Software Engineer - Java/Spring Boot

Key Responsibilities

• Design and develop scalable microservices in Java and Python with embedded AI/ML capabilities.
• Build and manage distributed systems with high availability and fault tolerance.
• Develop RESTful and GraphQL APIs to power features like fraud detection, KYC automation, and personalization.
• Work with MySQL and MongoDB to support structured, semi-structured, and unstructured data.
• Integrate AI models via REST/gRPC using TorchServe, FastAPI, TensorFlow Serving.
• Create real-time AI pipelines with Kafka and Redis Streams.
• Align with DevOps practices using Jenkins, GitLab, Docker, and Kubernetes.
• Integrate cloud-native services on AWS: EC2, Lambda, RDS, S3, ECS, EKS.
• Implement OAuth2/JWT authentication, ensuring compliance with FinTech data regulations.
• Collaborate with product, DevOps, and QA teams to deliver high-quality software on Skills & Experience :
• 7+ years of experience in software development, with strong backend focus.
  

Proficient In

• Java (Spring Boot / Play Framework)
• Python (automation, scripting, ML integration)
• Microservices architecture, RESTful APIs
• Hands-on experience with MySQL and MongoDB.
• Experience integrating AI/ML models in production environments.
• Sound understanding of secure coding, data privacy, and FinTech standards (e.g., RBI, PCI-DSS).
• Familiarity with GraphQL, Kafka, Redis, Docker, and Kubernetes.
• Cloud experience with AWS, Azure, or GCP.
• Experience with CI/CD tools (Jenkins, GitLab, CircleCI).
• Exposure to front-end technologies (React, Angular, or Vue.js) is a Experience :
• Experience deploying or consuming AI APIs in real-time systems.
• Domain experience in AI-powered FinTech use cases (e.g., fraud detection, credit scoring, document parsing).
• Collaboration experience with data scientists and ML engineers.
• Familiarity with markets and deployments across Southeast Asia is a bonus.