Backend Engineer, Data Centers

Meter•San Francisco, CA

2d•$163,000 - $220,000

About The Position

Meter’s mission and long term ambition The internet runs the world–data centers, offices, manufacturing facilities, schools, etc., spend billions annually on computer networking to stay productive. However, these networks are messy and brittle. Traditional networking companies only build one piece of the puzzle—either hardware, software, or operations—but never all three, leading to inefficient silos and slow changes. Network engineers—the lifeblood of the industry—are often left scrambling to fix issues, hand editing configs, guess-and-checking solutions, and worrying how the ever-increasing complexity of the system they manage will break. Meter has spent the last decade vertically integrating the fragmented computer networking industry across hardware (power, routing, switches, security, wireless), firmware, operating systems, and real-world operations. By owning the full stack, we make it exceptionally easy for any business to have great networking, internet, and Wi-Fi. We believe people who build hardware and software should be the ones responsible for it. Our ambition is to evolve internet infrastructure into a utility, and we recently raised a $170M Series C to advance our work. Why data centers? Data centers are the next step in the evolution of Meter’s product line. We’ve built a strong business providing enterprise and campus networks to our customers, and now we need to build upon our platform to help customers move data into, out of, and across their data centers. Data centers are critical to the world. All traffic on the public internet and private clouds, including AI models’ training and inference, depends on data centers to process, store, and move data quickly. Our reliance on data centers will only grow, with Morgan Stanley estimating that between 2025 and 2029 global spending on data centers will hit $3 trillion. Why this role matters Meter has ambitious growth goals as we build switching products for data center users. These networks have significant feature, reliability, performance, and monitoring requirements. We’ll also be heavily scrutinized as a new vendor in this market. Your job is to work closely with our firmware and frontend teams to ensure our infrastructure scales to meet these requirements.

Responsibilities

Working in Go and Python, ensure backwards compatibility and feature versioning across constantly evolving schemas
Build scalable pipelines for ingesting, transforming, and serving petabytes of data across Kafka, Postgres, and Clickhouse
Create CI/CD workflows that evolve the API in lockstep with changes to the underlying data schema
Enable fine-grained querying of historical and real-time data for any network, at any point in time
Help define and enforce the principle of "smart data, dumb functions": doing as much as possible in the data layer to keep downstream code minimal
Collaborate with modelers to co-design training and evaluation pipelines that are reproducible, debuggable, and fast
Own performance across key endpoints to meet real-time serving constraints