Senior Cloud Platform Engineer - Distributed Systems

Momentum; San Francisco (CA); Presencial; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

Leadout Capital is seeking a senior backend engineer with strong Python experience and cloud-architecture skills to design and operate large-scale distributed systems. You will build automation tooling, contribute to open source tech, and develop infrastructure-as-code to support highly available services across data centers.

The role requires deep Linux expertise, container orchestration, and experience with CI/CD pipelines on major cloud platforms.

Formación

• 5+ years of backend software development experience (Python) with Cloud Architecture.
• Experience with Linux systems administration and troubleshooting.
• Proven Python experience including OOP, design patterns and concurrency.
• Hands-on cloud engineering on GCP, AWS, or Azure at cloud scale.
• Experience with infrastructure automation tools and container orchestration.

Responsabilidades

• Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms.
• Design resilient distributed systems across thousands of compute nodes and data centers.
• Using and contributing to open source technology.
• Develop Infrastructure-as-Code.
• Write microservices on Kubernetes, Docker, Mesos.
• Resolve complex issues to improve availability, resilience, and performance.
• Balance live-site management, feature delivery, and debt retirement.
• Participate in on-call rotation to keep services operational.

Conocimientos

Python

Linux administration

Cloud architecture

Kubernetes

Docker

Terraform

CI/CD

Networking basics

Herramientas

Kubernetes

Docker

Terraform

Splunk

Puppet

Spinnaker

Git

Grafana

Ansible

Descripción del empleo

Leadout Capital is seeking a senior backend engineer with strong Python experience and cloud-architecture skills to design and operate large-scale distributed systems. You will build automation tooling, contribute to open source tech, and develop infrastructure-as-code to support highly available services across data centers.

The role requires deep Linux expertise, container orchestration, and experience with CI/CD pipelines on major cloud platforms.