Principal Site Reliability Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and implement the long-term strategy for our Kubernetes platform across Google Kubernetes Engine, Amazon Elastic Kubernetes Service, RKE2, and on-premise setups, ensuring reliability, scalability, and operational consistency.

• Drive architectural decisions related to critical infrastructure, including cluster lifecycle management, networking, identity and access management, observability, autoscaling, capacity planning, and cost optimization.

• Lead large-scale platform initiatives across various engineering teams, establishing technical direction, engineering standards, and measurable outcomes that enhance platform reliability and developer experience.

• Establish and advance reliability practices by defining service level objectives, service level indicators, and error budget frameworks that align platform performance with business goals.

• Build an automation-first infrastructure through Infrastructure as Code, GitOps workflows, self-healing systems, and internal platform tools that enhance engineering velocity and minimize operational overhead.

• Advocate for the responsible integration of AI-driven engineering capabilities that boost operational efficiency, expedite incident response, and improve developer productivity.

• Lead major platform incidents, drive improvements post-incident, and enhance platform resilience through automation, capacity planning, and operational excellence.

• Mentor senior engineers, influence technical strategy organization-wide, and elevate engineering excellence through architecture reviews, coaching, and technical leadership.

⛳️ Requirements

• A Bachelor's Degree in Computer Science or a related technical discipline.

• A minimum of 8 years of experience in designing, operating, and scaling distributed cloud and on-premise infrastructure, including at least 3 years in a Staff, Principal, or equivalent technical leadership position.

• Demonstrated experience in leading large-scale infrastructure or platform initiatives that necessitate cross-functional collaboration and long-term technical ownership.

• In-depth expertise in Kubernetes, covering cluster architecture, networking, storage, security, operators, lifecycle management, and large-scale production operations.

• Extensive experience in building and managing production infrastructure in AWS and Google Cloud Platform using Infrastructure as Code technologies such as Terraform, Pulumi, or similar tools.

• Strong software development background in Go, Python, or both, with expertise in GitOps, continuous integration and continuous delivery, observability, distributed systems, Linux, and reliability engineering principles.

• Experience integrating AI-powered tools into engineering workflows while applying sound judgment regarding reliability, security, and operational risks.

• Exceptional communication and leadership abilities with a proven track record of mentoring engineers, influencing technical strategy, and promoting engineering excellence.

• Experience in regulated industries, hybrid cloud environments, contributing to open-source projects, or holding cloud certifications is preferred.

🏝️ Benefits

• Bonus

• Equity

• Benefits as applicable