Senior Software Engineer - Core AI
Core
Build and operate the Socrates Experimentation Platform (SEP), a unified infrastructure enabling applied scientists and ML engineers to rapidly develop, deploy, and manage AI features at scale.
Role type
Senior Software Engineer (Platform/Infrastructure)
Builds
End-to-end ML lifecycle workflows, data ingestion/anonymization pipelines, and self-service tooling within AWS SageMaker Unified Studio.
Domain
Enterprise Experience Management / AI Infrastructure / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, Java, TypeScript, Go, AWS CDK, distributed systems, ETL/ELT, event-driven architectures, data modeling, schema design, unit testing, code reviews, system design
Preferred skills
AWS SageMaker, DataZone, Lake Formation, Glue, S3, DynamoDB, SQS, Kafka, medallion architecture, policy-as-code
Technologies
AWS SageMaker Unified Studio, AWS DataZone, AWS Lake Formation, AWS Glue, Amazon S3, Amazon DynamoDB, Amazon SQS, Apache Kafka, AWS CDK
Responsibilities
Design and build scalable backend services and data pipelines; own feature lifecycle from ideation to delivery; operate production services with 99.9% availability SLOs; drive automation to reduce manual toil; mentor junior engineers and establish best practices.
Seniority
Senior, hands-on IC with mentorship responsibilities
