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) real-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 access to the right data, across training, evaluation, and deployment.
Why this role matters
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 real-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 real-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 evolve the API in lockstep with changes to the underlying data schema
reputed company fine-grained querying of historical and real-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 real-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 range 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 & vision 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)