In this role, you will contribute to building resilient and performant systems that process large volumes of infrastructure metadata and make it accessible for product teams and customers alike. Youll work alongside experienced engineers and gain exposure to platform-wide initiatives across ingestion, processing, and query pipelines.
What Youll Do:
Collaborate with engineers on the REDAPL team to design, implement, and maintain scalable backend systems for processing infrastructure data
Participate in system design discussions and contribute to decisions around performance, reliability, and cost-effectiveness
Write high-quality, well-tested code and contribute to continuous improvements in system operability and developer experience
Support product teams as they integrate with REDAPL, helping them build reliable features on top of our platform
Help debug and resolve production issues, participating in on-call rotations as needed
Requirements:
You have 3+ years of experience working in backend or platform engineering, with exposure to distributed systems
You are comfortable writing code in at least one server-side language (such as Go, Java, Python, or Ruby)
You have worked with production data stores and understand core tradeoffs between different types of databases (e.g. relational, key-value, document, columnar)
You care about code quality, system resilience, and learning from peers through reviews and collaboration
Youre motivated to learn and grow in a high-scale environment, with support from experienced engineers
You have a degree in Computer Science, Engineering, or a related field-or equivalent practical experience
Youre excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
You have 3+ years of experience working in backend or platform engineering, with exposure to distributed systems
You are comfortable writing code in at least one server-side language (such as Go, Java, Python, or Ruby)
You have worked with production data stores and understand core tradeoffs between different types of databases (e.g. relational, key-value, document, columnar)
You care about code quality, system resilience, and learning from peers through reviews and collaboration
Youre motivated to learn and grow in a high-scale environment, with support from experienced engineers
You have a degree in Computer Science, Engineering, or a related field-or equivalent practical experience
Youre excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
This position is open to all candidates.
