Top Tech Jobs & Startup Jobs in Chennai

The Salesforce Developer is responsible for developing customized solutions, designing, coding, testing applications, troubleshooting, and maintaining application security.

The Data Analyst II will develop complex data models, analyze datasets, create dashboards, and collaborate with teams for data-driven insights.

The AI/ML Engineer III translates business goals into ML metrics, leads ML model development, and oversees deployment and monitoring of AI solutions, driving innovation and collaboration across teams.

The Workday Administrator and Sr Lead will manage Workday operations, configure modules, lead support teams, and ensure compliance through robust security measures. This role involves project management and stakeholder collaboration to align HR systems with organizational goals.

Support and maintain global CDN cluster environments and server hardware; coordinate with ISPs, vendors, and colocation facilities to troubleshoot network and server issues, perform root cause analysis, and participate in 24/7 operations and peering strategies.

The AI/ML Engineer II role involves developing AI solutions, managing product backlogs, integrating LLMs, and collaborating on automation projects while leading improvements in IT processes.

Manage moderate to high complexity projects, driving delivery through data analysis, technical judgment, and effective communication. Resolve technical issues and support stakeholders.

Design, automate, and operate multi-cloud infrastructure and Kubernetes platforms using Terraform, Ansible, and CI/CD/GitOps. Implement networking, observability, incident response, and mentor engineers to build secure, resilient, self-healing systems.

Coordinate and execute end-to-end data center networking projects, track milestones and risks, manage vendors and stakeholders, report KPIs, drive process improvements, and support deployment and post-deployment activities to ensure on-time delivery.

The Data Engineer will build and maintain ETL/ELT pipelines, implement automated data quality checks, optimize data storage, and create interactive visualizations. They will manage CI/CD pipelines and deliver production-ready data solutions.