Top Artificial Intelligence DevOps & Platform Engineering Jobs

Design, build, and operate secure, tenant-isolated cloud infrastructure and CI/CD for an AI-native multi-tenant platform. Implement observability, policy-as-code, SLAs, incident response, and automate provisioning (Terraform/Helm). Support deployment, monitoring, and secure operations for ML/agent systems at scale.

Lead engineering at a pre-seed GenAI startup: define architecture and tech stack, build the first B2B enterprise SaaS product, set up cloud infrastructure, DevOps and CI/CD, ensure code quality, hire and manage 1-2 engineers, and apply LLM/ML expertise to drive product and business strategy.

Design, build, and operate scalable, reliable cloud infrastructure. Maintain AWS/GCP and Linux systems, Kubernetes clusters, CI/CD pipelines, and monitoring (Prometheus/ELK). Automate operations, troubleshoot production issues, run on-call, conduct reviews, and evaluate new technologies to improve availability and performance.

Develop platform driver code, perform diagnostics testing, collaborate with hardware engineers, and support system deployment in AI datacenters.

The Software Configuration Engineer will configure software and manage server administration within a Windows environment, utilizing various tools and methodologies.

Design and maintain robust CI/CD pipelines, manage integrations with large customer repositories, develop full-stack software, provision cloud infra with Terraform, and implement scalable data pipelines. Learn and apply PySpark, modern data architecture, and AI/agentic tools (Claude, Cursor) to automate and accelerate engineering workflows.

The Senior DevOps Engineer ensures uptime, availability, and performance of the BrightEdge S3 platform, maintaining cloud infrastructure and automating operations.

Embed with services pods to build bespoke tooling and platform features: ad integrations, data pipelines, dashboards, and automation. Own end-to-end client deployments and translate operational patterns into Framework roadmap and product improvements.

Lead design and build of AWS-based infrastructure from 0→1, implement IaC and CI/CD, operate AI/data workloads (Temporal, streaming, vector search, LLM inference), ensure SOC 2–grade security and multi-tenant isolation, establish SLOs/incident response, and mentor engineers while partnering with product and customers.

As a Senior Infrastructure Engineer, you will design scalable architecture, build ML infrastructure, integrate telephony, ensure reliability, and implement security for AI-powered phone systems.