Lead Software Engineer (Remote)

8th Light is a technology solutions consultancy that partners with clients on software challenges. The Lead Software Engineer leads client engagements and teams, makes architecture and software design decisions, and helps deliver software and systems across the ML lifecycle.

Responsibilities:

• Making immediate contributions to projects, rapidly building trust with clients
• Working pragmatically to balance technology choices while delivering high-quality work within deadlines
• Leading architecture and software design discussions
• Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
• Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients
• Leading or initiating formal feedback conversations with teams and clients via retrospectives
• Clearly articulating and documenting outcomes and driving forward action items
• Contributing to the health of your team and 8th Light’s culture by modeling our Values
• Ensuring your team has a healthy, prioritized, estimated backlog
• Managing high-level project roadmaps as the team lead for large engagements
• Maintaining relationships with client technical leaders
• Regular syncs with the client to provide status updates, and for identifying and evaluating risks and presenting potential solutions
• Identifying, mitigating, and resolving blockers to team progress
• Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes

Requirements:

• You've shown long-term repeated success on a variety of projects, typically over the course of 7+ years
• You can be the go-to leader for any software development engagement
• You have a broad and deep range of expertise that allows you to make an immediate impact on projects
• Successfully led high-stakes consulting engagements from discovery to production
• Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you've served
• Written production-quality code using a variety of languages and frameworks, including but not limited to: Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL
• Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation
• Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics)
• Used context-appropriate automated testing to inform software design choices and catch bugs
• Debugged and refactored pre-existing code to incrementally improve it
• Collaborated with teams using Git, MacOS/Linux, and CI/CD
• Remedied architecture-level concerns such as scalability, security, reliability, and performance
• Brought together people from different functions and perspectives in forums that encourage idea sharing, collaboration, and problem solving
• Made thoughtful recommendations and set direction in the face of ambiguity
• Mentored and shared knowledge with colleagues
• Actively sought out and effectively given feedback
• Communicated empathically with stakeholders and colleagues
• Collaboratively led stakeholders to balance technical considerations with product and user needs
• MLOps: including tools like LangChain for application development and managing the ML lifecycle
• Data Engineering: including platforms like Databricks for data processing and analytics
• DevSecOps & DevOps
• Infrastructure as Code