Remote Devops Jobs β€’ Python

115 results

Job listings

Senior Fullstack Engineer, Platform

CapIntel πŸ“ŠπŸ§ πŸ’‘

CapIntel is looking for a Senior Fullstack Engineer to strengthen the architecture, reliability, and scalability of their systems. This role focuses on platform and tooling, improving developer experience and supporting secure, efficient product delivery. You'll collaborate closely with product teams and may contribute to service design or integration when needed.

Infrastructure Engineer

Docker 🐳🐳🐳

The Infrastructure Engineering team is the backbone of Docker’s cloud-native platform, powering products like Docker Hub and Docker Build Cloud for millions of developers worldwide. The team designs, builds, and operates the infrastructure services and platforms that make Docker fast, reliable, and secure at global scale. They own core building blocks like compute, networking, observability, deployment, security, and cloud infra provisioning.

AI Automation Analyst

Irestore Laser ✨🧴πŸͺž

Design, build, and maintain workflow automations that attack biggest growth bottlenecks. You’ll work hands-on in n8n (plus Python/JavaScript) to turn manual, error-prone tasks into reliable agents that save time and unlock revenue. Map pain points and ship automations fast, integrating tools and monitoring iterating flows based on usage data and stakeholder feedback.

Site Reliability Engineer

Virtasant β˜οΈπŸŒπŸ’‘

This is a hands-on technical role ideal for someone who brings a developer’s mindset to SRE work. You’ll be expected to anticipate problems before they happen, automate smart solutions, and elevate how reliability is measured, built, and maintained. You'll play a critical role in improving system observability, ensuring platform reliability, and embedding proactive engineering practices across a globally distributed environment.

Infrastructure Engineer

Voltage Park ⚑🏒🌳

The Infrastructure Engineer will design and build automation, tooling, and systems that bridge the gap between physical infrastructure and the platforms that power large-scale AI/ML and HPC workloads. The role combines the breadth of a core infrastructure engineer with a specialty in high-performance networking and GPU communication. The engineer will help ensure the InfiniBand fabric and NCCL stack are tuned, reliable, and efficient at scale β€” supporting some of the world’s largest GPU clusters.