Top Artificial Intelligence DevOps & Platform Engineering Jobs

Provide customer-facing support for hybrid and self-hosted deployments across AWS, Azure, and GCP. Debug Kubernetes, Terraform, networking, IAM, TLS, backend performance, databases, and object stores. Lead incident response, submit infrastructure and backend fixes, build diagnostic tooling, maintain runbooks, and participate in on-call support. Collaborate with Cloud Infrastructure, Engineering, Developer Support, and Product teams to resolve recurring customer issues.

Design, build, and maintain scalable, highly available AWS cloud infrastructure for healthcare SaaS services. Develop Infrastructure-as-Code deployments and CI/CD pipelines across environments, manage Kubernetes and serverless workloads, and own monitoring, alerting, observability, disaster recovery, and backups. Strengthen cloud security through IAM, WAF, KMS, secrets management, certificates, and logging. Contribute to system reliability, documentation, and on-call support while collaborating on secure, cost-efficient infrastructure solutions.

Own the reliability, performance, and uptime of large-scale post-training and reinforcement learning systems. Debug distributed failures across accelerators, networking, storage, schedulers, and training frameworks; build monitoring, alerting, recovery, checkpointing, and scheduling tools; improve cluster utilization and fault tolerance; support production model runs through on-call rotations and postmortems; and partner closely with research teams during active training runs.

Design and build scalable backend systems, data pipelines, and cloud infrastructure. Own CI/CD, containerization, databases, and reliability; collaborate with tech leads to deliver secure, production-grade solutions for startups in a fully remote environment.

As an Infrastructure Engineer, you'll design and maintain cloud infrastructure, build automation workflows, manage CI/CD pipelines, and improve system reliability while collaborating with product and research teams.

Architects and operates scalable customer-hosted cloud and on-premises deployments. Owns high-severity incident resolution, develops automated deployment pipelines and safeguards, builds observability systems, and creates internal tooling to improve developer velocity, reliability, and security. The role requires production Kubernetes and cloud infrastructure experience, strong Linux, networking, and infrastructure-as-code fundamentals, customer communication, and familiarity with AWS, Terraform, GitOps, IAM, and observability tools.

Operate and improve infrastructure spanning AWS, Kubernetes, on-premises and edge systems, deployment pipelines, GPU workloads, networking, and observability. Build infrastructure as code with Terraform and GitOps, troubleshoot networking issues, support factory-floor devices, maintain trustworthy alerts, and apply secure access and secrets-management practices. The role may also involve Kubernetes on-premises, arm64 edge fleets, over-the-air updates, WireGuard networks, robotics hardware, and ITAR or CMMC environments.

Advance the reliability, scalability, and automation of Horizon Cloud’s global infrastructure. Build CI/CD pipelines, manage Azure and Kubernetes environments, implement observability with Elastic Stack, Prometheus, Grafana, and OpenTelemetry, and automate operations with Python and Terraform. Apply SRE, incident response, infrastructure security, and compliance practices while troubleshooting distributed systems. Provide technical leadership, mentor team members, and drive improvements to resilience, developer productivity, and self-healing capabilities.

Provides day-to-day database administration and on-premises platform infrastructure support. Responsibilities include database monitoring, patching, upgrades, backup and recovery, query performance optimization, security access management, and administration of Redis, MinIO, Kafka, Windows, and Linux environments. The role also supports CI/CD pipeline operations, troubleshooting, documentation, and platform service maintenance.

Own the end-to-end software deployment lifecycle across cloud, on-premises, and edge environments. Build CI/CD pipelines, infrastructure as code, containerized deployments, observability, automation, release recovery, and secure delivery practices. Troubleshoot issues across applications, Kubernetes, Linux, networking, and infrastructure; partner with engineering, customers, and field teams; support production systems and on-call operations. Travel approximately 15–20% domestically and internationally.