TL;DR

Distributed Systems Software Engineer (Public Cloud): Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers with an accent on cloud infrastructure automation, microservices, and API design. Focus on resolving complex technical issues, improving system availability, and leveraging AI for developer productivity.

Location: Onsite in San Francisco or Los Angeles, California, USA

Company

%hirify_global% is a leading product company focused on delivering cloud infrastructure automation tools and resilient distributed systems.

What you will do

Deliver cloud infrastructure automation tools, frameworks, and validation platforms on public cloud (AWS, GCP, Azure, Alibaba).
Design, develop, debug, and operate resilient distributed systems across thousands of compute nodes.
Contribute to open source technologies like Spinnaker and Zookeeper.
Develop Infrastructure-as-Code using Terraform and microservices on Kubernetes, Docker, Mesos.
Participate in on-call rotation to address complex problems and ensure high availability.
Leverage AI for developer productivity and develop test strategies.

Requirements

A related technical degree required.
3+ years backend software development experience.
Deep knowledge of programming in Java, Golang, Python, or Ruby.
Experience building scalable APIs, microservices, and with relational databases (e.g., Postgres).
Experience owning and operating multiple instances of a critical service, Agile development, and Test Driven Development.
Work authorization for the USA required.

Culture & Benefits

Deliver cloud infrastructure automation tools and frameworks.
Work on resilient distributed systems running across thousands of compute nodes.
Contribute to open-source technology.
Balance live-site management, feature delivery, and technical debt.
Participate in an on-call rotation to address complex problems.
Leverage AI for developer productivity.