Senior Backend Engineer (Remote) - Equity & Unlimited PTO

DevZero; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Unlimited PTO

Home office stipend

Learning and development budget

Equity

Job summary

DevZero is seeking a senior backend engineer to build and scale services that optimize Kubernetes infrastructure. You will work on distributed systems, metrics pipelines, and resource-allocation algorithms to improve utilization and cost efficiency.

You'll design and implement Go services, integrate with Kubernetes, and collaborate with ML engineers on predictive scaling models. This is a remote, full-time role based in the United States with generous equity and benefits.

Qualifications

• At least five years of backend engineering experience.
• Strong proficiency in Go.
• Deep knowledge of Kubernetes internals and APIs.
• Experience building distributed systems and data pipelines.
• Familiarity with AWS, Google Cloud, or Azure.
• Understanding of PostgreSQL, TimescaleDB, or comparable database systems.

Responsibilities

• Design and implement backend services in Go.
• Build pipelines that process Kubernetes metrics at scale.
• Develop rightsizing and bin-packing algorithms for workload resources.
• Integrate with Kubernetes APIs, operators, and custom controllers.
• Maintain platform availability and reliability.
• Collaborate with machine-learning engineers on predictive scaling models.

Skills

Go programming

Backend engineering

Distributed systems

Data pipelines

Kubernetes knowledge

Cloud platforms

Problem solving

Tools

PostgreSQL/TimescaleDB

Job description

DevZero is seeking a senior backend engineer to build and scale services that optimize Kubernetes infrastructure. You will work on distributed systems, metrics pipelines, and resource-allocation algorithms to improve utilization and cost efficiency.

You'll design and implement Go services, integrate with Kubernetes, and collaborate with ML engineers on predictive scaling models. This is a remote, full-time role based in the United States with generous equity and benefits.