Job brief Senior Lead Software Engineer Minimum Years of Experience Required: 6+ Years Salary range: $170,000 - $220,000 Residency or Work Permit: Please ensure you are a Permanent Resident or have the legal right to work in the U.S., as we are not sponsoring employment visas for this role. About the Role: As a Senior Lead Software Engineer, you will take on a pivotal role in leading multiple or complex software development projects, often with significant AI components or dependencies. You will provide high-level technical direction, mentor other leads and senior engineers, and ensure the successful delivery of robust, scalable, and high-performance solutions that leverage or support AI technologies. This position demands strong technical acumen, extensive leadership experience, and the ability to drive technical initiatives across teams. Key Responsibilities: • Provide technical leadership and oversight for complex software projects, potentially spanning multiple teams, with a focus on architectural design and technical strategy, especially for AI-related initiatives. • Architect and design scalable, resilient, and high-performance systems and services that integrate with or provide infrastructure for AI models and workflows. • Mentor and develop technical leads and senior engineers within the team(s), raising the overall technical bar. • Drive technical innovation and ensure adherence to engineering best practices and architectural standards across projects. • Collaborate with engineering leadership, product management, and AI/ML teams to define technical roadmaps and priorities. • Troubleshoot and provide guidance on resolving complex technical challenges and production issues. • Contribute to the improvement of engineering processes and methodologies. • Lead technical discussions and present solutions to technical and non-technical stakeholders. Qualifications: • Minimum 6+ years of extensive software engineering experience, with significant experience (typically 3+ years) in technical leadership roles overseeing projects or teams. • Deep expertise in software architecture, system design, and multiple programming paradigms. • Proven ability to lead and inspire engineering teams to deliver exceptional results on complex projects. • Experience designing and building large-scale, distributed systems on cloud platforms (AWS, Azure, GCP). • Strong understanding of the technical considerations for integrating and deploying machine learning models into production systems and building scalable AI infrastructure. • Excellent problem-solving, strategic thinking, and communication skills, with the ability to effectively communicate technical strategy to various stakeholders. Benefits: • Stock Options or RSU program • Unlimited or Generous Paid Time Off and Holidays • Flexible Work Arrangements (Hybrid/Remote options) • Comprehensive Health, Dental, and Vision Insurance • 401(k) with company match • Paid Parental Leave • Professional Development Stipend •