AI Cloud Platform Engineer

🕒 August 11

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $114.6k - $252.1k / year

⏰ Full Time

🟠 Senior

🔴 Lead

☁️ Cloud Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CACI International Inc

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1962

🎖️ Defense

🏛️ Government

🔒 Cybersecurity

🔥 Funding within the last year

💰 $500M Post-IPO Debt on 2026-02

Defense • Government • Cybersecurity

CACI International Inc is a U. S. -based government contractor that provides technologies and professional services to national security, defense, and federal civilian customers. CACI delivers solutions across cyber and digital operations, enterprise IT modernization, electronic warfare, counter-unmanned systems (C-UxS), space and optical communications, agile DevSecOps software development, and mission engineering and logistics support. The company positions itself as a large prime contractor that uses advanced software, analytics, sensing, and hardware to detect and counter evolving threats and modernize government technology architectures.

📋 Description

• Design, implement, and support multi-cloud services using Infrastructure as Code tools such as Terraform and ARM templates • Build, optimize, and maintain production-grade Retrieval-Augmented Generation pipelines and semantic search systems • Design and manage data preprocessing workflows, chunking strategies, and vector database infrastructure • Build and maintain automation using PowerShell, Python, Azure CLI, Logic Apps, and Azure Functions • Configure and tune network security groups, application gateways, and other protective cloud controls • Manage compute, storage, networking, and database services across cloud environments while ensuring security and compliance • Collaborate with data scientists, UI/UX designers, and subject matter experts to integrate AI features into user-facing products • Establish and enforce security best practices for large language model implementations and data privacy • Architect complex multi-agent flows and secure deployment of AI workloads for systems serving approximately 300,000 users

🎯 Requirements

• U.S. Citizenship required • Ability to obtain DHS EOD Public Trust • BS/BA plus 15 years of experience, or AA plus 17 years, MS plus 12 years, or no degree plus 21 years • 10+ years of experience in cloud/infrastructure engineering • Extensive hands-on experience with Azure, AWS, and/or GCP • Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems • Expert Terraform skills and proven infrastructure-as-code experience • Experience operating production Kubernetes clusters, including AKS/EKS, supporting AI/LLM workloads • Experience with Docker containers and CI/CD • Python scripting/programming abilities • Active Secret security clearance preferred • Previous DHS or DoD experience desired • Experience with CSAM, RegScale, eMASS, or similar GRC tools desired • Experience supporting emergency operations or disaster response missions desired • Knowledge of cloud security and FedRAMP authorization processes desired • Experience with continuous monitoring and automated security tools desired • Strong communication skills for presenting to senior leadership desired

🏖️ Benefits

• Flexible time off benefit • Robust learning resources • Learning and development opportunities • Healthcare benefits • Wellness benefits • Financial benefits • Retirement benefits • Family support benefits • Continuing education benefits • Time off benefits • Flexible work arrangements to balance quality work and personal lives