
Lead Software Engineer
Posted Oct 23

Posted Oct 23
This is a fully remote position, open to applicants in United States.
β’ Oversee software development projects for a diverse range of clients, typically one to two annually.
β’ Make immediate impacts and quickly establish trust with clients.
β’ Balance technology options while ensuring high-quality deliverables meet deadlines.
β’ Facilitate discussions on architecture and software design.
β’ Collaborate throughout the entire ML lifecycle, covering data ingestion, preprocessing, model deployment, integration, and performance monitoring.
β’ Create both technical and non-technical solutions alongside team members and clients.
β’ Lead feedback discussions and retrospectives.
β’ Record outcomes and drive actionable items.
β’ Ensure teams maintain well-organized, prioritized, and estimated backlogs.
β’ Oversee high-level project roadmaps for significant engagements.
β’ Maintain connections with client technical leaders.
β’ Conduct status updates and risk-review syncs with clients, presenting potential solutions.
β’ Identify, mitigate, and resolve any blockers that arise.
β’ Mentor peers, design and lead workshops, represent 8th Light in the tech community, and assist with recruitment processes.
β’ Contribute to the culture at 8th Light and exemplify its values.
β’ Typically possess 7+ years of consistent success across various projects.
β’ Have successfully led high-stakes consulting projects from discovery to production.
β’ Demonstrate production-quality coding skills in Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL.
β’ Experience utilizing AI-assisted development tools for scaffolding, refactoring, debugging, test generation, and documentation.
β’ Familiarity with building or integrating AI/ML-powered functionalities.
β’ Experience with automated testing methodologies.
β’ Skilled in debugging and refactoring existing code.
β’ Proficient with Git, MacOS/Linux, and CI/CD processes.
β’ Address scalability, security, reliability, and performance challenges effectively.
β’ Experience with MLOps, Data Engineering, DevSecOps/DevOps, Infrastructure as Code, LangChain, or Databricks is highly desirable.
β’ Ability to mentor colleagues, communicate with empathy, make informed recommendations in uncertain situations, and balance technical considerations with product and user needs.
β’ Comprehensive L&D program offering unlimited access to thousands of books, courses, and expert-led training via the O'Reilly learning platform.
β’ Annual financial support and dedicated time for learning and development.
β’ Coworking support available for the global team.
β’ Flexible paid time off (PTO).
β’ 12 weeks of parental leave available for eligible employees.
β’ Access to coworking spaces for team members outside of hub cities.
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