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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 delivering high-quality, production-grade solutions. Proven ability to mentor teams, influence executive decisions, and facilitate collaboration across technical and non-technical stakeholders.
Highest-signal resume keywords
Platform EngineeringProduction-Grade Software DeliveryAI Development ToolsScalable System DesignMentorship and Team Support
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
Client Relationship ManagementLeadershipCollaborationCoachingFacilitation
Tools & Technologies
DatabricksDevSecOpsDevOpsMLOpsInfrastructure as CodeLangChainLlamaIndexCrewAIAutoGenN8n
Industry Keywords
AI/ML FeaturesRecommendation EnginesNLPComputer VisionPredictive AnalyticsRAG PipelinesAgentic SystemsModernizationReplatformingObservability
Tech Stack
Tools & technologiesJavaJavaScriptPythonReactRubyScalaSQLTypeScriptGo.NET
About the role
Key responsibilities & impact- Build trust with clients by demonstrating technical expertise and understanding their domain and objectives
- Drive platform engineering work at the client level, connecting long-term technical vision to shipped outcomes
- Lead platform strategy and delivery across diverse platform types
- Balance technology choices pragmatically 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 model deployment, integration, and performance monitoring
- Surface new 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 and maintain relationships with clients and industry leaders
- Coach client engineering teams and improve practices
- 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 internally, lead or design workshops, represent 8th Light in the tech community, and support hiring
- 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- Long-term repeated success on a variety of projects, typically over the course of 10+ years
- 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 Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL
- Experience with AI development tools and 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- Robust L&D program with 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 the global team
- Flexible PTO
- 12 weeks of new parent leave for eligible employees
- Access to coworking spaces for team members outside hub cities