Software Development Engineer

Overview

Software Development Engineer to design, build, and maintain ML and data workflows and backend services for production systems.

What you'll do

• Design and maintain ML and data workflows using BigQuery, GCS, and related cloud services.
• Develop backend services, pipeline components, and shared libraries for an agentic platform.
• Improve observability for production workflows including monitoring and alerting.
• Work with engineers and cross-functional partners to translate product requirements into technical solutions.
• Participate in team operations, incident response, and on-call/support rotations for shared production systems.
• Own and evolve ML and data workflows for identity resolution, including reliability and data quality.
• Support shared agentic platform capabilities and escalation paths for infrastructure dependencies.

What you'll need

• 3+ years professional software engineering experience in backend, data pipelines, or ML infrastructure in production.
• Strong proficiency in at least one backend/data programming language such as Python.
• Experience with SQL and data processing systems for warehouse-scale datasets.
• Experience with Airflow or similar orchestration frameworks.
• Hands-on experience with cloud-native data tooling, especially BigQuery or GCS.
• Ability to build reliable systems with monitoring, alerting, retries, timeouts, validation, and safe failure handling.
• Bachelor’s degree in Computer Science/Engineering or related field, or equivalent practical experience.