Requirements

Enrolled in a full-time Bachelors or Masters degree in Computer Science or a related field
Knowledge of any programming language such as Go, C#, Python, Ruby on Rails, or Javascript
Bias for action and ownership, willing to ship work, learn from mistakes, and take responsibility
Curious mindset, asking “why?” and “what if?”
Enjoy collaboration in person and giving/receiving feedback
Passion for building features, tools, or ideas and seeing their impact
Comfortable working in fast-paced, changing environments
Maintain a low ego with humility and focus on the wider mission

What you'll be doing

Joining a product team from day one, participating in stand-ups, code reviews, and having production access
Picking up real work alongside full-time engineers and owning at least one meaningful project end to end
Working with technologies including Go, TypeScript with React, Postgres, Google Cloud (GKE, Cloud SQL), Terraform, BigQuery, PubSub, Cloud Storage
Using monitoring tools such as Sentry, Grafana + Prometheus, and Kibana; testing and deployment through CircleCI
Contributing to AI-native features that investigate incidents, explain issues, and automate fixes
Having unlimited AI spending from the first week for internal use
Receiving mentorship and support while being treated as a full-time engineer with real ownership and deadlines

Work with a rapidly growing company trusted by major clients like Netflix and Etsy
Opportunity to contribute to real production code immediately after joining
Experience in leading-edge AI-driven incident management solutions
Supportive environment with senior engineers and proper mentorship
Unlimited internal AI usage from week one