Lead Engineer, Scope3

• 8+ years of experience building real time, low latency, high throughput
• 4+ years experience operating as a technical lead
• Expertise in Golang
• Experience with Google Cloud Platform and/or Amazon Web Services
• Experience with Kubernetes

Desirable

• This individual contributor role will be responsible for overseeing + shaping the technical vision for our core emissions measurement API and all real time systems
• In this role, you will not only guide the technology underpinning Scope3’s core api, but also help setting high performance standards across the engineering organization - with a focus on maintainable and performant Golang code
• This API is utilized directly by our customers (typically via batch pipelines, so we get huge request spikes every hour) and is the backbone for many of the products that we have built and have made available at scope3.com. For instance, all of the core emissions numbers powering our property report (example here) are powered by this core API
• The current tech stack focuses on running high throughput + low latency golang services deployed to a kubernetes engine running in Google Cloud Platform. Since low latency is a priority for our API - we utilize a large in-memory database to reduce the need for external network calls. This role would be instrumental in establishing the future architecture of this API as the breadth of data modeled and their use-cases continue to expand
• We recently added a real time data provider (documentation here) to our stack. This system has to have capacity to handle 1M+ QPS globally as well as reliably sub 5ms latencies
• This network latency requirement also set us up to deploy our own servers next to our clients (we are using Equinix to get bare metals)
• The core application is built in Go and currently we are relying on in-memory cache systems
• The overall architecture and caching strategies used for this system are actively being iterated on and would be a key project undertaken by this individual