Job DescriptionWe are seeking a skilled software engineer to join our Global Feature Store team. This key component of our Machine Learning stack allows data scientists easy and consistent access to model features at training and serving time, reducing duplication of feature engineering efforts across teams.The Feature Store powers backend engineering use cases requiring low latency access to data in our Data Lake, vastly reducing development time of these projects and enabling feature discoverability and reusage across the organization.Your solutions will be used across different use cases, ranging from logistics, fraud detection, ranking, etc., in all markets we operate in. Required Skills and Qualifications- A degree in Computer Science or relevant experience.- Experience diagnosing and resolving performance problems in complex software systems.- Strong interest and experience in data-intensive application development.- Familiarity with the Machine Learning lifecycle.- Strong Java / Kotlin / Python or other high-level language skills.- Extensive knowledge of object-oriented programming and software architecture.- Knowledge of relational databases and other approaches to data management.- Knowledge of concurrency and Event-Driven Development.- Analytical and problem-solving skills. BenefitsWe offer an enticing equity plan, top-notch private health insurance, monthly credits for Glovo services, discounts on transportation, food, and kindergarten expenses, discounted gym memberships, flexible work arrangements, enhanced parental leave, online therapy and wellbeing benefits. OthersWe value diversity and inclusion, fostering an exciting product and amazing customer and employee experience. We encourage applicants to share their pronouns and include any accessibility support needs in their application.
Software Architect • Barcelona, Kingdom Of Spain, España