Senior Java Architect – Cloud, Microservices & AI-Driven Loyalty Platform

13 years

0 Lacs

Posted:2 weeks ago| Platform: Indeed logo

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Job Type

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Job Description

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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