Top Artificial Intelligence DevOps & Platform Engineering Jobs

Design and operate AWS cloud infrastructure, improve CI/CD and deployment workflows, build internal platform capabilities, strengthen observability, automate infrastructure, and reduce developer friction. Partner with product teams, participate in incident response and postmortems, maintain Terraform infrastructure as code, support security and compliance controls, and establish scalable operational standards.

Designs, deploys, secures, and operates enterprise networking, systems, cloud, backup, DNS, and physical security infrastructure across office, laboratory, and manufacturing environments. Leads infrastructure projects, vendor evaluation, procurement, capacity planning, and new-space buildouts. Establishes resilient architecture through redundancy and segmentation, documents standards, supports cybersecurity enforcement, and serves as the senior escalation point for complex infrastructure issues.

Own and evolve Liberate’s AWS-based platform supporting real-time AI voice and workflow automation. Responsibilities include infrastructure architecture, Kubernetes and networking, CI/CD, GitOps, secure carrier integrations, proxy and certificate management, incident response, reliability engineering, compliance, cost optimization, developer tooling, and mentoring. The role provides technical leadership across platform and backend engineering in a distributed, fast-growing startup.

Lead the technical direction and hands-on execution of Gradial’s platform infrastructure. Own production reliability, scalability, security, performance, cost, observability, and developer experience. Evolve Kubernetes, CI/CD, GitOps, infrastructure-as-code, and deployment foundations while leading major platform initiatives. Establish reliability and operational standards, resolve scaling risks, improve incident response, and mentor engineers through architecture reviews and collaboration.

Manage and administer third-party middleware and enterprise applications, including Redis, RabbitMQ, Citrix XenApp, Apache Tomcat, Azure Service Bus, and server platforms. Responsibilities include troubleshooting, log analysis, patching, server administration, and supporting application infrastructure. Preferred experience includes Citrix PVS patching, PowerShell scripting, WordPress or LAMP administration, IIS, Elastic Stack reporting, and SFTP platforms.

Own and scale AI-native platform infrastructure, including Kubernetes clusters, microservices, multi-cloud foundations, networking, authentication, observability, security, cost optimization, and developer tooling. Improve reliability through safe deployments, autoscaling, SLOs, incident response, and standardized infrastructure patterns. Collaborate with researchers and engineers to design, operate, and evolve scalable systems for machine learning, simulation, and robotics workloads.

Build and maintain reliable CI/CD pipelines, deploy containerized web applications to cloud environments, automate workflows, troubleshoot build issues, integrate security and testing frameworks, monitor pipeline performance, and improve DevOps practices. The role also supports Agile delivery, Kubernetes and container orchestration, infrastructure as code, developer productivity, and secure deployment processes. U.S. citizenship and eligibility to obtain a Secret or Top Secret clearance are required.

Own and operate Torc’s global AWS infrastructure, including multi-account organization management, networking, security posture, Kubernetes and container platforms, CI/CD tooling, artifact distribution, and cloud cost management. Build scalable infrastructure with Terraform, support engineering teams developing robotics workloads, contribute to architecture and documentation, and participate in business-hours on-call rotations.

Lead Attentive’s cloud platform organization, overseeing AWS infrastructure, Snowflake and centralized data platforms, database infrastructure, DevOps, and cloud cost optimization. Set technical strategy, improve reliability and operational standards, lead migrations, build self-service developer workflows, and develop engineering managers and technical leaders. Partner across Engineering, Product, Finance, and Developer Experience to improve infrastructure efficiency, scalability, security, and delivery speed.

Deploys, operates, and improves scalable, fault-tolerant cloud infrastructure. Responsibilities include maximizing uptime, building monitoring and alerting, troubleshooting critical services and Kubernetes workloads, automating system updates, creating infrastructure and deployment tooling, and collaborating with Services and Engineering teams. The role requires expertise in Linux, cloud platforms, Kubernetes, databases, configuration management, scripting, and infrastructure as code.