Live opening · Posted 2 days ago
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About the role
Description supplied by the original job listing.
This is a Fully Remote Job
About Our Client:
The organization operates in the AI connectivity and API management industry, addressing challenges related to securing, managing, and accelerating the flow of intelligence across APIs and AI traffic. It offers a unified platform trusted by large enterprises and AI-native startups to govern and monetize AI and API interactions across various cloud environments.
About the Opportunity:
The SENIOR SITE RELIABILITY ENGINEER - VOLCANO will lead the reliability efforts for an internal developer platform designed to support engineering teams with on-demand environments and managed services. This role is pivotal in defining and maintaining the platform’s reliability standards, infrastructure, and operational practices, directly influencing the development and success of the next-generation platform.
Responsibilities:
Define and manage service level objectives, error budgets, and incident response for all platform services.
Design and develop multi-region Kubernetes infrastructure, networking, and data planes.
Implement deployment automation and continuous integration pipelines using tools like ArgoCD, Helm, and Terraform/Terragrunt.
Operate and scale managed data services including PostgreSQL, Redis, and object storage with attention to isolation, performance, and disaster recovery.
Establish comprehensive observability through instrumentation, dashboards, alerts, and runbooks before service launch.
Collaborate with cross-functional teams to integrate reliability and compliance into platform architecture.
Assess and incorporate emerging technologies relevant to the platform’s development.
Requirements:
Bachelor’s degree in Computer Science or equivalent experience.
Extensive experience at staff or principal level in site reliability engineering or platform engineering.
Proven success in building SRE or platform engineering practices for developer-facing or PaaS/SaaS platforms, especially at early stages.
Expertise in Kubernetes, including multi-tenant cluster design, networking, autoscaling, and security.
Pay Range and Compensation Package:
The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.
Work arrangement
Yes
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