L
Lloyds Technology Centre
Solution Architect
Skills
Google Cloud PlatformDockerJavaMicroservicesSpring BootKafkaGraphQLGrafanaMachine LearningAIKubernetesTerraform
2 months ago
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Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Hybrid
Published on:
13 August 2026
What they need
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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