Solutions Architect

Solution Architect – Java/Spring Boot/GCP/Microservices/IAM

Location: Leeds, Bristol, Edinburgh and Halifax.

B2B Contract Employment

Budget: Around 500 GBP Per Day Inside IR35

Key Responsibilities:

• Design end-to-end architecture for cloud-native applications using Java, Spring Boot, and Microservices.
• Define architectural best practices, standards, and frameworks for GCP-based solutions.
• Ensure security, scalability, and high availability of applications.
• Design microservices architecture with RESTful APIs and event-driven patterns (Kafka/Pub-Sub).
• Good experience in Authentication and Authorisation implementations
• Good understanding on Fine grain and policy-based authorisation
• Exposure and deep understanding on Agentic AI guardrails
• Implement API security with OAuth2, JWT, OpenID Connect, and API Gateway (Apigee/Cloud Endpoints).
• Implement authentication and authorization mechanisms for applications and APIs
• Guide development teams on best practices, design patterns, and cloud security.
• Collaborate with Product Owners, DevOps, and Security teams to ensure successful solution delivery.
• Conduct code reviews, performance tuning, Architectural reviews and troubleshooting.
• 15+ years of experience in software development, with at least 3+ years as a Solution Architect.
• Strong hands-on expertise in Java 11+/Spring Boot, Spring Security, Spring Cloud.
• Deep understanding of GCP services (Compute, Networking, Storage, IAM, Security).
• Experience designing and implementing Microservices, Event-driven architecture, and API Management.
• Strong knowledge of IAM concepts, Forgerock, authentication/authorization mechanisms, and security best practices.
• Experience with Kubernetes (GKE), Docker, Terraform, and CI/CD pipelines.
• Strong problem-solving, communication, and leadership skills.
• Experience with GraphQL, gRPC, and Service Mesh (Istio/Linkerd).
• Familiarity with AI/ML integrations, observability tools (Dynatrace, Grafana, ELK).
• Experience or good understanding in Agentic AI

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