Top Tech Jobs & Startup Jobs in Chennai

Develops and supports Oracle EBS applications across Procure-to-Pay and financial modules. Responsibilities include systems analysis, application design, programming, testing, implementation, user support, security improvements, workflow and integration development, and technical consultation. The role requires expertise in Oracle EBS, PL/SQL, RICE components, XML, BI Publisher, Forms, Reports, OAF, SOAP, REST, and AI-assisted development. The position also serves as a subject-matter expert and advisor to junior analysts.

Develops and supports Oracle EBS applications, including analysis, design, coding, testing, implementation, integration, and production support. Works with Oracle modules, PL/SQL, workflows, forms, reports, OAF, XML, BI Publisher, SOAP, and REST services. Advises stakeholders, evaluates complex issues, manages risk and compliance, improves application security, and mentors junior analysts. Uses AI-assisted development tools to improve software quality, velocity, reliability, and maintainability.

Leads Oracle EBS applications development, systems analysis, architecture alignment, coding standards, testing, debugging, implementation, and process improvements. Provides subject-matter expertise across finance modules, mentors developers, manages complex projects, evaluates risks, and ensures compliance. Requires extensive Oracle EBS technical and functional knowledge, including PL/SQL, RICE, XML, BI Publisher, workflows, OAF, Forms, Reports, and web services. The role also applies AI-assisted development tools to improve software quality and delivery.

Leads development of robust, scalable applications using Java, J2EE, React, REST/SOAP APIs, databases, containers, and cloud technologies. Defines architecture and coding standards, resolves complex systems and business-process issues, drives testing and deployment practices, and ensures high availability and compliance. Advises and coaches developers and analysts while partnering with management teams to deliver system enhancements and new products.

Lead applications development teams while designing, developing, and deploying scalable Generative AI solutions. Build Python backend services, integrate GenAI APIs, implement RAG systems, optimize application security and performance, and ensure testing and code quality. Responsibilities also include technical oversight, hiring and personnel management, resource allocation, risk and compliance management, budget participation, and cross-functional collaboration.

Lead and manage applications development teams while designing, developing, and deploying scalable Generative AI solutions. Build Python backend services, integrate GenAI APIs, implement RAG systems, and optimize application performance, scalability, and security. Oversee technical solutions, staffing, delivery, budgets, risk, compliance, testing, code reviews, and engineering standards. Collaborate with product managers, data scientists, and engineers to deliver reliable AI-powered products.

Architect and develop production-grade generative and agentic AI systems using foundation models, RAG, knowledge graphs, multi-agent orchestration, and context engineering. Build reliable agent harnesses with governance, observability, security, and interoperability protocols. Integrate AI applications into scalable cloud environments, optimize real-time solutions, ensure responsible AI compliance, and mentor junior engineers. The role emphasizes application architecture and orchestration rather than model training or fine-tuning.

Develop and maintain native mobile banking applications, primarily for iOS, across the full Agile software development lifecycle. Responsibilities include translating designs into code, creating and executing automated and manual tests, supporting CI/CD releases, performing accessibility and functional validation, troubleshooting defects, and providing production support. The role also involves collaboration across engineering teams and use of backend, cloud, BDD, and AI-assisted development technologies.

Leads engineering initiatives for credit risk technology, developing scalable full-stack applications and intelligent systems using Agentic AI, machine learning, big data, cloud platforms, and Java technologies. Provides technical direction, architecture oversight, hands-on development, code reviews, mentoring, and adoption of AI-assisted development practices. Partners with global engineering, DevOps, analytics, and business teams to deliver compliant risk-management solutions.

Develop and support enterprise applications across feasibility, analysis, design, development, testing, implementation, and production support. Build full-stack solutions using .NET, C#, ASP.NET, Angular, and SQL Server, while contributing to microservices and containerized environments. Advise stakeholders, recommend secure programming solutions, manage risks, support Agile delivery, and mentor junior analysts. The role requires independent judgment, subject matter expertise, and the ability to manage complex priorities and deadlines.