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Senior Backend Engineer (Core Data Systems) for a leading-edge health and nutrition tracking platform. Responsible for nutrition ontology, food composition modeling, and ML-driven insights.
Job Responsibility:
Work with data scientists to bring ML models into production for smarter search, recommendations, and predictive estimation
Design and maintain reliable pipelines that transform large-scale datasets into clean, usable information for app and analytics layers
Create and optimize backend services and APIs (Java, Python, SQL) to deliver insights to a global user base
Expand the internal data platform on [Cloud Provider] to improve visibility, observability, and data quality across the organization
Experiment with LLM-powered tools and novel data enrichment strategies through hands-on prototyping
Requirements:
3+ years of professional software engineering experience
Strong proficiency in Java and/or Python with a solid grasp of software design principles
Proficiency with SQL and experience optimizing relational/analytical databases (e.g., MySQL, Postgres, Redshift)
Familiarity with data modeling, schema evolution, and rigorous testing practices
Ability to explain technical details clearly and lead projects independently with a high degree of autonomy
Nice to have:
Experience with Cloud Data Services (S3, Glue, Athena, SageMaker, etc.)
Background in building or maintaining data warehouses/lakes and non-relational databases
Experience in data quality automation, orchestration, or observability
Exposure to ML workflows (training, evaluation, monitoring) or LLM integration
A personal interest in health, nutrition, or food science