Top Tech Jobs & Startup Jobs in Chennai

Lead content strategy and execution to build thought leadership and demand for a cloud-native infosec compliance platform. Plan and manage editorial calendars, create and promote white papers, blogs, research, multimedia, and partner materials, measure content performance, collaborate with product and demand teams, and manage internal/external writers and agencies.

Design, develop, and optimize SQL Server databases and ETL processes; troubleshoot and tune queries; ensure high availability, backups, deployments, and enforce database standards and documentation while collaborating with application and infrastructure teams.

Design and lead enterprise-grade AI and Gen-AI integrations using the MCP (Model-Context-Prompt) framework. Architect LLM integrations, define prompt engineering and context strategies, evaluate models, design scalable secure solutions, oversee deployment/monitoring/optimization, mentor development teams, translate business needs into technical designs, and provide night-shift production support.

Develop and own backend systems and infrastructure, design scalable resilient architectures, estimate and deliver projects, collaborate with product and engineering, and translate product features into system designs following best practices.

Develop and maintain BPM solutions using jBPM and Drools. Build scalable BPMN 2.0 workflows, integrate REST/SOAP APIs, deploy on JBoss/WildFly, design rule engines, debug issues, and manage BPM lifecycle. Requires strong Java/J2EE background and analytical skills.

Serve as a finance-focused SAP S/4HANA functional advisor: review SI designs, validate end-to-end finance processes (FI/CO/COPA), produce functional documentation, lead UAT/integration testing, support change management, and partner with finance, SI, and IT during go-live and hypercare.

Lead finance process analysis and transformation: document As-Is/To-Be workflows, gather and validate requirements, run stakeholder workshops, enable finance data standardization for reporting and Databricks/Data Lake integration, support UAT, and recommend automation and controls to improve financial close, reconciliations, and reporting.

Lead end-to-end finance process analysis and redesign to improve invoice-to-pay, GL reconciliation, and reporting. Work with Finance leadership and data teams to optimise and structure finance processes for integration into Databricks/Data Lake, enabling cleaner financial data and improved analytics for transformation initiatives.