TL;DR

Distributed Systems Software Engineer (Public Cloud): Designing, developing, debugging, and operating resilient distributed systems on public cloud platforms 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, California

Company

%hirify_global% is a leading cloud software company.

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 running across thousands of compute nodes.
Use and contribute to open-source technology like Spinnaker and Zookeeper.
Develop Infrastructure-as-Code using Terraform and micro-services on containerization frameworks such as Kubernetes and Docker.
Participate in on-call rotation to address complex problems and ensure high availability.
Leverage AI for developer productivity and develop test strategies with automation frameworks.

Requirements

A related technical degree.
3+ years backend software development experience.
Deep knowledge of programming in Java, Golang, Python, or Ruby.
Experience building scalable APIs and microservices.
Experience with relational databases (e.g., Postgres) and data model design.
Experience owning and operating critical services using Agile and Test Driven Development.

Distributed Systems Software Engineer - Public Cloud MTS/SMTS (Internal Only)