Top Artificial Intelligence DevOps & Platform Engineering Jobs

Lead and grow the Infra team while remaining hands-on: design and maintain global cloud infrastructure, own the database and sync layer, improve performance and reliability, contribute to architecture and code reviews, and set engineering standards and priorities in partnership with the CTO.

Lead and own platform architecture and standards across backend services and infrastructure. Ensure reliability, scalability, observability, and developer experience. Drive cross-team initiatives (multi-tenancy, permissions, async workflows), perform high-impact system redesigns, mentor senior engineers, ship architectural improvements, and align technical strategy with product and leadership.

The Senior Site Reliability Engineer will manage blockchain infrastructure, ensure high availability, build automation, improve Kubernetes reliability, and collaborate with engineering teams on best practices.

The Engineering Manager will lead the Core Platform team, focusing on improving developer productivity and technical excellence while managing project execution.

Design and build platforms for new products, develop generative AI features, ensure system reliability, and foster a collaborative culture in a startup environment.

The role involves designing and advancing infrastructure for the engineering team, ensuring the reliability of Kubernetes clusters, automating operations, and building machine learning infrastructure.

Design, implement, and operate multi-cloud cloud foundations across GCP and AWS: account/project topology, networking, IaC modules, state strategy, Kubernetes cluster foundations, IAM/workload identity, cost visibility, and controls to support SOC 2. Drive reusable Terraform/OpenTofu patterns, networking, and infrastructure standards for growth and reliability.

Embed with client studios to deploy, integrate, and support infrastructure and software (storage, workstations, render, networking, cloud). Diagnose and resolve cross-platform issues, automate deployments, support secure/TPN-aligned workflows, own escalations, write documentation, and recommend environment improvements while collaborating with internal teams.

Join the platform engineering team to build and operate core infrastructure: own CI/CD and deployments, manage cloud and Kubernetes at scale, automate tooling, optimize performance and capacity, define SLIs/SLOs, run incident response and postmortems, and implement observability (metrics, logs, traces) across services.

Own and operate the Linux KVM hypervisor platform at fleet scale: define golden builds and VM templates, automate bare-metal provisioning, manage patching/rollouts, implement monitoring (Prometheus) and centralized logging, enforce CIS security baseline, detect configuration drift, and maintain CI/testing for infrastructure code.