Tech Stack

Description

You will design, build, and optimize the data systems powering Ridgeline's enterprise SaaS platform, solving challenges around scale, performance, availability, and cost while delivering a best-in-class developer experience. You'll collaborate with application and infrastructure teams to develop efficient, resilient data solutions and leverage AI tools like GitHub Copilot and ChatGPT to enhance productivity.

Requirements

• 5+ years experience in software or infrastructure engineering with deep expertise in data persistence or distributed systems
• Experience building and operating distributed OLTP SQL systems (e.g., SingleStore, CockroachDB) and single-writer systems (e.g., Postgres)
• Hands-on experience with OLAP data stores such as ClickHouse or Apache Iceberg on S3
• Strong background in high availability and disaster recovery strategies
• Solid experience with AWS services (Aurora RDS, S3, ECS, Lambda) and proficiency in Kotlin, Java, or TypeScript

Responsibilities

• Design and develop cloud-native data storage solutions for a multi-tenant SaaS platform
• Optimize data access patterns and improve end-to-end application performance
• Drive RPO and RTO improvements through high-availability architectures and disaster recovery
• Support high-throughput, low-latency workloads with data partitioning, caching, and indexing
• Improve observability via database monitoring, automation, and performance telemetry