Staff Software Engineer, Cloud Data Storage

engineeringjobs.net, Inc.; Seattle (WA); On-site; USD 150,000 - 190,000; Full time

Job summary

engineeringjobs.net, Inc. is seeking a senior distributed systems engineer to design, build, and operate scalable cloud storage services. You will work across persistence APIs, metadata stores, caches, and tiered storage for workflow data, with a focus on reliability.

The ideal candidate has 5+ years in distributed systems, strong Go or Java coding skills, and hands-on experience with AWS and cloud-native tooling. You will mentor engineers and collaborate across teams to deliver robust features.

Qualifications

• Requires at least five years of experience building or arranging highly scalable distributed systems.
• Experience producing production-grade Go, Java, or similar languages with concurrent code.
• Experience building and operating services on AWS; Azure or Google Cloud experience is a plus.

Responsibilities

• Design, build, and maintain scalable, multi-tenant cloud storage systems with persistence APIs and caches.
• Own reliability and performance practices; document and guide technical designs.
• Mentor engineers and collaborate across teams to deliver features.

Skills

Distributed Systems

Concurrent Programming

Go

Java

AWS

Microsoft Azure

Google Cloud Platform

Cassandra

Etcd

ElasticSearch

ClickHouse

Write-Ahead Logging

Multi-Level Caching

Tiered Storage

Kubernetes

Service Reliability

Job description

Design, build, and maintain scalable, multi-tenant cloud storage systems, including persistence APIs, metadata stores, caches, and tiered storage for workflow data. Own reliability and performance practices, document and guide technical designs, mentor engineers, and collaborate across teams to deliver features.

Requirements: Requires at least five years of experience building or arranging highly scalable distributed systems, strong distributed-systems fundamentals, and production experience writing concurrent code in Go, Java, or a comparable language. Candidates should have experience building and operating services on AWS; Azure, Google Cloud, search or analytics databases, workflow engines, storage systems, multi-region services, open-source systems, and Kubernetes controllers are additional advantages.

Key Skills: Distributed Systems, Concurrent Programming, Go, Java, AWS, Microsoft Azure, Google Cloud Platform, Cassandra, Etcd, ElasticSearch, ClickHouse, Write-Ahead Logging, Multi-Level Caching, Tiered Storage, Kubernetes, Service Reliability