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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in platform engineering, architecture, and scalable system design, with a strong focus on AI/ML integration and production-grade software delivery. Proven ability to lead diverse teams, mentor engineering talent, and drive high-stakes consulting engagements across various industries.
Highest-signal resume keywords
Platform EngineeringAI/ML Feature DevelopmentProduction-Grade Software DeliveryScalable System DesignConsulting Acumen
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaC#/.NETPythonTypeScriptJavaScriptReactGoRubyScalaSQL
Soft Skills
LeadershipMentoringCollaborationCommunicationClient Relationship Management
Tools & Technologies
DatabricksDevSecOpsDevOpsMLOpsInfrastructure as CodeLangChainLlamaIndexCrewAIAutoGenN8n
Industry Keywords
AI Development ToolsArchitecture-Level ProblemsObservabilityScalabilitySecurityReliabilityMaintainabilityPerformanceFeedback ConversationsTechnical Roadmaps
Tech Stack
Tools & technologiesJavaJavaScriptPythonReactRubyScalaSQLTypeScriptGo.NET
About the role
Key responsibilities & impact- Work with a variety of clients, typically one to two in a year
- Build trust with clients and demonstrate technical expertise and domain understanding
- Drive platform engineering work and connect long-term technical vision to delivered outcomes
- Lead platform strategy and delivery across diverse platform types
- Balance technology choices while delivering high-quality work within deadlines
- Advise clients on architecture, scalability, and platform evolution
- Collaborate on systems spanning the full ML lifecycle, from data ingestion and preprocessing through deployment, integration, and performance monitoring
- Drive innovation by surfacing technical approaches and product solutions
- Lead or initiate formal feedback conversations through retrospectives
- Document outcomes and drive action items
- Design and manage high-level technical roadmaps for large engagements
- Build networks and maintain relationships with clients and industry leaders
- Coach client engineering teams and transfer knowledge
- Influence client CTOs and executive decisions
- Partner with account teams on planning, opportunity identification, stakeholder relationships, and pre-sales scope shaping
- Facilitate retrospectives, strategy sessions, and technical deep-dives
- Identify, mitigate, and resolve blockers
- Mentor, lead or design workshops, represent 8th Light in the tech community, and support hiring processes
- Demonstrate leadership in scalable system design, modular architecture, and platform- or product-oriented development
- Apply testing strategies, observability, fault tolerance, secure engineering practices, and architectural patterns
Requirements
What you’ll need- Typically 10+ years of long-term, repeated success across a variety of projects
- Deep consulting acumen, technical expertise, and product thinking
- Experience building and shipping production-grade platforms, reusable foundations, tools, infrastructure, and workflows
- Experience taking AI and agentic systems from prototype to production
- Strong understanding of infrastructure, authentication, and observability
- Experience delivering high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, and client industries
- Experience leading production-grade software delivery using languages and frameworks including Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL
- Experience with AI development tools and translating experimentation into faster, higher-quality delivery
- Track record of assessing and adopting new software industry tooling and trends
- Experience building or integrating AI/ML features, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents
- Experience leading modernization and replatforming efforts
- Experience solving architecture-level problems involving scalability, security, reliability, performance, maintainability, and observability
- Experience facilitating alignment across technical and non-technical stakeholders
- Experience providing mentorship and team support at scale
- Strongly preferred: platform engineering, data engineering including Databricks, production agentic systems, RAG pipelines, vector search, LangChain, LlamaIndex, CrewAI, AutoGen, n8n, DevSecOps, DevOps, MLOps, and Infrastructure as Code
Benefits
Comp & perks- Wellness package
- 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
- Hybrid work with a minimum of one day per week in the Waterloo office
- In most cases, consulting engagements do not require travel