Top Hybrid DevOps & Platform Engineering Jobs

Build and operate low-latency, secure cloud and edge systems for real-time video streaming, AI analysis, and remote control of industrial devices. Ensure reliability, testing, deployment, and work closely with hardware and ML teams.

Lead design and implementation of multi-region cloud platform services focusing on reliability, observability, CI/CD, service mesh, event-driven architectures, and shared infrastructure. Build automation/tools in Go/Python, operate Kubernetes at scale, manage messaging, databases, and participate in on-call support while ensuring compliance for government deployments.

Lead the design, implementation, and operational excellence of cloud infrastructure. Mentor engineers and drive technical improvements in platform architecture and performance.

The Expert Solutions Architect will design and implement cloud and hybrid solutions using AWS and Nutanix, manage migrations, and ensure compliance and security while collaborating with various teams for optimized solutions.

Lead and mentor software development teams, drive DevOps best practices, and partner with cross-functional teams to enhance business value through technology.

The Software Engineer focuses on building and maintaining development environments and tooling infrastructure to support engineering teams, improving developer velocity and code quality across projects.

The IT Systems Administrator will manage hybrid cloud environments, Microsoft 365 services, and Cisco Meraki infrastructure, ensuring system reliability and security.

The Senior Platform Engineer will design, develop, and scale core systems for an AI-driven analytics platform, focusing on performance and customer impact.

Support and build automation, CI/CD pipelines, and internal developer tooling. Write scripts and IaC, collaborate onsite to debug, participate in code reviews, and improve monitoring, observability, and developer workflows.

Architect and build secure, scalable cloud and edge infrastructure for AI workloads. Implement IaC, Kubernetes with GPU support, CI/CD with security controls, observability, MLOps pipelines, disaster recovery, incident response, and mentor engineers while driving infrastructure standards and automation.