8th Light partners with organizations to solve meaningful challenges and drive sustainable growth by optimizing clients' 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
- 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
- Remedied architecture-level concerns such as scalability, security, reliability, and performance
- DevSecOps & DevOps
- MLOps
Responsibilities
- Guiding technical direction, solving complex problems, and demonstrating best practices while remaining deeply engaged within the codebase
- 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
- Demonstrating leadership in scalable system design, modular architecture, and platform- or product-oriented development.
Other
- You’ve shown long-term repeated success on a variety of projects, typically over the course of 10+ years.
- You are a trusted expert and leader, often called upon to guide ambiguous initiatives and architect scalable solutions.
- You bring a blend of deep consulting acumen, technical expertise, and product thinking that drives measurable and impactful outcomes.
- 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
