Senior Backend Engineer - Go, Kubernetes, Distributed

DevZero

United States

Remote

USD 140,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Remote-first culture
Health, dental, and vision insurance
Unlimited PTO
Home office stipend
Learning and development budget

Job summary

DevZero is seeking a Senior Backend Engineer to design and scale the core systems powering our Kubernetes optimization platform. You will build distributed services in Go and own data pipelines that process Kubernetes metrics at scale.

You will collaborate with ML teams on predictive scaling, ensure high availability, and work with Kubernetes APIs and controllers. This role offers impact on cost and performance within a fast-growing US startup.

Qualifications

  • 5+ years of backend engineering experience
  • Strong proficiency in Go
  • Deep experience with Kubernetes internals and APIs
  • Experience building distributed systems and data pipelines
  • Familiarity with cloud providers (AWS, GCP, Azure)
  • Understanding of database systems (PostgreSQL, TimescaleDB)
  • Strong problem-solving skills and attention to detail

Responsibilities

  • Design and implement backend services in Go
  • Build data pipelines for processing Kubernetes metrics at scale
  • Develop optimization algorithms for resource rightsizing and bin packing
  • Work with Kubernetes APIs, operators, and custom controllers
  • Ensure high availability and reliability of our platform
  • Collaborate with ML engineers on predictive scaling models

Skills

Go
Distributed systems
Data pipelines
Kubernetes
Cloud providers
PostgreSQL
TimescaleDB
Problem solving
Kubernetes APIs

Tools

gRPC
Protocol Buffers
CRIU

Job description

DevZero is seeking a Senior Backend Engineer to design and scale the core systems powering our Kubernetes optimization platform. You will build distributed services in Go and own data pipelines that process Kubernetes metrics at scale.

You will collaborate with ML teams on predictive scaling, ensure high availability, and work with Kubernetes APIs and controllers. This role offers impact on cost and performance within a fast-growing US startup.

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