Role Overview
Genesis Group is building a lean, high-impact core technology team to develop internal platforms (workflow automation, operations tooling, analytics enablement) as well as scalable client-facing products.
We are looking for a Founding Engineering Lead who will act as a Solution Architect across multiple initiatives , define engineering standards, and mentor a growing team to deliver consistent, high-quality outcomes—leveraging AI where it adds meaningful value.

Mission
Build a strong engineering foundation and architecture that enables teams to ship reliable, scalable products quickly, safely, and consistently across projects, teams, and vendors.

Key Responsibilities
Architect and guide delivery for both internal platforms and client-facing products (scalability, reliability, integrations).
Define and implement an Engineering Operating System , including coding standards, code reviews, release strategy, documentation, and Definition of Done.
Establish quality and delivery discipline through testing strategies, automation-first approach, CI/CD practices, and non-functional requirements (performance, security, reliability).
Collaborate with DevOps/SRE teams to build strong platform foundations (environments, observability, incident readiness, secure configurations).
Lead build vs buy vs hybrid decisions , including trade-off analysis, cost, feasibility, and time-to-value.
Improve vendor delivery outcomes through clear acceptance criteria, checkpoints, architecture reviews, and handover standards.
Mentor and upskill engineering teams (web, analytics, partner teams) via coaching, design reviews, and best practice implementation.
Develop reference architectures and reusable templates (APIs, integrations,



data flows, AI-assisted features) to accelerate delivery.

What Success Looks Like
First 90 Days
Complete a current-state assessment across systems (applications, data, infrastructure, vendors) with a prioritized roadmap.
Establish visible engineering cadence and baseline standards across at least two active initiatives.
Deliver one end-to-end “lighthouse” project with transparent quality gates, acceptance criteria, and operational readiness.
3–6 Months
Implement shared reference architectures and templates (CI/CD, integrations, observability).
Improve delivery predictability (cycle time, defects, release stability).
Reduce reliance on unmanaged outsourcing through structured and governed delivery models .

Required Qualifications
Proven experience designing and delivering production-grade software systems (not just conceptual work).
Strong solution architecture expertise (APIs, integrations, data modeling, security, scalability).
Experience establishing or improving SDLC practices (standards, reviews, release discipline, documentation).
Ability to work cross-functionally and translate business requirements into executable engineering plans .
Hands-on experience with modern engineering practices (CI/CD, testing strategies, observability, cloud fundamentals).

Preferred Qualifications (Good to Have)
Experience with platform engineering and DevSecOps/SRE collaboration .
Familiarity with AI-enabled product development (e.g., RAG, agent-based systems, evaluation, safety).
Exposure to data/analytics platforms and BI ecosystems (data warehouses, transformations, semantic layers).
Experience in MarTech, AdTech, workflow automation , or high-scale integration environments.

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