Backend Engineer, Data Centers

Meter

San Francisco (CA)

Hybrid

USD 170,000 - 220,000

Full time

14 days+

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Benefits offered by this job

Medical, dental & vision insurance
401k with traditional and Roth options
Flexible time off
Commuter reimbursement
Parental Leave
In-house chef and onsite meals

Job summary

A tech solutions provider in San Francisco seeks a talented individual to contribute to data center switching products. In this role, you will work with firmware and frontend teams, building scalable data pipelines and ensuring performance across key endpoints. The ideal candidate will have experience in Go and Python, and a solid understanding of data management processes. This position offers a competitive salary range of $170,000 - $220,000 along with comprehensive benefits including medical coverage, flexible time off, and equity participation in the company.

Qualifications

  • Experience building scalable data pipelines.
  • Ability to ensure backwards compatibility in evolving schemas.
  • Familiarity with CI/CD workflows.

Responsibilities

  • Build and maintain scalable data pipelines for ingestion and transformation.
  • Ensure performance across key endpoints for real-time data serving.
  • Collaborate with teams to design training and evaluation pipelines.

Skills

Experience with Go
Experience with Python
Understanding of APIs
Knowledge of Kafka
Knowledge of Postgres
Knowledge of Clickhouse

Job description

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.

You will have an impact by
  • Working in Go and Python, ensuring backwards compatibility and feature versioning across constantly evolving schemas
  • Building scalable pipelines for ingesting, transforming, and serving petabytes of data across Kafka, Postgres, and Clickhouse
  • Creating CI/CD workflows that evolve the API in lockstep with changes to the underlying data schema
  • Enabling fine-grained querying of historical and real-time data for any network, at any point in time
  • Helping define and enforce the principle of "smart data, dumb functions": doing as much as possible in the data layer to keep downstream code minimal
  • Collaborating with modelers to co-design training and evaluation pipelines that are reproducible, debuggable, and fast
  • Owning performance across key endpoints to meet real-time serving constraints
Compensation

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.
  • Additionally, this role is eligible to participate in Meter's equity plan.

The salary range represents the low and high end of the salary range for this job in the Bay Area. The actual salary offer will carefully consider a wide range of factors such as your skills, qualifications and experience.

Benefits
  • 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)
Compensation
  • The estimated salary range for this role is $163,000 - $220,000.
  • Additionally, this role is eligible to participate in Meter's equity plan.

By applying to this job you acknowledge that you've read and understood Meter's Job Applicant Privacy Notice.

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