Principal Site Reliability Engineer

• Architect and implement various cloud and on-premise applications, systems, and infrastructure
• Integrate extremely diverse systems, configure stable integration, uptime, and monitoring
• Work with edge devices of various formats and integrate them with on-prem and cloud workflows
• Optimize the performance and throughput of the system at the filesystem, networking, and software levels
• Optimize cost, operational stability, and supportability of highly diverse platforms and tech stack

This role creates intelligent machinery that helps farmers, construction crews, and foresters implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor through technical breakthroughs in AI, machine learning, computer vision, and robotics.

• 8+ years of experience building infrastructure with K8S, AWS, and bare metal
• 8+ years of experience working with Python and Go (with production experience)
• 8+ years of experience working with infra automation tools: Terraform/Terragrunt (or Pulumi/CDK)
• 8+ years experience with Linux-based systems and networks, and deep understanding of internal components, networking, and security aspects
• Experience in building CI/CD pipelines using GitHub Actions (or GitLab/Jenkins) for application release and deployment
• Experience in using AWS ECS, EKS, IAM, EC2, and RDS at production scale
• Deep understanding of Kubernetes and its internals and experience with building and extending clusters from scratch

The US annual base salary range for this position is $166,000 - $293,000, along with eligibility for Blue River's bonus and benefit programs. The company is dedicated to building a diverse and inclusive workplace and provides reasonable accommodation for individuals with disabilities.

Blue River Technology is a team of innovators driven to create intelligent machinery that solves monumental problems for customers in agriculture, construction, and forestry, partnering with John Deere to create technical breakthroughs through AI, machine learning, computer vision, and robotics.