Top Tech Jobs & Startup Jobs in Chennai

Develops and supports Oracle EBS applications across payment, procurement, accounting, and project modules. Responsibilities include systems analysis, application design, programming, testing, implementation, user support, security recommendations, workflow and integration development, and process improvement. The role requires expertise in Oracle EBS technologies, PL/SQL, forms, reports, web services, and AI-assisted development. Acts as a subject matter expert, advises stakeholders, mentors junior analysts, assesses risk, and operates independently with limited supervision.

Develop and support Oracle database applications across the full development lifecycle, including analysis, design, construction, testing, implementation, optimization, and user support. Build database objects and business logic, tune queries, resolve performance issues, manage deployments, and collaborate with business and technology teams. The role also provides technical guidance to junior analysts and requires independent judgment, risk awareness, and compliance with applicable policies.

Build and maintain scalable Java and Spring Boot backend services within a microservices architecture. Develop Node.js and TypeScript user interfaces, integrate APIs across multiple databases, and contribute throughout the software development lifecycle. Use Docker, Kubernetes, and CI/CD practices to deploy reliable applications. Collaborate with stakeholders, participate in code reviews, mentor junior developers, document solutions, and address performance, security, and technical debt issues.

Leads the design, development, integration, testing, and implementation of scalable, high-performance Java applications. Partners with management and technology teams to define system enhancements, resolve complex technical problems, establish coding and testing standards, and ensure architectural alignment. Provides technical guidance to developers and analysts, evaluates risk and compliance, and drives solutions using Java/J2EE, web technologies, APIs, databases, containers, cloud platforms, messaging, and CI/CD tools.

Leads Oracle EBS financial application implementations, enhancements, upgrades, production support, and integrations. Supports General Ledger, Project Accounting, Fixed Assets, Procure-to-Pay, payment workflows, and electronic invoicing. Coordinates business requirements, BRDs, UAT, testing, releases, cutovers, hypercare, and vendor support. Tracks programs, risks, issues, and regulatory initiatives while partnering with global stakeholders. Provides solution leadership, troubleshooting, SQL/PLSQL analysis, Oracle debugging, process guidance, and support for technology and supply chain teams.

Leads quality engineering for agentic AI and RAG systems, covering end-to-end testing, automated evaluation, safety and security assessments, performance and reliability testing, red teaming, data validation, observability, and production readiness. The role validates agent reasoning, tool use, retrieval quality, guardrails, privacy, resilience, scalability, and cost efficiency while establishing test frameworks, SLOs, and continuous regression processes.

Leads enterprise data engineering and applications development for data reporting, issue management, and transformation initiatives. Oversees data platforms, pipelines, ETL, warehouses, analytics products, data quality, governance, security, and performance optimization. Manages technology roadmaps, stakeholder relationships, delivery governance, platform stability, and large-scale modernization programs while coaching technical teams and ensuring compliance.

Develop and enhance application systems using Java and Apache Spark. Analyze code, identify vulnerabilities, conduct testing and debugging, resolve technical issues, and support customer-facing systems. Collaborate with users and technology teams to recommend solutions, provide technical guidance, and implement system improvements. Operate independently, advise junior analysts, manage risks, and ensure compliance with applicable policies and regulations.

Design and lead enterprise-grade AI agents, data pipelines, ELT/ETL processes, microservices, and data federation layers. Build generative AI solutions using Google ADK and LLMs, integrate agentic AI tools, and deploy scalable applications across cloud-native, Kubernetes, OpenShift, and CI/CD environments. Ensure data quality, security, resilience, and compliance while advancing data engineering standards and supporting risk technology initiatives.

Leads the design, modernization, and operation of enterprise full-stack cloud applications across AWS and Azure. Responsibilities include cloud and platform architecture, Java and Spring Boot microservices, distributed systems, data architecture, Angular or React applications, infrastructure as code, networking, security, observability, reliability engineering, automation, and large-scale modernization. The role also supports CI/CD, containerization, orchestration, and Agile development practices.