Deployment Engineer

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🕒 April 16

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Logo of Supabase

Supabase

51 - 200 employees

Founded 2020

☁ SaaS

🔌 API

đŸ€– Artificial Intelligence

💰 $80M Series B on 2022-05

SaaS ‱ API ‱ Artificial Intelligence

Supabase is an open source alternative to Firebase, providing a range of backend tools designed to help developers start and scale their applications effectively. It offers features such as a full Postgres database, authentication with Row Level Security, instant APIs, Edge Functions for custom code, real-time data synchronization, and storage for large files. Developers can integrate machine learning models, utilize RESTful APIs, and take advantage of platform-integrated best of breed products. Supabase is designed to be highly portable, extendable, and user-friendly, making it a powerful choice for startups and enterprises looking to innovate quickly and efficiently.

📋 Description

‱ Build and maintain the Multigres Operator - Maintain our Go-based Kubernetes operator that orchestrates distributed Postgres deployments ‱ Architect cloud deployment infrastructure - Design and implement robust deployment patterns for EKS and other Kubernetes platforms ‱ Manage storage and networking layers - Work with CSI drivers, persistent volumes, and cross-cloud networking to ensure data reliability and connectivity ‱ Develop deployment tooling - Create internal tools and automation for provisioning, scaling, and managing Multigres clusters ‱ Ensure operational excellence - Build monitoring, alerting, and diagnostic capabilities into the deployment layer ‱ Collaborate across teams - Work with database engineers, SRE, and product teams to deliver seamless deployment experiences

🎯 Requirements

‱ Strong systems programming skills - Proficiency in Go and experience building production-grade operators or controllers ‱ Deep Kubernetes expertise - Hands-on experience with Kubernetes internals, custom resources, and cloud-managed Kubernetes services (EKS, GKE, AKS) ‱ Database operations knowledge - Understanding of database deployment patterns, backup/restore, replication, and high availability ‱ Distributed systems experience - Familiarity with consensus protocols, failure scenarios, and designing for resilience ‱ Cloud infrastructure background - Experience with cloud-native deployment tooling, IaC (Terraform, Pulumi), and cloud provider APIs ‱ Production operations mindset - Track record of building reliable, observable, and maintainable systems

đŸ–ïž Benefits

‱ Fully Remote ‱ ESOP ‱ Tech Allowance ‱ Health Benefits ‱ Annual Off-Sites ‱ Flexible Work ‱ Professional Development

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