Lead Software Engineer

Description

• Lead high-stakes software consulting engagements from discovery to production • Make immediate contributions and rapidly build trust with clients • Balance technology choices while delivering high-quality work within deadlines • Lead architecture and software design discussions • Collaborate on systems spanning the full ML lifecycle, including data ingestion, preprocessing, model deployment, integration, and performance monitoring • Generate technical and non-technical solutions with team members and clients • Lead or initiate formal feedback conversations through retrospectives • Document outcomes and drive action items forward • Ensure teams maintain a healthy, prioritized, estimated backlog • Manage high-level project roadmaps for large engagements • Maintain relationships with client technical leaders • Conduct client status and risk-management syncs • Identify, mitigate, and resolve blockers to team progress • Mentor colleagues, lead or design workshops, represent 8th Light in the tech community, and support hiring processes • Contribute to team health and 8th Light’s culture

Requirements

• 7+ years of repeated success across a variety of projects • Experience leading high-stakes consulting engagements from discovery to production • Ability to build high-quality, maintainable software collaboratively and incrementally • Production-quality coding in languages and frameworks including Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Rust, Scala, R, and SQL • Experience leveraging AI-assistive development tools for scaffolding, refactoring, debugging, test generation, and documentation • Experience building or integrating AI/ML-powered features into products or systems • Experience with context-appropriate automated testing • Experience debugging and refactoring pre-existing code • Experience collaborating with Git, MacOS/Linux, and CI/CD • Experience addressing scalability, security, reliability, and performance concerns at the architecture level • Ability to make recommendations and set direction amid ambiguity • Experience mentoring and sharing knowledge with colleagues • Ability to communicate empathically with stakeholders and colleagues • Strongly preferred: MLOps, LangChain, Data Engineering, Databricks, DevSecOps, DevOps, and Infrastructure as Code

Benefits

• Robust L&D program featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform • Annual financial stipend and time allotment for learning & development • Coworking support for our global team • Flexible PTO • 12 weeks of new parent leave available for eligible employees • Coworking spaces for team members outside hub cities

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