Senior Software Engineer - GoLang, Kubernetes & Database Platform

implementing and running our database infrastructure to build a robust and scalable database-as-a-service platform.

What You ll Do

• Build an extraordinary database-as-a-service platform that will provide streamlined cloud services for our customers using MySQL, PostgreSQL, Redis, and Kubernetes
• Write efficient and optimized code to build tools and applications that facilitate database management and orchestration
• Monitor and optimize databases to ensure high availability, performance, and security
• Develop and maintain Kubernetes Operators (controllers) in Go to automate databases and related resources.
• Develop automation for database and Kubernetes-related tasks such as provisioning, backup, scaling, and monitoring.
• Champion best practices for database high availability, performance tuning, and security across the platform.

Your Qualifications

Must-have:

• 4+ years of extensive experience building and running infrastructure, platforms, highly scalable databases and database infrastructure.
• Experience in software development using Go. Deep, hands-on experience with Kubernetes, including the development of custom controllers/operators.
• BS/MS in Engineering, or education/experience in a relevant field. Computer Science preferred.
• Knowledge and experience with cloud platforms (e.g., AWS, Azure Google Cloud) and their managed database services (e.g., RDS, Amazon Aurora, Elasticache).
• Solid understanding of the Linux operating system and concepts such as virtual machines and containers.
• Experience in infrastructure as code frameworks (Terraform).
• Experience working with Agile methodologies.
• Strong problem-solving skills with ability to diagnose and to address and resolve sophisticated database-related issues in production environments.
• Excellent communication skills both verbally and in writing with a passion for growth and collaboration.

Nice-to-have:

• Proficiency in MySQL, PostgreSQL, and/or Redis including schema design, query optimization, and performance tuning.
• Direct experience building or operating a DBaaS platform in production environments.
• Experience with graph databases, vector databases, and distributed databases.
• Experience with Kubernetes-native control planes like Crossplane for managing and provisioning cloud resources declaratively.
• Experience with GitOps workflows for deploying and managing Kubernetes-based services, using tools like ArgoCD and configuration templating solutions such as Helm.