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Cline

Autonomous AI coding agent for IDEs

Senior Infrastructure Engineer

Site Reliability Engineering +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Six to eight or more years of experience in infrastructure, site reliability engineering, or platform engineering roles.
  • Expertise in cloud infrastructure using AWS, GCP, or Azure, and container orchestration using Kubernetes and Helm.
  • Strong background in distributed systems, networking, and performance optimization.
  • Proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation.
  • Programming or scripting skills in Python, Go, or Bash.
  • Hands-on experience with monitoring, observability, and incident response.

Responsibilities

  • Design and operate scalable, low-latency infrastructure for large language model inference, caching, and distributed APIs.
  • Build reliable and observable systems, defining service-level agreements, service-level indicators, and service-level objectives for core services.
  • Drive cloud infrastructure strategy, including networking, security, and cost optimization.
  • Implement continuous integration and continuous delivery pipelines and developer productivity tooling to accelerate shipping velocity.
  • Collaborate with engineers to productionize artificial intelligence models and optimize resource utilization, including graphics processing unit scheduling and autoscaling.
  • Identify and resolve bottlenecks to ensure high availability and resiliency across systems.
  • Mentor engineers, lead cross-functional technical projects, and contribute to the long-term infrastructure roadmap.

About the Company

Cline

Autonomous AI coding agent for IDEs

Cline.bot embeds an autonomous AI coding agent into developers’ IDEs, acting as a coding partner to generate, edit, debug code and run terminal commands. It integrates directly into the coding environment, using advanced AI models to assist on the codebase and is fully extensible with an open-source foundation. It differentiates itself with an open-source, extensible platform, transparent code, and seamless IDE integration with unrestricted AI model access. Its goal is to boost developer productivity by enabling autonomous, collaborative coding within a shared codebase.

Company size
11-50
Company stage
Series A
Total funding
$32M
Headquarters
San Francisco, CA
Founded
2024

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