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Flexton Inc.

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Full Stack Solutions Architect

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Summary

Solutions architect in Flexton's services practice: designs and hands-on builds scalable full-stack retail/e-commerce platforms (React/Next.js, TypeScript, Node/Java/Python/Go on AWS/Azure/GCP) and integrates GenAI features like RAG, search, and personalization, while also driving pre-sales, mentoring engineers, and packaging reusable service offerings.

Full Stack Solutions Architect

Architect — Solutions Practice

AI-Led Development | Retail & E-Commerce |

Job Responsibilities

Solution Architecture & Hands-On Delivery

  • Design end-to-end scalable, resilient full-stack architectures for retail and e-commerce platforms across web, mobile, and headless/commerce APIs.
  • Personally prototype and contribute production-grade code across front end (React/Next.js, TypeScript) and back end (Node.js, Java, Python, or Go).
  • Architect cloud-native solutions (AWS/Azure/GCP) with microservices, APIs, containers, IaC, and solid CI/CD and DevSecOps practices.
  • Guard delivery quality — reviewing designs and code, unblocking teams, and owning performance, scalability, and security.

AI-Led Development & GenAI

  • Champion an AI-led way of working — AI-assisted coding, testing, and review — so small teams deliver faster at higher quality.
  • Architect and integrate customer-facing AI features into client solutions: conversational commerce, semantic/vector search, personalization, and GenAI content.
  • Design LLM/RAG solutions responsibly — retrieval pipelines, embeddings, prompt orchestration, guardrails, evaluation, and cost control.

Talent Enablement (Staffing Advantage)

  • Partner with our recruiting team to define the technical profiles, screen candidates, and validate skills for delivery teams.
  • Mentor and upskill engineers on the bench through mentoring, reusable training, and pairing — building capability, not dependency.
  • Advise on hiring and staffing decisions so we scale delivery capacity efficiently as demand grows.

Practice & Offering Development

  • Define and package service offerings and reusable solution accelerators for retail/e-commerce and AI-led development that we can sell repeatably.
  • Build delivery playbooks, reference architectures, estimation models, and reusable code/IP that reduce cost and de-risk each engagement.
  • Help select technology partnerships and platform choices (commerce, cloud, AI) that shape our go-to-market.

Pre-Sales & Solutioning

  • Lead technical client discussions, discovery workshops, and proposals — translating business needs into clear, credible solution designs and estimates.
  • Produce solution architectures, statements of work, and proof-of-concept demos that win client confidence and close deals.
  • Act as the trusted technical advisor to clients and to our internal sales and account teams.

Required Qualifications

  • 8+ years in software engineering, including 3+ years in a solutions/software architecture capacity.
  • Proven full-stack expertise: modern front-end (React/Next.js, TypeScript) and back-end services (Node.js, Java, Python, or Go).
  • Strong, demonstrable experience delivering retail or e-commerce platforms and applications at scale.
  • Hands-on experience integrating AI/GenAI into products — LLMs, RAG, embeddings/vector search, or ML-driven personalization.
  • Deep cloud experience (AWS, Azure, or GCP): microservices, APIs, containers/Kubernetes, and infrastructure as code.
  • Client-facing and pre-sales experience — scoping solutions, writing proposals/SOWs, and presenting to stakeholders.
  • A self-starter comfortable operating with ambiguity and building something new with limited resources.
  • Excellent communication and the ability to lead technical decisions across distributed, remote teams.

Preferred / Nice-to-Have

  • Prior experience in a services, consulting, or systems-integration environment (ideally helping start or scale a practice).
  • Experience with headless/composable commerce (commerce tools, Shopify, Salesforce Commerce Cloud, Adobe Commerce/Magento, BigCommerce).
  • Familiarity with search/personalization stacks (Algolia, Elasticsearch/OpenSearch, vector databases) and OMS/ERP/PIM/payment integrations.
  • Exposure to MLOps/LLMOps, model evaluation, and responsible-AI governance.
  • Experience working with or within a staffing/talent organization.

What You Bring

  • An owner's mindset — you are excited to build a practice, not just execute a role.
  • A builder's instinct — you architect by prototyping, and you make reusable assets others can run with.
  • Commercial awareness — you understand cost, margin, and how technical choices affect what we can sell and deliver.
  • Pragmatism and high leverage — you get more done with less and multiply the team around you.

What We Offer

A rare chance to shape a new services business from day one and define its technical DNA; a fully remote, flexible environment; direct influence with leadership; and competitive compensation and benefits with clear upside as the practice grows.

Skills

See also

Full-Stack jobs by country — openings, pay and top skills →

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