Principal Site Reliability Engineer

Role Overview

• Define and execute the long-term strategy for our Kubernetes platform across Google Kubernetes Engine, Amazon Elastic Kubernetes Service, RKE2, and on-premise environments, ensuring reliability, scalability, and operational consistency.
• Drive architectural decisions across critical infrastructure, including cluster lifecycle management, networking, identity and access management, observability, autoscaling, capacity planning, and cost optimization.
• Lead large-scale platform initiatives across multiple engineering teams, establishing technical direction, engineering standards, and measurable outcomes that improve platform reliability and developer experience.
• Establish and evolve reliability practices by defining service level objectives, service level indicators, and error budget frameworks that align platform performance with business priorities.
• Build automation-first infrastructure through Infrastructure as Code, GitOps workflows, self-healing systems, and internal platform tooling that improve engineering velocity and reduce operational overhead.
• Champion the responsible adoption of AI-powered engineering capabilities that improve operational efficiency, accelerate incident response, and enhance developer productivity.
• Lead critical platform incidents, drive post-incident improvements, and strengthen platform resilience through automation, capacity planning, and operational excellence.
• Mentor senior engineers, influence technical strategy across the organization, and elevate engineering excellence through architecture reviews, coaching, and technical leadership.

Requirements

• A Bachelor's Degree in Computer Science or a related technical field.
• At least 8 years of experience designing, operating, and scaling distributed cloud and on-premise infrastructure, including at least 3 years operating at the Staff, Principal, or equivalent technical leadership level.
• Proven experience leading large-scale infrastructure or platform initiatives that require cross-functional alignment and long-term technical ownership.
• Deep expertise with Kubernetes, including cluster architecture, networking, storage, security, operators, lifecycle management, and large-scale production operations.
• Extensive experience building and operating production infrastructure in AWS and Google Cloud Platform using Infrastructure as Code technologies such as Terraform, Pulumi, or similar tools.
• Strong software development experience in Go, Python, or both, with expertise in GitOps, continuous integration and continuous delivery, observability, distributed systems, Linux, and reliability engineering principles.
• Experience incorporating AI-powered tools into engineering workflows while applying sound judgment around reliability, security, and operational risk.
• Exceptional communication and leadership skills with a proven ability to mentor engineers, influence technical strategy, and drive engineering excellence.
• Experience working in regulated industries, hybrid cloud environments, contributing to open-source projects, or holding cloud certifications is preferred.

Tech Stack

• AWS
• Cloud
• Distributed Systems
• Google Cloud Platform
• Kubernetes
• Linux
• Python
• Terraform
• Go

Benefits

• Bonuses
• Equity
• Benefits as applicable