About ChiStats :

ChiStats is an award-winning Data Science and AI Engineering company building intelligent technology solutions for the Financial Services and BFSI ecosystem. From AI-powered compliance platforms to scalable data products, we help financial institutions simplify complexity, automate operations, and stay ahead in a rapidly evolving regulatory landscape. Our flagship platform, ComplianceAssist, enables Mutual Funds, AMCs, PMS, and AIFs to transform regulatory compliance into a streamlined, automated, and insight-driven process.

As we continue to expand, we are building the next generation of AI-led products and solutions for the WealthTech industry.

We are looking for a skilled and enthusiastic Java Engineer to join our growing technology team. The role involves building scalable backend solutions, integrations, and data-driven solutions leveraging modern cloud technologies. You will work closely with engineering, product, and business teams to deliver high-quality solutions for global clients.

Working Hours : 3 :00 PM to 12 :00 AM IST (US Shift)

Work Mode : Hybrid

Key Responsibilities :

- Design, develop, and maintain robust Java-based solutions and backend services.

- Build and support integrations with internal and external systems through APIs and data interfaces.

- Develop solutions for data ingestion, transformation, processing, and validation.

- Work with structured and semi-structured data from multiple sources.

- Create and optimize database queries, data models, and application performance.

- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

- Participate in technical design discussions, code reviews, testing, and deployment activities.

- Troubleshoot and resolve production issues while ensuring application reliability and performance.

Required Skills & Experience :

- 4-5 years of hands-on experience in Java development.

- Strong knowledge of Core Java, Spring Boot, REST APIs, and Microservices architecture.

- Good understanding of data structures, object-oriented design principles, and software engineering best practices.

- Strong SQL skills and experience working with PostgreSQL or similar relational databases.

- Experience working with JSON, data exchange formats, and API-based integrations.

- Understanding of data processing, data transformation, and handling large datasets.

- Experience with version control systems such as Git/Bitbucket.

- Familiarity with Agile development methodologies.

Preferred Skills :

- Experience working on AWS cloud platforms and services.

- Exposure to DynamoDB, S3, Lambda, API Gateway, SQS/SNS, or related AWS services.

- Familiarity with data integration patterns and ETL concepts.

- Basic knowledge of Python or scripting for automation and data-related tasks.

- Understanding of analytics, AI/ML, or Generative AI concepts.

- Experience working with NoSQL databases and event-driven architectures.

What We're Looking For :

- Strong analytical and problem-solving skills.

- Good communication and stakeholder management abilities.

- Ability to work independently and take ownership of deliverables.

- Comfortable working with US-based teams and stakeholders.

- Adaptable, curious, and willing to learn new technologies.

- Prior experience working in a startup, product company, or fast-paced technology environment is highly desirable.

Technology Stack :

- Java, Spring Boot

- REST APIs, Microservices

- PostgreSQL

- DynamoDB

- JSON/XML

- AWS (S3, Lambda, API Gateway, SQS/SNS)

- Git, Bitbucket

- SQL & Data Processing

- GenAI / AI Exposure (Desirable)