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Strong employer brand, popular SRE role title, metro location, and broad required tech stack increase candidate competition.
Core SRE skills like Kubernetes, cloud, IaC, and observability are broadly transferable across industries.
Many mandatory platform, cloud, Kubernetes, IaC, and programming skills required despite no explicit years listed.
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Design, build, and operate large-scale cloud infrastructure and production services with a focus on reliability and automation.
Lead incident response, define and improve SLIs, SLOs, and error budgets to ensure service reliability and scalability.
Drive technical leadership and collaboration across multiple teams to improve operational excellence and deploy AI-assisted engineering techniques.
Strong experience operating large-scale production services on AWS and/or GCP with Kubernetes expertise in production environments.
Proficiency in Infrastructure as Code tools such as Terraform and Helm and software engineering skills in Golang and/or Python.
Experience leading incident response, reliability engineering principles, and CI/CD pipeline automation practices.
Work Experience Required: Not explicitly mentioned in the JD.
Technical leader comfortable working across multiple globally distributed teams, influencing architectural and operational decisions.
Engineer with deep expertise in Kubernetes-based microservices, cloud networking, and distributed data platforms like PostgreSQL, Redis, or OpenSearch.
Developer focused on automation-first operational practices, including building internal platforms and leveraging AI-assisted operational tools.