Top Artificial Intelligence DevOps & Platform Engineering Jobs

Support and manage day-to-day AWS services and requests. Develop custom features, extensibility packages, and cloud solutions using AWS Cloud APIs. Perform Linux system administration and automation tasks; apply OOP/Java development skills to integrate with AWS services.

As a Federal DevOps Engineer, you will manage the technical lifecycle of federal deployments, ensuring compliance and driving product improvements through direct engagement with customers.

Design and build scalable AI infrastructure, automate workflows, optimize GPU workloads, and ensure reliability for AI systems at Eloquent AI.

The role involves building and evolving the developer platform, focusing on CI/CD automation, developer tooling, and improving observability and operational excellence.

As a Senior DevOps Engineer at Scribe, you will design and optimize AWS cloud infrastructure, manage CI/CD pipelines, and support product development while ensuring reliability and performance of services.

Lead and grow platform engineering teams building foundational software and infrastructure. Own delivery, reliability, security, observability, CI/CD, deployments, and developer experience. Partner cross-functionally on architecture, priorities, and incident response while mentoring engineers and improving tooling and automation (including AI-assisted workflows).

Build and operate the production platform that gives a virtual finance "employee" identity across email, messaging, conferencing, and phone. Implement enterprise identity, RBAC, audit logging, and secure integrations with ERPs (NetSuite/SAP/Oracle), Microsoft 365/Google Workspace, SharePoint, and file stores. Own deployment, observability, on-call, and hardening so new customers can be onboarded in days. Help set hiring bar and platform culture.

Lead ownership of multi-region AWS infrastructure using CloudFormation and Node.js tools. Design, implement, and maintain CI/CD pipelines, monitoring, logging, and secure, highly available environments. Troubleshoot production issues, optimize performance and costs, mentor a small team, and document infrastructure and operational processes while collaborating with engineering, security, and product teams.

Build and operate GovCloud production infrastructure and Kubernetes clusters, own GitOps CI/CD, observability, security/compliance (SOC2/CMMC/FedRAMP), contribute backend code (Python/TypeScript), and improve developer experience and resilience.

Responsible for designing, building, and scaling Python codebases, managing cloud-based distributed systems, and implementing DevOps practices to enhance AI-driven semiconductor technologies.