Solutions Architect
Tec Partners
Charing Cross, United Kingdom
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 110KJob location
Remote
Charing Cross, United Kingdom
Tech stack
Java
JavaScript
API
Agile Methodologies
Artificial Intelligence
C Sharp (Programming Language)
Continuous Integration
Video Game Development
Python
Scrum
TensorFlow
Data Streaming
Openapi
Google Cloud Platform
PyTorch
Backend
Event Driven Architecture
Kubernetes
Kafka
Api Design
Docker
Microservices
Job description
- 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.