Responsibilities
- Lead high-stakes software consulting engagements from discovery through production.
- Make immediate contributions to client projects and build trust with stakeholders.
- Lead architecture and software design discussions and balance technology choices with delivery needs.
- Collaborate on systems covering the full ML lifecycle, including data ingestion, preprocessing, model deployment, integration, and performance monitoring.
- Lead teams, maintain healthy prioritized backlogs, and manage high-level project roadmaps for large engagements.
- Identify, mitigate, and resolve blockers while evaluating risks and presenting potential solutions to clients.
- Maintain relationships with client technical leaders and provide regular project status updates.
- Lead retrospectives and feedback conversations, document outcomes, and drive action items.
- Mentor colleagues, share knowledge, lead or design workshops, contribute to hiring, and represent 8th Light in the technology community.
Requirements
- Typically 7+ years of repeated success across a variety of software projects.
- Experience leading high-stakes consulting engagements from discovery to production.
- Production-quality coding experience with a variety of languages and frameworks, including Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL.
- Experience building or integrating AI/ML-powered features such as recommendation engines, NLP models, computer vision, or predictive analytics.
- Experience with automated testing, debugging, refactoring, Git, macOS/Linux, and CI/CD.
- Experience addressing architecture-level concerns including scalability, security, reliability, and performance.
- Ability to lead architecture, make recommendations under ambiguity, mentor colleagues, communicate with stakeholders, and balance technical decisions with product and user needs.
- Strongly preferred experience in platform engineering, data engineering with Databricks, production agentic systems, RAG pipelines, vector search, LangChain, LlamaIndex, CrewAI, AutoGen, n8n, DevSecOps, DevOps, MLOps, and infrastructure as code.
Benefits
- Hybrid work in the Waterloo, London office with a minimum of one day per week in person.
- Generally no travel is required for consulting engagements.
- Unlimited access to books, courses, and expert-led training through the O'Reilly learning platform.
- Annual financial stipend and dedicated time for learning and development.
- Coworking support for the global team.
- Twelve weeks of new parent leave for eligible employees.
Vacancy posted 8 days ago
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