Senior Software Engineer, Cloud Data Storage

November 5, 2026

Remote (within country)

Senior

United States

Description

The role covers a cloud data store that owns storage, retrieval, and lifecycle of workflow data at planet scale. The engineer designs persistence APIs and storage abstractions running across cloud vendors, and delivers observability so customers can trust their workflow state machines for years. The position includes backend functionality for highly scalable multi-tenant services and a custom persistence stack with a Write Ahead Log, metadata stores, multi-level caches, and tiered storage.

Responsibilities

Design and build distributed data systems with APIs, schemas, and replication paths that keep petabytes of workflow history durable and query-able
Clearly document design choices and operational knowledge to successfully deploy and run services with those features
Drive reliability and performance by owning SLOs, creating chaos-test plans, profiling hot paths, and leading incident reviews
Provide technical leadership by breaking down roadmap epics, mentoring mid-level engineers, and stewarding design docs through RFC
Collaborate cross-team with the Server, Cloud, and DX teams to land features end-to-end

Requirements

5 or more years of experience building highly scalable distributed systems
Solid computer science fundamentals in distributed systems concepts including multi-threading and concurrency
Experience writing concurrent code in production with languages like Go or Java at advanced skill levels
Experience building and running services on AWS, with Microsoft Azure and Google GCP as a bonus
Prior contributions to open-source workflow engines or similar projects
Deep expertise in a storage domain such as LSM trees, columnar stores, or transactional logs
Operation of multi-region services with 99.99% uptime or higher
Experience working with open source systems
Experience building Kubernetes controllers and CRDs is a plus