Top Artificial Intelligence DevOps & Platform Engineering Jobs

Leads the SRE function and team, establishing reliability practices, observability standards, automation, incident management, and 24x7 operations. Develops scalable monitoring and AIOps architectures, modernizes hybrid cloud and enterprise network connectivity, and partners with infrastructure, engineering, cybersecurity, and service providers. Provides architectural guidance, drives migration and continuous improvement, and reports reliability and operational maturity to leadership.

Build and optimize infrastructure, developer tooling, build systems, CI/CD, APIs, services, and deployment platforms. Investigate performance bottlenecks across software, operating systems, storage, networks, and hardware; improve observability, reliability, provisioning, and recovery. Develop internal platforms used by multiple engineering teams, maintain homelab infrastructure, and measure the impact of performance and workflow improvements.

Build and operate Zoox’s continuous deployment platform, including its paved path, reliability, safety controls, and adoption across application teams. Partner with SRE and engineering teams to migrate services, turn recurring deployment friction into platform capabilities, establish safe production release standards, and mentor engineers. The role requires expertise in platform or infrastructure engineering, Kubernetes, container deployments, continuous delivery systems, programming, and infrastructure as code.

Build Probook’s infrastructure foundation across agent development, developer tooling, real-time AI products, distributed systems, reliability, observability, and cloud optimization. The role owns infrastructure end to end, including agent sandboxes, evaluation systems, CI/CD, deployment workflows, workflow orchestration, production reliability, and performance. This is a greenfield, in-office role requiring broad technical ownership and close collaboration in a fast-growing startup.

Architects and owns highly available infrastructure and Kubernetes-based platforms supporting autonomous systems. Builds Golang backend services, platform tooling, observability systems, dashboards, alerts, and log aggregation. Partners with product teams to launch services, performs performance analysis, manages cloud upgrades, and participates in incident response and postmortems. Collaborates on cloud security risk assessments, intrusion detection, threat-feed systems, risk mitigation, and SaaS payment processes. Provides architectural leadership and mentorship across engineering teams.

Leads the architecture, engineering, and delivery of enterprise Google Cloud solutions spanning cloud-native platforms, data platforms, AI, APIs, integrations, and application modernization. Designs secure GCP architectures, landing zones, governance models, and reusable automation. Advises executive stakeholders, leads architecture workshops and transformation programs, supports customer pursuits, and mentors architects and engineers while developing cloud, AI, data, and integration capabilities.

Own and evolve the cloud foundation supporting AWS accounts, IAM, networking, DNS, governance, and Terraform execution. Build self-service infrastructure controls, automate compliance and access management, establish scalable platform patterns, and improve cost visibility. Partner with Security, GRC, IT, and engineering teams while operating reliable, observable systems and participating in on-call support.

Perform Azure cloud operations and systems administration across Commercial, Government, and Secret environments. Responsibilities include patching, monitoring, backup and recovery, identity and access management, cloud networking, scripting, vulnerability remediation, STIG compliance, SIEM monitoring, ATO and POA&M support, database administration, classified system operations, cost optimization, incident resolution, and technical documentation. The role requires maintaining secure, available production systems supporting NTIA spectrum-management applications.

Design, build, and operate AWS infrastructure and platform environments using Terraform and deployment automation. Own CI/CD, observability, reliability, networking, security, secrets management, and operational readiness. Partner with application teams on architecture and performance, manage production systems and databases, and document runbooks and platform practices.

Build and maintain CI/CD pipelines, manage and automate cloud infrastructure and configurations, implement monitoring/logging and alerting for reliability, enforce security and compliance practices, and collaborate with development teams to support scaling and operations.