Cloud Infrastructure Engineer – AI Innovation

Redgrave LLP

Cloud Infrastructure Engineer managing the cloud infrastructure for AI workflows at Redgrave LLP. Designing, building, securing, and operating environments across Azure, AWS, and Google Cloud.

Posted 4/28/2026full-timeRemote • Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $165,000 - $250,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesTerraform

About the role

Key responsibilities & impact

Design, provision, and maintain secure developer environments and cloud infrastructure for AI workloads
Build and operate CI/CD pipelines, source control workflows, and containerized environments (Docker, Kubernetes)
Configure, manage, and optimize Databricks in Azure for large-scale data processing and analytics
Define and maintain infrastructure-as-code (Terraform, Bicep) for reproducible and auditable environments
Implement centralized logging, monitoring, and alerting for proactive issue detection and rapid incident response
Stand up matter-specific infrastructure (compute, storage, databases, AI services) with proper isolation and lifecycle management
Operate across Azure (primary), AWS, and Google Cloud, including identity, networking, cost allocation, and governance
Ensure protection of client data at rest and in transit, including attorney-client privileged information and ethical wall requirements
Maintain incident-response procedures and provide after-hours support when required for time-sensitive matters
Manage API access, usage limits, and costs across AI model providers (e.g., OpenAI, Anthropic)
Scale AI systems from prototype to production, including high-volume batch pipelines touching millions of documents
Create and maintain architecture diagrams, documentation, and operational runbooks

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)
5+ years of experience designing and running production cloud infrastructure
Proven experience supporting AI workloads end-to-end
Experience with high-volume data processing systems (batch pipelines, document stores, large-scale storage)
Strong hands-on experience operating production cloud infrastructure, preferably across Azure, AWS, and GCP
Experience with CI/CD, containers, and infrastructure-as-code tooling
Solid fundamentals in cloud security, identity and access management, and data protection
Experience supporting observability, on-call response, and operational reliability
Clear communicator who can collaborate with technical and non-technical stakeholders
Self-starter who thrives in a small, fast-moving team
Interest in or experience with professional services or regulated environments.

Benefits

Comp & perks

medical, dental, and vision coverage
401(k) plan
additional benefits to help you prepare for retirement
free access to Employee Assistance Programs
programs designed to help you and your family stay healthy, feel secure, and enjoy a positive work/life balance.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

cloud infrastructureCI/CD pipelinescontainerizationDatabricksinfrastructure-as-codeTerraformBicepAPI managementdata processingAI workloads

Soft Skills

clear communicationcollaborationself-starterproblem-solvingoperational reliabilityincident responseproactive issue detectionteamworkadaptabilitystakeholder engagement

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information Technologyrelated field degree