Distributed Systems Engineer, Selector AI

Golang

$150-180k

AWS

Docker

GCP

Python

REST API

Golang

FastAPI

Mid and Senior level

San Francisco Bay Area

Office located in Santa Clara, CA

AIOps platform for operational intelligence

Job no longer available

AIOps platform for operational intelligence

101-200 employees

B2BSecuritySaaSCloud Computing

Job no longer available

$150-180k

AWS

Docker

GCP

Python

REST API

Golang

FastAPI

Mid and Senior level

San Francisco Bay Area

Office located in Santa Clara, CA

101-200 employees

B2BSecuritySaaSCloud Computing

Company mission

To help teams understand, troubleshoot, and operate complex infrastructure using AI-native observability and correlation.

Job

Company

Role

Who you are

Data Infrastructure Engineer role requires 3-5 years of experience in coding and maintaining scalable microservices using Golang and Python
The ideal candidate has a computer science degree, proficiency in relevant technologies like FastAPI, concurrent programming, data pipelines, and experience with cloud platforms (GCP/AWS/Docker) and CI tools, along with strong analytical and communication skills
Bachelor's degree in computer science, or similar field
3-5 years of relevant coding experience
Strong experience with Golang; Experience with Python (Fast API, Pytest, Async I/O, Packaging); Experience with Concurrent programming, Data Pipelines, Packet processing, GRPC, Protobuf. Golang test framework is desirable
Experience with GCP/AWS/Docker/ CI Tools
Strong analytical & problem-solving skills
Strong communication and comprehension skills, both verbal and written

What the job involves

Key responsibilities include building REST APIs, creating unit and integration tests within a CI/CD pipeline, and providing platform support
Build data ingestion for large scale ingest; Strong golang and python experience building distributed systems
Write, review, deploy, and maintain code in Goland and Python
Build services with a scale-out architecture for micro servicesbased deployments
Develop REST APIs for services
Create unit and integration tests for your services and integrate with CI/CD pipeline
Provide support for features and platform

Our take

Selector AI is an AIOps solution that provides 360-degree visibility across a company’s complex network, infrastructure and applications. Especially useful for cloud network providers and telecom companies with large, complex and connected customer bases, Selector’s clients include the likes of NBC and Lumen who leverage the technology to mine deep insights from problems across their networks.

Selector’s AI-powered event intelligence platform effectively diagnoses the root cause of network and infrastructure errors. The company’s 2024 Series B round is being used to expand its presence, with new offices across the US, Canada, Europe, Singapore, India and Japan. This indicates the company’s move into an ambitious period of growth after 5 years of developing its product.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 4 rounds)

Feb 2026

$32m

LATE VC

Nov 2024

$33m

SERIES B

Total funding: $98m

Company benefits

Participate in Our Success - Selector offers competitive equity packages that allow employees to participate in the company’s success
Healthcare - Along with comprehensive dental, vision, and health benefits, Selector employees also have optional participation in flexible spending and health savings account programs
Flexibility - Taking time off keeps our team members fresh and engaged. We offer unlimited PTO in most geographies
Retirement Benefits - Employees are eligible to participate in the company’s 401K and Roth 401K plans
Insurance - Selector provides basic life insurance, an optional supplemental Life & AD&D insurance plan, and short and long-term disability benefits
A Hybrid Work Environment - At Selector, our team members can combine in-office and remote work to meet their unique requirements. We also offer entirely remote positions

Company HQ

Santa Clara, CA

Leadership

Nittin Kumar

(Co-Founder & CTO)

Previously VP of Juniper Networks, Senior Software Engineer at Procket Networks and FORE Systems.

Kannan Kothandaraman

(Co-Founder & CEO)

Previously VP of Product Line Management at Juniper Networks and Software Engineer at Cisco Systems.

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