Backend Engineer, Data Centers

Location

San Francisco

Full time

Hybrid

Data Centers

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‑check solutions, and worrying how the ever‑increasing complexity of the system they manage will break.

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.

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.

• Working in Go and Python, ensure back‑wards 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.

We think about Meter's compensation package as a combination of salary, equity, benefits, and the experience of working with a talented team to make the biggest impact of your career.

• The estimated salary range for this role is $170,000 - $220,000.
• This role is eligible to participate in Meter's equity plan.

• Medical, dental & vision insurance coverage for you and your dependents.
• Annual memberships to One Medical, Headspace, and Wellhub.
• 401k (traditional and Roth options available).
• Flexible time off (FTO).
• Commuter reimbursement.
• Parental Leave.
• In‑house chef and onsite meals (San Francisco office).