Senior Software Engineer, Instacart

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience
• 5+ years of software engineering experience designing, building, and operating large-scale production systems
• Strong proficiency in at least one backend programming language such as Python, Java, Scala, or Go, and experience with SQL
• Experience with distributed systems, data pipelines, and cloud infrastructure such as AWS, GCP, or Azure
• Track record of shipping production software with a focus on reliability, testing, observability, and maintainability

Desirable

• The Digital Twin Platform team at Instacart is responsible for understanding exactly what is on store shelves at all times. Inventory estimates power some of the most important product experiences at Instacart, from search and advertising to logistics and fulfillment
• We own the end-to-end data supply chain — from ingestion and integration of partner data sources to collecting inventory observations, to model development, serving, and integrations across our products
• We are looking for a highly motivated Senior Software Engineer to join our team. You will be instrumental in building our next generation platforms for understanding where products are in a store — think: platforms that provide the precision and depth of a smart warehouse but scaled to every local store
• In close collaboration with machine learning engineers, computer vision engineers, product teams, and data scientists, you will enable sophisticated models and data collection platforms to scale while driving new product innovation
• This is a chance to roll up your sleeves with a team that goes far together, solves creatively, and grows the pie by making the entire grocery ecosystem more efficient
• We move quickly, work through ambiguity, and focus on delivering real impact for our customers, shoppers, retailers, and the broader business
• Design, build, and operate the platforms and services that power a real-time understanding of products on store shelves across our network
• Develop data ingestion, processing, and serving systems that combine partner data, inventory observations, and machine learning outputs into a reliable, scalable digital twin
• Collaborate closely with machine learning engineers, computer vision engineers, product teams, and data scientists to move models and data pipelines from research to production
• Take on ambiguous, large-scale challenges across mapping, inventory, logistics, and computer vision, balancing fast delivery with long-term architectural quality
• Contribute to a culture of ownership and continuous improvement, where we serve our users generously, put ideas on the table with transparency, and go far together as a team