Lead Software Engineer

Quick Facts

• Role: Lead Software Engineer

• Focus: Platform services for the end-to-end machine learning lifecycle (model operations, data development, governance)

Description

Build and enhance platform services that help teams move from ideas to production with confidence. You’ll design scalable, secure, cloud-native backend capabilities for model/feature registries, promotion policies, governance workflows, and data preparation/annotation with lineage and audit trails. You’ll also implement controlled LLM-powered features with strong evaluation, while improving reliability and developer experience.

Responsibilities

• Build and enhance platform services for model registries, feature registries, promotion policies, and governance workflows

• Design and deliver capabilities for data preparation, annotation workflows, lineage, and audit trails

• Develop cloud-native services and RESTful APIs that scale across development and production environments

• Implement LLM-powered features (prompt design, agent workflows, tool integration, retrieval) with strong controls and evaluation

• Produce and maintain architecture and design artifacts; ensure performance, resiliency, and security

• Use approved AI-assisted development tools responsibly, validating outputs via code review, testing, and secure coding

• Collaborate with product and engineering stakeholders to prioritize roadmap items and improve usability

• Analyze operational metrics and user feedback to improve reliability and platform adoption

• Identify and remediate issues in systems and data; improve code quality, observability, and maintainability

Requirements

• 3+ years of applied software engineering experience plus formal training or certification in software engineering concepts

• Experience with backend/platform services using microservices, reactive, or event-driven architectures

• Experience developing and deploying LLM-powered solutions (prompt design, agent workflows, tool integration, retrieval)

• Proficiency in at least two of: Python, Java, JavaScript, React, Node.js

• Experience building and consuming RESTful APIs with performance tuning at scale

• Experience with cloud platforms and containerization/orchestration tools (Docker, Kubernetes)

• Experience with relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis, Elasticsearch, Cassandra)

• Strong engineering practices: refactoring, design patterns, automated testing, CI/CD, application security

• Hands-on use of approved AI-assisted development tools, validating outputs for correctness, performance, and security

Benefits

• Competitive total rewards package (base salary based on role, experience, skills, and location)

• Potential commission-based pay and/or discretionary incentive compensation, including cash and/or forfeitable equity (for eligible roles)

• Comprehensive health care coverage and wellness programs

• Retirement savings plan

• Backup childcare, tuition reimbursement, and mental health support

• Financial coaching and additional benefits (details provided during hiring)