Top Tech Jobs & Startup Jobs in Chennai

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.

Provides Level 2 advanced support for Mainframe platforms, resolving complex incidents and performing root cause analysis. Maintains z/OS infrastructure, supports upgrades and migrations, and improves performance, capacity, reliability, and availability. Drives SRE adoption, automation, observability, monitoring, AIOps, and AI-enabled operational improvements. Collaborates across technology teams, mentors junior staff, maintains technical documentation, and ensures compliance with security, risk, and operational standards.

Leads enterprise database architecture, modernization, cloud and DBaaS migration, high availability, replication, performance tuning, security, DevOps automation, disaster recovery, governance, and regulatory compliance. Oversees mission-critical Oracle, PostgreSQL, NoSQL, and distributed database platforms across multi-region banking environments. Provides technical leadership to database engineers and administrators, manages vendor relationships, leads incident response and audit activities, and drives infrastructure as code, CI/CD, observability, and database resiliency initiatives.

Leads multiple engineering teams responsible for application development and delivery. Provides strategic and technical leadership, manages personnel, establishes standards, resolves complex application issues, and influences senior stakeholders. The role requires extensive experience with Java, microservices, cloud-native architecture, distributed systems, databases, CI/CD, event-driven design, container orchestration, Agile methodologies, and scalable, resilient applications.

Develop and maintain enterprise full-stack applications using Java, Spring Boot, Hibernate, Angular, SQL, microservices, and Kafka. Integrate AI and machine learning solutions using Python, LangChain, and AI development kits. Participate across the SDLC, support production systems, assess risks, estimate projects, translate business requirements, implement security practices, and mentor junior developers.

Lead the end-to-end development, optimization, deployment, and support of Tableau BI dashboards. Design data visualizations, develop SQL-based solutions and data models, collaborate with offshore teams, explore generative AI and LLMs, manage development projects, support business users, and mentor analysts while ensuring compliance and risk controls.

Develop and support Oracle database applications across the full development lifecycle, including analysis, design, construction, testing, implementation, performance tuning, and user support. Build tables, procedures, functions, packages, views, and triggers; optimize database performance; implement security measures; support deployment processes; and advise junior analysts. Collaborate with business users and technology teams while ensuring compliance, operational standards, and risk controls.

Design, modernize, and operate enterprise cloud platforms across AWS and Azure. Lead cloud architecture, platform engineering, infrastructure automation (IaC), observability, security, networking, database and reliability engineering for large-scale modernization initiatives.

Lead development of scalable Java and Spring Boot backend services, microservices, REST APIs, CI/CD pipelines, automated testing frameworks, and distributed systems. Responsibilities include system design, code reviews, observability, performance tuning, production support, database optimization, security and compliance, AI/ML integration, and mentoring developers. The role collaborates with product, QA, frontend, and DevOps teams while driving resilient engineering practices and reliable deployments.

Lead the architecture and development of scalable Python applications supporting credit risk analytics, workflows, and reporting. Design microservices and cloud-native platforms using modern engineering, observability, testing, and deployment practices. Partner with risk, product, data, and technology leaders while ensuring compliance, resilience, and production readiness. Apply AI and GenAI to automate workflows and enhance analytics, mentor engineers, and guide technical delivery across complex enterprise systems.