FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in platform engineering and architecture, with a strong focus on building and shipping production-grade systems. Proven ability to lead high-stakes consulting engagements, mentor teams, and drive innovation in AI/ML solutions.
Highest-signal resume keywords
Platform EngineeringAI/ML Feature IntegrationProduction-Grade Software DeliveryClient Relationship ManagementTechnical Leadership
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 Trust BuildingMentorshipCollaborationFacilitationFeedback Management
Tools & Technologies
DatabricksDevSecOpsDevOpsMLOpsInfrastructure as CodeLangChainLlamaIndexCrewAIAutoGenN8n
Industry Keywords
ScalabilityObservabilityArchitecture-Level ProblemsModernizationReplatforming
Tech Stack
Tools & technologiesJavaJavaScriptPythonReactRubyScalaSQLTypeScriptGo.NET
About the role
Key responsibilities & impact- Work with a variety of clients, typically one to two in a year
- Rapidly build trust with clients and understand their domains and objectives
- Drive platform engineering work and lead platform strategy and delivery
- Balance technology choices while delivering high-quality work within deadlines
- Advise clients on architecture, scalability, and platform evolution
- Collaborate on systems covering the full ML lifecycle from data ingestion and preprocessing through model 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 client and industry relationships
- Coach client engineering teams and improve engineering 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, 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- 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 languages and frameworks including Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL
- Experience building or integrating AI/ML features, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents
- Experience with 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 experience in platform engineering, data engineering, 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 working model with London coworking support
