8th Light is looking for a Lead Engineer to solve meaningful challenges and drive sustainable growth for their clients by optimizing digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise.
Requirements
- Led the development and delivery of production-grade software using a variety of languages and frameworks, including but not limited to: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
- Evaluated and strategically applied AI-assistive development tools to accelerate delivery and improve quality
- A track record of understanding, assessing, and embracing new tooling and trends within the software industry
- 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
- Successfully led modernization efforts to align legacy systems with short and long-term business needs
- Remedied architecture-level concerns such as scalability, security, reliability, and performance
Responsibilities
- Guiding technical direction, solving complex problems, and demonstrating best practices while remaining deeply engaged within the codebase
- Working pragmatically to balance technology choices while delivering high-quality work within deadlines
- Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes
- Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
- Driving innovation by proactively surfacing new technical approaches and product solutions
- Designing and managing high-level technical roadmaps for large engagements
- Coaching client engineering teams, transferring knowledge and leveling up practices
Other
- Demonstrated long-term success on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, technical environments, and client industries
- Facilitated alignment and collaboration across technical and non-technical stakeholders to move initiatives forward in the face of ambiguity and complexity while balancing technical considerations with product and user needs
- Provided mentorship and team support at scale, while sharing knowledge and improving team practices
- Actively sought out and effectively given feedback
- Collaboratively led stakeholders to balance technical considerations with product and user needs
