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Software Engineer, SRE

Building AI programming tools with radical contextual awareness of codebases to augment developers and keep them in flow.
$225,000 - $300,000
Site Reliability
Senior Software Engineer
In-Person
5+ years of experience
AI

Description For Software Engineer, SRE

Augment Code is an innovative AI company focused on enhancing developer productivity through advanced programming tools. As a Software Engineer, SRE, you'll play a crucial role in building and maintaining the infrastructure that powers their AI-driven development tools. The position offers an opportunity to work with cutting-edge technologies including Kubernetes, GCP, and Go, while taking ownership of critical infrastructure projects.

The role combines traditional SRE responsibilities with the unique challenges of supporting AI and machine learning workflows. You'll be responsible for designing and implementing scalable infrastructure, managing cloud resources, and ensuring robust monitoring and observability systems are in place. The position requires strong technical skills in Linux systems, containerization, and cloud platforms, with a particular focus on GCP.

Working from their Palo Alto office, you'll collaborate with engineers and researchers to support model training and deployment, making a direct impact on the company's mission to augment developer capabilities. The compensation is highly competitive, ranging from $225,000 to $300,000, complemented by comprehensive benefits including equity, unlimited PTO, and full health coverage.

This is an ideal opportunity for a senior-level engineer who values autonomy, enjoys working with cutting-edge AI technology, and wants to contribute to tools that enhance developer productivity. The role offers the perfect blend of technical challenges, ownership, and the chance to work on infrastructure that supports the future of software development.

Last updated a day ago

Responsibilities For Software Engineer, SRE

  • Design, implement, and maintain scalable infrastructure to support AI products and research workflows
  • Build and maintain monitoring and observability systems for uptime, performance, and alerting
  • Manage cloud infrastructure (with a focus on GCP) and ensure efficient, reliable operation
  • Deploy and operate containerized services using Kubernetes
  • Collaborate with engineers and researchers to build systems that support model training and deployment
  • Take full ownership of infrastructure projects — from design to deployment

Requirements For Software Engineer, SRE

Go
Kubernetes
Linux
  • Demonstrated ability to work independently and drive technical projects to completion
  • Strong Linux systems experience
  • Experience with monitoring systems
  • Proficiency with containers (Kubernetes)
  • Familiarity with cloud platforms (GCP preferred)
  • Hands-on experience with Google Cloud Platform (GCP)
  • Strong programming skills in Go, Shell and Jsonnet
  • Experience developing production services in Go or Python

Benefits For Software Engineer, SRE

Medical Insurance
Dental Insurance
Vision Insurance
  • Flexible work hours
  • Competitive salary & Equity
  • Tools Stipend
  • Health, Dental, Vision and Life Insurance
  • Short Term and Long Term Disability
  • Unlimited Paid Time Off + Holidays
  • Numerous company social events

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