Senior Solutions Architect

A global technology organisation is seeking an experienced Senior Solutions Architect to help shape and develop a suite of data-driven software platforms that support commercial operations, customer engagement and business growth.

This is a hands-on technical leadership role combining software architecture, full-stack development, cloud infrastructure and emerging AI technologies.

Youll help define the architecture of web applications, automated document generation systems and cloud-based platforms, making key technical decisions from initial design through to production deployment.

Working within a small, collaborative team, youll share technical ownership of the platform, mentor engineers and help evolve successful early-stage solutions into scalable, enterprise-grade applications.

The role offers the opportunity to influence technology strategy while remaining closely involved in coding, prototyping and delivering practical solutions to real business challenges.

Key Responsibilities

• Lead the architecture and development of scalable, multi-component software applications across the full stack.
• Design and implement backend services, APIs, frontend interfaces and integrations between enterprise systems.
• Develop production applications using Python, TypeScript and modern web technologies.
• Architect cloud-based solutions using AWS services, including Lambda, ECS/Fargate, S3 and API Gateway.
• Design and manage infrastructure using Terraform, Docker and modern CI/CD pipelines.
• Evaluate new technologies through proof-of-concepts and make informed architectural recommendations.
• Explore and implement AI-powered capabilities, including LLM integrations, agent frameworks and tool-augmented workflows.
• Optimise application performance, reliability, security and maintainability across high-volume data environments.
• Work closely with product, analytics, data engineering and commercial stakeholders to translate business needs into technical solutions.
• Define integration patterns, authentication and authorisation approaches, API contracts and scalable system architectures.
• Support the evolution of early-stage applications into robust platforms suitable for enterprise deployment.
• Provide technical guidance, mentor engineers and promote software engineering best practices.

Essential Requirements

• Extensive Python development experience, building and maintaining production applications.
• Strong AWS experience, particularly with Lambda, ECS/Fargate, S3 and API Gateway.
• Proven experience deploying and managing containerised applications using Docker.
• Strong SQL skills and experience working with data warehouses.
• Hands-on experience with Infrastructure as Code, particularly Terraform.
• Proficiency with Git, CI/CD pipelines and modern software delivery practices.
• Demonstrable experience designing and delivering multi-component software systems, from architecture through to production.
• Experience making architectural decisions and balancing technical trade-offs in a fast-paced environment.
• Strong problem-solving skills and the ability to communicate technical decisions to both technical and non-technical stakeholders.

Desirable Experience

• Modern web development using Next.js, React and TypeScript.
• Google Cloud Platform services, particularly BigQuery and Cloud Run.
• Enterprise authentication and authorisation, including SSO, SAML, OAuth and role-based access control.
• Designing and optimising applications that process large datasets at scale.
• Experience with B2B SaaS platforms, CRM systems or sales enablement tools.
• Scaling minimum viable products into enterprise-grade applications.
• Agile development methodologies and tools such as Jira.
• Full-stack development spanning cloud infrastructure, backend services and frontend interfaces.
• Mentoring engineers and establishing technical standards and best practices.
• Automated document generation, data visualisation or similar application capabilities.
• Integrating LLM APIs into production applications and developing AI-powered features.
• Familiarity with the Model Context Protocol (MCP), AI agent frameworks or tool-enabled LLM workflows.
• Experience developing customer onboarding, self-service or customer success platforms.

The Opportunity

This position is suited to a technically strong architect who enjoys staying hands-on with development while influencing the wider direction of a software platform.

Youll have the opportunity to shape architectural decisions, introduce new technologies and develop scalable solutions that deliver measurable business value, working within a collaborative environment with the backing and resources of an established global organisation.

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