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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