Top Artificial Intelligence DevOps & Platform Engineering Jobs

Work directly with customers to own implementations end-to-end: discovery, integration, deployment, optimization. Write production code, build automations from messy workflows, and serve as the technical face of the company to ensure customer success.

Own and improve Localize’s AWS and Cloudflare infrastructure, databases, platform tooling, deployments, monitoring, security, and SDLC practices. Manage Redis and MongoDB reliability, optimize performance and costs, strengthen CI/CD, lead incident response, support SOC 2 Type II compliance, and maintain disaster recovery capabilities. Partner with product engineers and leadership to prioritize infrastructure improvements, communicate tradeoffs, and improve customer-facing reliability, security, and delivery speed.

Supports the company’s DevOps strategy by designing scalable AWS infrastructure, managing CI/CD processes, integrating engineering workflows, and maintaining GitHub practices. Monitors and troubleshoots production systems, participates in on-call incident response, supports security and compliance, and mentors junior DevOps engineers. The role uses Nomad, Consul, Vault, Terraform, GitHub Actions, Linux, shell scripting, and Python.

Monitor TensorWave’s AI infrastructure across data centers, identify anomalies, perform first-response triage, execute runbooks, document incidents, and escalate issues to engineering or on-site teams. The role supports Kubernetes, GPU, network, storage, and Linux environments; communicates during incidents; contributes to alert tuning and post-incident reviews; and coordinates maintenance activities. This is an on-site rotating 12-hour shift role covering days or nights, including weekends and holidays.

Owns build, test, release, developer productivity, and agent-enabled engineering infrastructure across multi-cloud customer environments. Responsibilities include creating reproducible build systems, release pipelines, software supply-chain security controls, coding-agent workflows, developer self-service tools, observability, alerting, and engineering productivity metrics. Requires strong Python, Linux, container, Kubernetes, GitOps, infrastructure-as-code, cloud, and security expertise, plus leadership of complex projects and migrations.

Build and operate a developer platform for independently versioned modules across global compliance sites. Responsibilities include CI/CD and GitOps automation, reproducible builds, artifact provenance and signing, dependency graph and change-impact tooling, Kubernetes controllers, site provisioning, version management, security patch automation, and large-scale selective test orchestration.

Provides cloud onboarding, migration, operations, troubleshooting, monitoring, and support for Varian applications and Azure infrastructure. The role configures and maintains Azure and Windows technologies, automates management tasks, supports project onboarding and upgrades, coordinates escalations, documents solutions, and mentors colleagues. It requires extensive expertise in Varian applications, enterprise infrastructure, identity management, IT service management, and cloud operations, with on-call support for global customers.

Owns the architecture and operation of multi-tenant AWS and Azure infrastructure, Kubernetes platforms, infrastructure-as-code, CI/CD pipelines, observability, security, disaster recovery, and cost optimization. Leads incident response, compliance alignment, and platform reliability while advising engineering, product, and security teams. The role also mentors junior engineers and advances AI-enabled infrastructure and operational excellence.

Build backend services, APIs, data workflows, AI-enabled applications, coding agents, and secure DevSecOps pipelines for government and defense customers. Establish controlled AI development environments, automated quality and security testing, compliance evidence, software supply-chain protections, and Platform One-compatible deployment workflows. Modernize legacy applications and collaborate with software, platform, cybersecurity, and mission teams to transition R&D prototypes into secure operational capabilities.

Defines technical strategy for infrastructure reliability and performance, leads complex cross-functional engineering initiatives, mentors engineers, and drives operational excellence. Designs and scales AWS infrastructure, Kubernetes platforms, observability systems, SLOs and SLIs, CI/CD tooling, and infrastructure security. Serves as an escalation point for complex operational issues while influencing architecture and business decisions across the technology organization.