Principal Software Engineer leading high-stakes consulting engagements at 8th Light, architecting scalable solutions and fostering client trust in technology.
Responsibilities
Rapidly building trust with clients, demonstrating technical expertise and understanding of their domain and objectives.
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.
Leading or initiating formal feedback conversations with teams and clients via retrospectives.
Clearly articulating and documenting outcomes and driving forward action items.
Requirements
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.
Demonstrated long-term success on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, technical environments, and client industries.
Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served.
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.
Provided mentorship and team support at scale, while sharing knowledge and improving team practices.
Benefits
A robust L&D programme 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
12 weeks of new parent leave available for eligible employees
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