Software Engineer

JD Level II-

Key Responsibilities:

• Develop and maintain a robust and scalable big data insights platform to drive AI-assisted process automation and deliver actionable insights.
• Develop solutions that combine state-of-the-art Generative AI techniques with rich data to deliver best-in-class automation and user experience.
• Design and implement batch and near real-time data pipelines using Spark, Flink, and BigQuery.
• Design and implement efficient data models in relational and NoSQL databases like MySQL, Druid, BigQuery, and HBase.
• Leverage cloud-native technologies to build world-class backend platforms.
• Work closely with cross-functional teams and other stakeholders to deliver features.
• Lead feature or component design reviews and is fully recognized as the go-to developer for that component.
• Participate in architecture discussions and propose and discuss solutions to platform and product changes.
• Stay current with emerging technologies and promote a culture of excellence

Skills Needed:

• Proficiency in Java and Spring framework or equivalent
• Proficiency in designing, implementing, and integrating REST API services
• Experience with relational and NoSQL databases like MySQL, HBase, DynamoDB or equivalent
• Knowledge of OLAP databases like BigQuery, Druid, Starrocks or equivalent
• Knowledge of streaming data platforms like Kafka or equivalent
• Knowledge of distributed systems, stream processing, data model design, and cloud-native technologies
• Proven ability to design and write reliable, available, scalable, maintainable, secure, and performant code
• Strong communication and collaboration skills
• Familiarity with AI developer tools and Generative AI technologies is a plus
• Experience with Python for AI workflows is a plus
• Experience with cloud vendor platforms (Google Cloud Platform/AWS/Azure) is a plus
• Experience with frontend development is a plus

What You Bring:

• 3-5+ years of relevant backend software engineering experience
• Proficiency in Java and Spring framework or equivalent
• Proficiency in designing and implementing REST or GraphQL API services
• Experience with RDBMS and NoSQL databases including database schema design, distributed data processing, caching, and query optimization strategies
• Knowledge of distributed systems, asynchronous processing, cloud-native applications, and containerization
• Proven ability to design and write reliable, available, scalable, maintainable, secure, and performant code
• Strong communication skills

Good To Have:

• Experience with big data technologies
• Experience with cloud vendor platforms (Google Cloud Platform/AWS/Azure)
• Experience using agentic AI developer tools
• Experience with emerging AI design patterns
• Frontend full stack experience
• Knowledge of payment processing or regulatory compliance industry
• Solid knowledge in Java and experience in design and implementation of REST-APIs, Spring Boot.
• Experience in micro-service and high concurrency service design and optimization.
• Experience in large-scale service architecture design.
• Good understanding of database principles and SQL optimization beyond just data access.
• Good understanding and experience of message queue and asynchronous programming.
• Strong communication skills and written English.
• Experience in event-driven service development is a big plus.
• Experience in Big Data technology is a big plus.
• Experience in AI technology is a big plus.