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Senior Solutions Architect

TEC Partners
Greater London
5 months ago
Applications closed

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Role: Senior Solution Architect

Location: London - 2 days a week

Salary: Up to £, DOE + 10% Bonus

We're working with a globally recognised organisation in the mobile gaming space to recruit an experienced Senior Solution Architect to join their central solutions team. This is a high-impact, remote role where you'll help define and implement scalable architecture across cloud-native systems and Unity-based mobile games. You'll also play a key role in shaping AI enablement and automation within a fast-paced, tech-forward environment.

Key Responsibilities:

Collaborate with stakeholders, engineers, and product managers to define architectural solutions. Design scalable, secure backend systems using microservices and Google Cloud. Ensure seamless integration of APIs and backend services into Unity-based game environments. Provide architectural oversight on AI enablement and automation initiatives. Create and maintain architecture diagrams, API specs (OpenAPI 3.0), and data flows. Promote best practices in system design, performance, and automation. Identify risks and propose mitigation strategies during solution planning. Stay ahead of emerging cloud and AI technologies to drive innovation.

Requirements:

5+ years of experience as a Solution Architect in cloud-native environments. Proven experience with backend systems, microservices, and cross-functional technical projects. Strong knowledge of Google Cloud Platform (or similar), messaging systems (Kafka, Pub/Sub), and event-driven architecture. Proficient in API design and documentation using OpenAPI 3.0. Skilled in backend and AI-relevant languages (e.g., Python, Java, C#, JavaScript). Experience working within Agile methodologies (Scrum/Kanban). Excellent communication and stakeholder management skills.

Desirable:

Previous experience in gaming or a strong passion for game development. Familiarity with Unity game development and its backend integration. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, etc.). Exposure to automation-focused architecture and delivery.

To apply or find out more, please get in touch for a confidential discussion.

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