Technical Architect

Overview

Common context

Domain: Telecom BSS transformation, focused on Product Catalog and Configure-Price-Quote (CPQ)

Tech stack: Java microservices, ReactJS, cloud-native deployment

Ways of working: GenAI-accelerated SDLC (AI-assisted requirements, design, coding, testing and documentation)

Experience: 12-16 years, with at least 5 years in an architect role on Telco BSS or large enterprise platforms

Role summary: Own the end-to-end technical architecture for the Product Catalog and CPQ platform, and set engineering standards, including GenAI-enabled development practices.

Responsibilities

Responsibilities

• Define the target architecture, including domain-driven microservices, API strategy, data model, event-driven integration and non-functional requirements (performance, scalability, security, resilience).
• Provide technical leadership to developers and designers, and conduct design and code reviews.
• Design integrations with CRM, Order Management, Billing, Inventory and external channels using TM Forum Open APIs.
• Define CI/CD, observability, test automation and cloud/container deployment approaches.
• Introduce and govern GenAI use across the SDLC: code generation, test generation, code review assistance, documentation, plus guardrails for security, IP and quality.
• Evaluate build-vs-buy decisions and technology choices, and manage technical risk and debt.
• Mentor senior developers and drive engineering best practices.

Requirements

Required skills

• Deep expertise in Java (Spring Boot or similar) microservices and REST/event-driven architectures (Kafka or similar).
• Strong understanding of Telco BSS, especially Product Catalog and CPQ.
• Working knowledge of ReactJS front-end architecture and micro-frontend patterns.
• Experience with Docker, Kubernetes, cloud platforms, CI/CD and API gateways.
• Proven experience applying GenAI tools to accelerate delivery.

Good to have: TM Forum certification, experience with high-volume catalog/pricing engines, and a background in rules/pricing engines.

Qualification: Bachelor's degree in Engineering, Computer Science or a related field.