Top Hybrid DevOps & Platform Engineering Jobs

The Senior Platform Engineer will design and maintain infrastructure systems, deploying software for autonomous vehicles, with a focus on security and compliance in various environments.

Lead the design and implementation of cloud-native applications, mentor developers, ensure quality standards, and guide technical decisions in client projects.

The Lead IT Engineer is responsible for managing the IT infrastructure, automating processes, maintaining hardware, and contributing to security operations. They will independently make decisions regarding onboarding, admin access, and productivity tooling in a Microsoft-heavy environment.

The Senior Infrastructure Engineer ensures uninterrupted operation of critical infrastructure, manages server and network environments, and supports the genomics pipeline while eliminating single points of failure.

The Senior SRE will ensure reliability of production systems, design monitoring processes, and build automation tools while collaborating in a regulated environment. The role blends operational tasks and coding responsibilities.

As an AI Platform Engineer, design and optimize the AI-native platform, develop scalable infrastructure, and collaborate with teams to solve complex AI deployment challenges.

As a Staff/Principal Platform Engineer, you will build, secure, and scale AI products, manage cloud infrastructure, integrate CI/CD pipelines, and enhance developer workflows with automated tooling.

The role involves building scalable infrastructure and backend systems, improving performance and reliability, and supporting high-volume applications.

Lead and manage the Site Reliability Engineering team, establish vision, define processes for collaboration, design robust infrastructure, and mentor team members while ensuring service availability and system reliability.

The role involves managing ML infrastructure, building scalable data pipelines, operating training frameworks, leading projects, and ensuring best DevOps practices for machine learning.