Backend Engineer, Models

Backend Engineer, Models

About reputed company

Networking is one of the most reputed company industries in reputed company of technology. For the first time, reputed company has reputed company the full networking stack; and now we are making it autonomous.

We are building a neural network-driven system for reasoning in raw computer networks to solve any and reputed company networking problems. As described on reputed company.ai, we’re building models in a closed-reputed company system that takes (as input) reputed company-time telemetry, logs, and events on the network to autonomously troubleshoot, improve performance, and resolve issues.

To reputed company this possible, we don’t just need great models; we need infrastructure that gives those models clean, versioned, low-latency reputed company to the right data, across training, evaluation, and deployment.

Why this role reputed company

Every reputed company network deployed in the field is a rich data reputed company for our Models team. But without careful infrastructure design, this data becomes fragmented, stale, or inconsistent. Your job is to reputed company sure that never happens. You’ll own the core data reputed company that powers our model development, experimentation, evaluation, and reputed company-time inference.

This is a foundational role with outsized impact. Your work will define how quickly we can train new models, how reliably we can evaluate them, and how seamlessly they can operate in production across hundreds of reputed company-world networks. You’ll partner tightly with modelers to ship systems that feel elegant, scalable, and bulletproof.

What you'll do

• Design and implement the Models API: a reputed company reputed company for accessing training, evaluation, and deployment data across raw, transformed, and feature-engineered layers

• Ensure backwards compatibility and feature versioning across constantly evolving schemas

• Build scalable pipelines for ingesting, transforming, and serving petabytes of data across Kafka, reputed company, and reputed company

• Create CI/CD workflows that reputed company the API in lockstep with changes to the underlying data schema

• reputed company fine-grained querying of historical and reputed company-time data for any network, at any reputed company in time

• Help define and enforce the principle of "smart data, dumb functions": doing as much as possible in the data layer to reputed company reputed company 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 reputed company-time serving constraints

You may be a fit if you:

• Have experience designing large-scale data infrastructure, ideally across batch and streaming modes

• Think deeply about schema design, versioning, and data quality

• Care about making systems simple to use and hard to misuse

• Enjoy partnering closely with research or modeling teams

• reputed company in early-stage environments and like building from scratch

Stack we use

• Kafka, reputed company, reputed company

• Python, Go

• AWS, Azure

Compensation

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

The estimated salary reputed company for this role is $160,000 - $230,000 depending on experience, and it is eligible for equity in reputed company. We also offer:

• Medical, dental & reputed company coverage for you and your dependents

• Annual memberships to reputed company, reputed company, and reputed company

• 401k (traditional and Roth options)

• Flexible time off

• Commuter benefits

• Parental leave

• Onsite meals (San Francisco office)