Top Hybrid DevOps & Platform Engineering Jobs

Design, build, and scale control- and data-plane infrastructure for distributed AI workloads. Improve reliability, performance, scheduling, and observability for Ray clusters across cloud and on-prem environments. Support accelerator integration, container image management, and provide on-call troubleshooting and cross-team collaboration.

Design and implement highly available infrastructure for trading and financial services using OpenShift, Kubernetes, and Linux, while ensuring compliance and operational resilience in cloud environments.

The role focuses on leading technical architecture for hybrid and cloud platforms, ensuring resiliency and cost efficiency, and driving AI adoption and modernization strategies.

Own and evolve the developer platform: design and operate CI/CD, monorepo tooling, GitHub automation, and self-service developer workflows to improve build reliability, speed, and engineering productivity across the org.

Develop and optimize large-scale compute systems for AI workloads, improving infrastructure reliability and performance across various layers of the stack.

Lead cloud-first transformation and hybrid infrastructure operations, building a DevOps/SRE and platform engineering organization. Drive Azure/Kubernetes automation, IaC, CI/CD, observability, reliability engineering, security/compliance, disaster recovery, FinOps, and vendor/capacity management to ensure scalable, resilient, and compliant infrastructure supporting critical applications.

The Site Reliability Engineer will design, automate, and operate cloud systems, focusing on DevSecOps and operational stability, while improving reliability and collaborating with engineers across the platform.

As an Engineering Manager for the Platform Team, you will oversee technical roadmap development, manage team performance, maintain hands-on technical involvement, and lead high-performing engineering staff.

As a Federal DevOps Engineer, you will manage the technical lifecycle of federal deployments, ensuring compliance and driving product improvements through direct engagement with customers.

Lead post-sale technical implementations of Kizen's low-code AI platform. Own solution architecture, configure integrations and data pipelines, debug production issues, deliver training, and translate business requirements into production-ready deployments while partnering with client engineering teams.