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
Numbers & Facts
Location
Los Angeles, California
Salary
$170,000–$220,000 Per Year
Skills
Amazon Web Services (AWS)unmatched
Architectural Servicesunmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Distributed Computingunmatched
Engineeringunmatched
GCP (Good Clinical Practices)unmatched
Identify Issuesunmatched
Large-Scale Systemsunmatched
Leadershipunmatched
Machine Learningunmatched
Maintain Complianceunmatched
Mentoringunmatched
Microsoft Windows Azureunmatched
People Managementunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Product Managementunmatched
Production Systemsunmatched
Project Trackingunmatched
Scalable System Developmentunmatched
Software Architecture Designunmatched
Software Developmentunmatched
Software Engineeringunmatched
Technical Leadershipunmatched
Technical Presentationunmatched
Technical Strategyunmatched
Technical Supportunmatched
Technical/Engineering Designunmatched
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