Top Tech Jobs & Startup Jobs in Chennai

Lead the design, development, and scaling of a digital experience analytics platform. Build data foundations and AI-driven decision systems using Azure, Databricks, dbt, Python, SQL, and cloud data technologies. Guide junior engineers, collaborate with product and analytics teams, support data architecture, modeling, governance, quality, and operationalization, and coordinate cloud deployments and technical delivery across onsite and offshore teams.

Perform Oracle EBS database engineering and administration, including patching, upgrades, performance tuning, backup and recovery, disaster recovery, security, monitoring, and troubleshooting. Maintain multi-node EBS environments using RAC, ASM, CRS, RMAN, Data Guard, and EBS administration utilities. Automate tasks with PL/SQL, Shell, and Perl, monitor system integrity and compliance, and recommend infrastructure, security, and platform improvements.

Provides strategic technical leadership for enterprise Java platforms across supply chain, inventory, order management, fulfillment, logistics, marketplace, and retail operations. Leads architecture, cloud-native distributed systems, microservices, event-driven solutions, modernization, DevSecOps, technical governance, production operations, and engineering standards. Partners with cross-functional stakeholders, mentors engineers, and drives scalable, secure, resilient platform development.

Senior QA Engineer responsible for manual and automated end-to-end integration testing of enterprise B2B2C eCommerce platforms. Develops and maintains Java/Selenium automation scripts, test plans, protocols, metrics, and defect documentation. Reviews automation code, resolves issues, supports quality improvements, and collaborates with engineering, security, product, and eCommerce teams. Provides subject matter expertise, status reporting, mentoring, and occasional leadership for QA initiatives.

Performs manual and automated end-to-end integration testing for enterprise eCommerce platforms. Develops and maintains Java/Selenium automation scripts, test plans, protocols, and quality metrics; documents and resolves defects; tracks testing progress; and collaborates with engineering, product, security, and eCommerce teams. The role also reviews automation code, improves QA processes, supports cloud testing, serves as an eCommerce platform SME, and mentors junior QA associates.

Designs, develops, integrates, and supports Oracle Fusion HCM solutions using OIC and OCI. Responsibilities include configuring HCM modules, building REST/SOAP and file-based integrations, developing reports and data-loading scripts, managing OCI security and identity configurations, supporting payroll and compliance processes, contributing to CI/CD automation, resolving production issues, documenting solutions, and mentoring contractors.

Develop and maintain SEO-focused software applications and resilient test automation. Collaborate on technical solutions, code reviews, troubleshooting, documentation, performance and load testing, and exploratory testing. The role requires Java development, test automation, API testing, cloud deployment, database experience, RESTful APIs, and familiarity with CI/CD, containers, monitoring, and security practices.

Manages sourcing, supplier identification, negotiations, purchase execution, supplier performance, spend analysis, savings tracking, procurement operations, reporting, compliance, and process improvement. Partners with Finance, Legal, Operations, Logistics, Technology, and business stakeholders to optimize costs, manage supplier risks, maintain procurement records, and improve purchasing workflows.

Provides comprehensive support to senior leadership through complex calendar management, meeting coordination, travel planning, event logistics, stakeholder follow-up, presentation preparation, and confidential administrative support. The role anticipates executive needs, protects leadership time, tracks commitments, coordinates across global teams, and ensures priorities and deliverables progress effectively.

Lead the enterprise data governance strategy, including metadata management, business glossaries, data lineage, semantic layers, data products, quality standards, and trust frameworks. Partner with engineering, analytics, AI/ML, architecture, business, and product teams to enable governed analytics, generative AI, autonomous agents, and reliable decision-making. Establish stewardship models, governance councils, certification processes, and AI-ready data standards while influencing enterprise stakeholders and driving adoption.