Top Tech Jobs & Startup Jobs in Chennai

Develop and maintain scalable, secure backend services and APIs using Java and Spring Boot. Participate across the software development lifecycle, write and review code, troubleshoot complex issues, optimize performance, and contribute to architecture and process improvements. Collaborate with cross-functional stakeholders, stay current with emerging technologies, and mentor junior developers.

Provide day-to-day operations support including record maintenance, account opening, imaging, dispute resolution, customer inquiry handling, MIS reporting, training support, Lean/process improvements, and risk/compliance adherence while liaising with internal stakeholders.

Provide day-to-day operations support for sanctions screening and account processing, acting as SME. Maintain records, execute reviews and change requests, liaise with business partners, produce reports and content solutions, ensure process controls and compliance, and support sanctions-related documentation and training.

Maintains credit-system data by processing credit requests, recording facilities, reviewing credit reports, tracking changes and action plans, preparing audit and portfolio reports, and supporting internal and external auditors. The role evaluates factual information, resolves issues using established procedures, monitors credit exposure, and ensures compliance with credit policies, regulations, and control requirements.

Lead design and delivery of large-scale AI/ML systems, microservices, and data engineering pipelines. Build and deploy LLM-based solutions using modern ML frameworks, cloud-native architectures, CI/CD, and observability while managing stakeholders and enterprise agile delivery in financial services.

Design, build, and maintain scalable data pipelines, AI agents, and microservice integrations using Python, PySpark, Databricks, and agentic AI tools. Deploy and automate cloud-native, CI/CD workflows, ensure data quality and security, and drive adoption of Data Mesh/federation and AI use cases across retail and wealth risk platforms.

The role involves enhancing application systems, providing solutions, consulting with clients, and analyzing vulnerabilities in applications while advising lower-level analysts and ensuring compliance with regulations.

Design, build, and maintain scalable data pipelines and AI agents using Python, PySpark, Databricks, Kafka and microservices. Deploy and integrate agentic AI (Google ADK, Devin.AI, MCP), implement Data Mesh/federation, automate microservice integrations with cloud-native infrastructure (OpenShift/Kubernetes) and CI/CD, ensure data quality/security, and drive compliance and best practices within Retail and Wealth Risk Engineering.

Participate in design, development, testing, debugging, and implementation of application systems. Consult with users and teams, recommend programming solutions, support customer systems, identify vulnerabilities, coach junior analysts, and ensure compliance and risk-aware decisions.

Lead applications support analyst who provides technical authority for application support, partners with multiple technology and business teams, defines scope for complex enhancements, documents requirements, identifies risks and security issues, coaches junior analysts, and influences strategic decisions to ensure integrated, secure, and effective application operations.