NIH’s intramural research community through GDIT’s technology and professional services

Requirements

BS/BA and 8+ years of relevant IT experience, or equivalent experience
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
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
Experience developing custom Terraform 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 , RBAC, conditional access, certificates, secrets, encryption, logging, and security controls
Experience with application development life cycles and Dev Ops/CI/CD practices
Strong architecture, troubleshooting, consulting, and communication skills
Demonstrated ability to independently own complex solutions, translate requirements into technical architectures, evaluate downstream impacts and tradeoffs, mentor engineers, and collaborate with technical and non‑technical stakeholders
Ability to obtain and maintain a Public Trust
Ability to provide onsite fingerprinting at a designated facility
Preferred:
Experience with Azure AI Foundry, Azure OpenAI, ChatGPT, Gemini, vector search, RAG, AI agents, MCP, or comparable platforms
Preferred:
Strong software development and automation experience using Python, Power Shell, Type Script/JavaScript, or similar languages
Preferred:
Relevant Microsoft Azure, AI, Terraform, Dev Ops, or architecture certifications
Preferred:
Experience supporting scientific research, federal…