Staff Software Engineer, Caper

OVERVIEW

About the Role

Caper is one of the critical pillars of Instacart’s newly unveiled Connected Store technology. Caper offers smart shopping carts powered by deep learning and computer vision to enable a seamless grab-and-go retail experience. The Caper Backend team is currently seeking a strong, self-motivated Staff Software Engineer to join us in shipping new product features and scaling our backend systems with orders of magnitude growth in mind.

About the Team

Caper builds smart shopping carts that provide magical shopping experiences. The Caper Backend team owns the entirety of the backend software that powers Caper products, including backend services, data pipelines, data warehouses, cloud infrastructure and devops. The team works closely with FE teams, product teams, other Instacart teams, and retailers to constantly seek opportunities in improving Caper product offerings. 

ABOUT THE JOB

• Architect, design and lead the implementation of high quality, scalable, and elegant software solutions.
• Ship and maintain software systems, across the stack and across the entire lifecycle, with hands-on skills, while being part of a small team with large scope.
• Navigate ambiguity effectively, influence product decisions and seek alignment with cross functional teams.
• Identify technical/process improvements, define the technical directions of the team and support the growth of the team.

ABOUT YOU

Minimum Qualifications

• Self-motivation and an enjoyment for a startup environment
• A strong sense of ownership
• Solid understanding of common backend technologies across the stack in a production environment and strong system design skills
• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent work experience

Preferred Qualifications

• Ship backend services on cloud infrastructure (GCP, AWS)
• Architect large-scale distributed systems
• Build product features from scratch
• Instacart and Caper’s technology is constantly evolving and adapting. Some of the technologies you would use in our teams include:
• Java, Ruby, Go, gRPC, bazel, MongoDB, PostgreSQL, Snowflake, BigQuery, Kubernetes