CIMET - Solution Architect - SaaS Platform

Description :

Purpose :

We are seeking an AI-native Solution Architect with deep expertise in Node.js ecosystems, Microservices Architecture, and No-Code/Low-Code platforms to design scalable, resilient, and configurable SaaS solutions.

This role will be instrumental in building a generic, multi-tenant SaaS platform that enables rapid product development while ensuring performance, security, and high availability across a polyglot data infrastructure.

Key Responsibilities :

1. Architectural Governance & Leadership :

- Define and drive the technical vision and architectural roadmap

- Establish engineering standards, design principles, and governance practices

- Lead architecture reviews, minimizing technical debt and ensuring scalability

- Maintain architecture documentation, system diagrams, and design standards

- Optimize CI/CD pipelines, DevOps practices, and PR automation workflows

2. Platform Architecture & Design :

- Architect a multi-tenant SaaS platform using Node.js-based microservices

- Design scalable microservices and event-driven systems

- Define best practices for REST & GraphQL APIs

- Architect data strategies across :

1. PostgreSQL

2. MySQL

3. MongoDB

4. Elasticsearch

5. Enable cloud-native and serverless architectures

3. AI-Native Architecture & Integration :

- Design systems integrating:

- LLM APIs

- Embeddings & vector databases

- AI workflow orchestration

- Define patterns such as:

- RAG (Retrieval-Augmented Generation)

- AI copilots & automation workflows

- Prompt orchestration layers

- AI gateway services

- Establish AI governance, guardrails, and prompt security frameworks

4. Engineering Excellence & Platform Enablement :

- Enable No-Code/Low-Code integrations for workflow automation

- Drive AI-assisted engineering practices, including:

- Code generation

- Automated documentation

- AI-driven code reviews

- Define reusable patterns for microservices, deployments, and automation

5. Native AI Tooling Adoption :

- Promote usage of:

- Claude Code

- Cursor

- GitHub Copilot

- Build workflows leveraging LLMs for engineering productivity

- Evaluate and adopt emerging AI tools across the organization

6. Cross-functional Collaboration

- Partner with Product, Engineering, DevOps, and Data teams

- Translate architecture into business-aligned outcomes

- Mentor engineers and contribute to capability building

Success Metrics :

Commercial Impact :

- Faster time-to-market via No-Code/Low-Code enablement

- Reduced infrastructure costs through optimized architecture

Execution & Delivery :

- Successful rollout of multi-tenant SaaS platform

- Adoption of AI-native workflows across engineering teams

Quality & Standards :

- High system uptime, scalability, and security compliance

- Strong adherence to architecture and AI governance standards

Capability Building :

- Improved team productivity via AI-assisted development

- Establishment of reusable microservices and deployment patterns

Experience & Skills :

- 8+ years in software engineering, with 3+ years in Solution Architecture

- Strong expertise in :

- Node.js backend systems

- Microservices & event-driven architecture

- REST & GraphQL APIs

- Experience with databases:

- PostgreSQL, MySQL, MongoDB, Elasticsearch

Hands-on experience with :

- Cloud platforms (AWS / GCP / Azure)

- CI/CD & DevOps pipelines

- No-Code/Low-Code platforms

- Experience with:

- LLM APIs

- RAG architectures

- AI integrations in production systems

Native AI Capability (Mandatory) :

- Daily usage of AI coding assistants (Claude, Cursor, Copilot)

- Strong prompt engineering skills for :

1. Code generation

2. Refactoring

3. Test creation

- Ability to work in agentic / multi-step AI workflows

- Understanding of :

1. AI limitations & hallucination risks

2. Experience integrating LLM APIs into real systems (preferred)

Professional Qualifications :

- Bachelors / Masters in Computer Science or related field

- Architecture certifications (preferred)

- Cloud certifications (e.g., AWS Solutions Architect) are a plus