Top Artificial Intelligence DevOps & Platform Engineering Jobs

Internship SRE role responsible for availability, performance, and scalability of an e-commerce supply-chain platform. Tasks include SLO/SLA definition, observability (Prometheus/Grafana/Loki/Tempo/OpenTelemetry), incident response, capacity planning, disaster recovery for PostgreSQL, infrastructure-as-code (Terraform), CI/CD automation, and operational reliability for AI agent services. Mentored by Head of Technology/CTO with potential conversion to full-time based on performance.

Build and operate cloud-native platform infrastructure enabling AI agents in healthcare: safe CI/CD for agent capabilities, agent-focused observability, scalable infrastructure, automation, runbooks, and incident response.

Designs, implements, and sustains AWS cloud systems supporting secure data integration and information sharing for Intelligence Community customers. Responsibilities include architecting AWS environments, optimizing bulk and streaming ETL workflows, maintaining physical and virtual infrastructure, leading customer technical engagements, documenting architectures, mitigating technical risks, and supporting field deployments. The role requires strong stakeholder communication, systems integration expertise, and occasional travel.

Lead a software engineering team building and operating Snorkel AI’s platform in government and regulated cloud environments. Define architecture, deploy services, establish infrastructure-as-code and CI/CD workflows, and ensure security, monitoring, vulnerability management, incident response, compliance, and auditability. Partner with platform, security, compliance, product, and applied AI teams while hiring, coaching, and developing engineers and setting technical standards.

Operate and improve large-scale NVIDIA GPU clusters across bare-metal and rented capacity. Build automation for provisioning, health checks, remediation, monitoring, scheduling, and capacity management. Own Linux images, drivers, CUDA, containers, networking, storage, and Slurm. Diagnose performance and hardware issues, evaluate GPU providers, support ML training workloads, and maintain secure infrastructure. The role also includes hardware installation, datacenter coordination, and vendor management.

Designs, builds, and maintains enterprise Azure platform capabilities supporting ERP applications and services. Responsibilities include Azure networking, integrations, security, containers, API Management, CI/CD, DevOps, monitoring, AI, and data services. The engineer troubleshoots complex platform issues, improves existing environments, translates business needs into technical solutions, and collaborates with application, security, infrastructure, and ERP teams with limited supervision.

Designs and maintains Azure enterprise data infrastructure using Terraform and CI/CD pipelines. Implements multi-plane architectures, hybrid Azure-Google Cloud networking, secure platform services, Kubernetes workloads, identity and access controls, and centralized monitoring. The role supports Airflow, Milvus, Neo4j, GPU workloads, and healthcare-compliant environments with HIPAA, PHI, encryption, data residency, and secure SDLC requirements.

Own Anthropic’s ChromeOS platform end to end, including device standards, Google Admin and Chrome Enterprise policies, policy-as-code automation, zero-touch enrollment, international procurement, security controls, telemetry, lifecycle management, and vendor access models. Support Android Enterprise as a second platform, collaborate with IT, Security, and procurement teams, and create runbooks for vendor programs.

Designs and supports CI/CD pipelines, automated deployments, GitOps workflows, Kubernetes environments, Helm releases, and software delivery toolchains across multiple security-sensitive environments. Integrates security scanning and compliance controls, troubleshoots platform and deployment issues, supports releases and rollbacks, and collaborates with software, AI, systems engineering, cybersecurity, and operations teams. Requires a technical bachelor’s degree, 8+ years of relevant experience, U.S. citizenship, and eligibility to obtain a DoD Secret clearance.

Automates and operates enterprise AWS and public cloud infrastructure using Infrastructure as Code, scripting, source control, and DevOps workflows. Manages highly available IaaS and PaaS environments, virtualization, containers, microservices, monitoring, troubleshooting, security controls, cost optimization, and technical documentation. Partners with architects to deliver resilient cloud solutions and supports periodic after-hours maintenance. Requires strong Windows and Linux administration, networking knowledge, AI-assisted engineering skills, and at least five years of cloud engineering experience.