Senior Software Engineer - Core AI

Responsibilities

• Design and build scalable backend services and data pipelines supporting the end-to-end ML lifecycle in AWS SageMaker Unified Studio.
• Own platform features from ideation through delivery, deployment, operations, and business-impact measurement.
• Build data infrastructure using a governed medallion architecture for ingestion, transformation, anonymization, aggregation, quality checks, and lineage.
• Operate production platform services with 99.9% availability SLOs and participate in on-call and operational review processes.
• Create self-service tooling and automation to reduce manual work and accelerate onboarding of AI projects.
• Participate in architecture and design discussions, code reviews, technical direction, and mentoring.

Requirements

• 10+ years of relevant software engineering experience.
• Bachelor’s degree in Computer Science or a related field, or suitable industry experience.
• Strong SQL proficiency and familiarity with Python, Java, TypeScript, or Go.
• Deep expertise in data engineering, advanced data modeling, schema design, large-scale data processing, and strict data quality standards.
• Experience leading complex data initiatives end-to-end, from scoping and technical design through deployment, monitoring, and business delivery.
• Familiarity with infrastructure-as-code and AWS cloud services; experience with SageMaker, DataZone, Lake Formation, Glue, or similar platforms is preferred.
• Experience building and operating data pipelines or distributed data systems, including event-driven architectures and data lakes, is preferred.
• Experience with unit testing, code reviews, design documents, and deployment and operations for large-scale distributed systems.

Benefits

• Annual Experience Bonus of $1,800 and Global Wellness Benefit of $1,200.
• Medical, dental, vision, life and disability insurance, 401(k) with match, paid time off, wellness reimbursement, and mental health benefits.
• Quarterly team offsite events, office snacks, drinks, and free lunches.
• Hybrid work model requiring office attendance three days per week: Mondays, Thursdays, and one additional leader-selected day.
• Full-time position based in Provo or Seattle.