Senior Java Architect – Cloud, Microservices
2 days ago
Job Title: Senior Java Architect - Cloud, Microservices & AI-Driven Loyalty Platform
Experience: 13+ years (3+ years in solution architecture or technical leadership)
Location: Trivandrum, Kerala
Job Type: Full time, Permanent
Need Immediate Joiners.
Open for Kerala Candidates Only.
Core Responsibilities:
- Define, evolve, and govern system architecture, microservice decomposition, API standards, and data strategy
- Lead design reviews, scalability assessments, and cost optimization across distributed systems
- Architect and validate multi-region cloud deployments ensuring reliability and compliance
- Introduce and standardize AI-assisted workflows (Codex, Copilot, Claude) for development acceleration and code consistency
- Collaborate with product, data, and infrastructure teams to align architecture with business goals
- Mentor developers and senior engineers, establish code and design quality benchmarks
- Guide integration with analytics and BI frameworks, enabling better observability and reporting
Technical Expertise:
- Core Stack: Java 11+/17, Spring Boot, Spring Cloud, REST APIs, GraphQL
- Cloud: AWS and GCP. Familiarity with various services like ECS/EKS, Lambda, API Gateway, CloudWatch, SQS/SNS, DynamoDB, RDS, S3, CloudFormation, IAM, Secrets Manager, EventBridge etc
- Messaging & Integration: Kafka, RabbitMQ, Amazon SQS/SNS, gRPC, RESTful contracts
- DevOps & Tooling: Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, SonarQube
- Observability: OpenTelemetry, Prometheus, Grafana, ELK/CloudWatch dashboards, log correlation
- AI & GenAI: OpenAI APIs (prompt engineering, code generation, summarization), GitHub Copilot, Amazon Bedrock for automation
- Analytics & Reporting: AWS QuickSight, Athena, Redshift, Data Lake design, real-time data pipelines
- Security & Governance: OAuth2, JWT, AWS KMS, WAF, secrets management, compliance in cloud
Bonus Experience:
- Building recommendation systems or personalization APIs
- Hands-on with fraud detection / risk scoring using ML services
- Experience in loyalty, fintech, or points management systems
What You'll Gain
- Technical ownership in a world-scale loyalty platform
- Collaboration with product and AI/ML innovation teams
- Influence over technical direction and architecture roadmap
- A culture of engineering excellence, experimentation, and mentorship
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