Top Hybrid DevOps & Platform Engineering Jobs

The role involves Linux engineering and administration for large-scale distributed systems, troubleshooting hardware issues, and implementing automation for cloud environments.

The role involves designing scalable Kubernetes platforms, optimizing infrastructure reliability, mentoring engineers, and integrating open-source technologies.

The role involves developing features for cloud-based systems, mentoring junior engineers, and managing competing priorities in a dynamic team environment.

Responsible for architecting and managing macOS device solutions, improving management and security, automating workflows, and collaborating with multiple teams to ensure a secure and efficient endpoint experience.

The Staff DevOps Engineer will lead infrastructure automation, scaling, and CI/CD processes, collaborating with teams to ensure high-quality software delivery and operational excellence.

As a Staff DevOps Engineer, you'll automate and scale systems for Crunchyroll's streaming platform, collaborate with teams on infrastructure best practices, and lead projects. Required skills include DevOps experience, automation proficiency, and strong leadership.

The Senior Platform Engineer will design, deploy, and manage platform services using RHEL and OpenShift, focusing on cloud infrastructure for public safety services.

Design, develop, unit test and integrate software for data center and cloud infrastructures as part of a DevOps team. Collaborate globally, mentor junior engineers, implement containerized deployments and CI/CD automation, and apply protocol and cybersecurity best practices.

Design, develop, unit test, and integrate software for data center and cloud infrastructures. Collaborate in Agile DevOps teams, mentor junior engineers, implement CI/CD and containerized deployments, and apply protocol and cybersecurity best practices.

Lead design and ownership of revenue cycle management and billing systems; build core platform infrastructure, event-driven systems, and data pipelines; mentor engineers; collaborate with product, operations, and clinical teams to ensure scalable, reliable payment and platform systems.

As a Senior Platform Engineer, you'll build and manage a cloud platform, ensuring its scalability, security, and availability while implementing best practices in DevOps and CI/CD.

The Senior Platform Engineer will design and maintain a fin-tech AI platform, optimize backend logic, integrate AI models, and collaborate on feature implementation.

Lead and grow the global mail and messaging systems engineering team, provide architectural guidance, drive reliability and automation, manage escalations, collaborate cross-functionally on roadmaps, and transition operations to engineering-first infrastructure-as-code practices.

The Director of Platform Architecture leads architectural vision and strategy for financial services, managing teams and driving digital transformation and compliance initiatives.

Senior escalation/performance engineer who owns and resolves complex technical issues end-to-end. Diagnose front-end to back-end stacks, perform performance tuning, collaborate across teams, engage proactively on at-risk accounts and tactically on critical incidents, and deliver high customer satisfaction.

Lead Platform Architect designs and delivers internet infrastructure solutions, produces Technical Architecture Documents, ensures security, scalability and availability, resolves operational issues, evaluates new technologies, leads regional projects, and manages implementation, tuning, capacity planning and configuration management for Mastercard internet components.

Lead architecture, delivery, and operational excellence for Notification Manager and Edge Decisioning. Drive cross-functional initiatives, mentor engineers, define technology roadmaps, ensure secure scalable cloud-native solutions, and enforce SDLC, QA, and compliance in a global matrixed environment.

As a Site Reliability Engineer, you'll build software to ensure system reliability, scale infrastructure, and deploy ML systems while collaborating with cross-functional teams.