Engineering Co-Op (Spring) - Insights Team - Remote

Overview

CloudZero is seeking an Engineering Co-op to join Team Dev/Null (Insights), the group responsible for building and maintaining several core areas of the CloudZero product, including the new Optimize feature. The Optimize feature provides actionable insights and concrete recommendations for managing cloud spend, as well as a dashboard of actual realized savings. The /Dev/Null team is also responsible for the Cost Formation language, Views, and Slack Integration, among other areas.

In Short

• Build and enhance features that help customers understand their cloud spend and opportunities to manage that spend
• Own a scoped technical project for the first ~3 months of your co-op and see it through from design to delivery
• Collaborate with engineers, product managers, and your mentor on solutions that ship to real customers
• Participate in team rituals like standups, refinement, planning, retros, and demos
• Contribute to internal improvements - from monitoring and testing, to documentation and automation
• Transition into the team's day-to-day engineering work for the second half of your co-op

Requirements

• A 2nd or 3rd year Computer Science undergraduate co-op student (Northeastern University, Spring 2026 cycle)
• Solid foundation in programming fundamentals (data structures, algorithms, etc.)
• Exposure to backend languages like Python or Go (schoolwork or personal projects is great!)
• Comfortable in a Linux-based development environment and using git
• Excited to work on real-world systems and contribute to team outcomes
• Curious, collaborative, and eager to learn - you ask questions and take ownership

Benefits

• This is not a throwaway or shadowing role. Your work will ship to production, impact real customers, and matter to the team.
• You'll be supported by a dedicated manager, an assigned mentor, and a culture that values pairing, feedback, and experimentation.
• How modern cloud-native systems operate at scale using technologies like AWS Lambda, Step Functions, DynamoDB, and Snowflake
• How to write production-ready code and deploy it safely to real systems
• How cross-functional product teams collaborate to deliver customer-facing value
• What it's like to work in a professional engineering environment - from code review to incident response to celebrating a feature launch
• A strong understanding of how production systems are built and operated
• Experience working in a real engineering team on an active product
• A project you can confidently talk about in future interviews (with real technical depth)