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Senior DevOps Engineer - AI Platform

Ladders — United States · Posted ~3 hours ago

Senior Full-time Remote No Visa $130000-$155000/year

Skills

DevOps cloud infrastructure Kubernetes Azure Oracle Cloud Infrastructure automation networking security observability AI workloads AI infrastructure

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Summary ✨ AI‑Generated

A Senior DevOps Engineer is sought to build and operate the cloud foundation supporting AI workloads and modern applications. The role involves production-ready infrastructure, Kubernetes on Azure and OCI, asynchronous processing, networking, security, observability, and automation, with close collaboration across engineering teams.

Highlights

Remote US-based role with $130k–$155k compensation focused on modern AI infrastructure. You will build scalable cloud foundations, manage Kubernetes, support AI workloads, and improve security, observability, and platform performance while partnering with multiple engineering teams.

Description

For our client, we are seeking a Senior DevOps Engineer, AI Platform to join the team of a leader in the Enterprise Technology space. This role will help shape and operate the cloud foundation that supports AI-driven workloads and modern application services across the organization. The position is focused on building reliable, scalable infrastructure and automation that enables engineering teams to move quickly and deploy with confidence. You will partner closely with AI engineers, application developers, and other technical stakeholders to strengthen observability, security, and platform performance. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $130,000 – $155,000 annually Responsibilities Translate technical designs into production-ready cloud infrastructure Design and manage Kubernetes environments on Azure and Oracle Cloud Infrastructure (OCI) Support AI workloads and asynchronous processing pipelines Manage networking and security components for cloud services Create and maintain CI/CD pipelines integrating various tools Automate infrastructure provisioning with Terraform and related technologies Ensure complete observability and troubleshooting readiness of infrastructure Qualifications 7+ years of experience in DevOps, SRE, or related roles Extensive hands-on experience with Kubernetes, particularly AKS and networking Strong knowledge of Microsoft Azure and Oracle Cloud Infrastructure (OCI) Proficient in CI/CD tools like Jenkins, Bitbucket, and container technologies Solid understanding of cloud networking concepts such as DNS and load balancing Experience with observability tools like Grafana and Prometheus Hands-on experience with databases and caching systems like PostgreSQL and Redis Benefits Work in a cutting-edge AI environment with advanced technologies Collaborate with a diverse team of AI and application engineers Opportunities for professional development in cloud infrastructure and AI Access to modern tools and frameworks for efficient work Potential for contributing to high-impact AI projects with wide-reaching applications Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.