Bangalore, Karnataka, India
Information Technology
Full-Time
Devlats Pvt Ltd
Overview
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.
- 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.
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