Top Tech Jobs & Startup Jobs in Chennai

Provide world-class customer support for Toast and xtraCHEF through phone, chat, and email. Resolve issues using product knowledge, troubleshooting, probing, and creative problem-solving. Escalate cases appropriately, maintain accurate and timely responses, meet service-level and performance targets, and continuously learn Toast hardware and software. The role requires adaptability, multitasking, strong communication, fast typing, teamwork, and availability for rotating 24/7 shifts, including weekends and holidays.

Provides Level 1 and Level 2 technical support for operating systems, applications, hardware, meeting-room technology, and AV systems. Manages ServiceNow tickets, IT asset lifecycles, onboarding equipment, inventory audits, and escalations. Supports company events and town halls through AV setup, rehearsals, live issue resolution, and teardown. Maintains knowledge-base content, contributes to process improvements, and delivers customer-focused service while meeting SLA targets.

Build and scale a resilient, automated batch processing platform on GCP. Migrate on‑prem workloads to OneTru, optimize batch triggers and LFE configurations, improve reliability and operational efficiency, and apply automation and basic AI to standardize processes.

Independently leads data analytics and business intelligence initiatives, combining complex data sources to generate actionable insights. Performs exploratory analysis, hypothesis testing, forecasting, and LLM model development. Communicates findings through executive presentations and data visualizations while ensuring data integrity and compliance. Partners with business stakeholders to define technical requirements and applies emerging analytics, statistics, and machine learning techniques to business challenges.

Designs and implements complex data-processing pipelines and software solutions in collaboration with business and product teams. Responsibilities include clarifying requirements, creating technical designs, contributing to platform and product quality, conducting code reviews, testing, onboarding engineers, and working in Agile environments. The role requires experience with Big Data technologies, databases, cloud platforms, AI tools, Python, GitHub, object-oriented design, and software development principles.

Drive Pfizer product sales across an assigned territory by meeting sales budgets, visiting doctors, hospitals, retailers, chemists, and wholesalers, delivering tailored product promotions, managing key customers and opinion leaders, organizing medical education programs, monitoring competitors and inventory, submitting reports, and adhering to company policies, compliance requirements, and pharmacovigilance procedures.

The Engineer will apply experience in automotive latch commodities or other mechanism commodities within Magna’s Mechatronics, Mirrors and Lighting group. The role supports development of automotive technologies in a dynamic, global environment. The posting provides limited detail on specific daily responsibilities beyond requiring relevant commodity or mechanism experience.

Leads junior developers and oversees technical delivery, vendor engagement, technical risk management, development quality, code reviews, recruitment, onboarding, and training. Participates in the full software development lifecycle, translating business requirements into Java web and API solutions. Reviews technical specifications, mentors team members, and applies design patterns, SQL, Spring technologies, containerization, and CI/CD practices in banking or wealth-management projects.

Leads end-to-end post-GA business operations for Ericsson BSS products, including team leadership, workforce planning, budgets, forecasting, maintenance lifecycle decisions, release quality, third-party support licensing, governance, metrics, and operational improvement. The role partners across product development, support, finance, sales, and services to drive standardization, customer focus, automation, AI adoption, service readiness, and sustainable operational performance in global, matrixed environments.

Build, deploy, monitor, and retrain machine learning models for ETA forecasting, status extraction, and logistics automation. Develop regression, classification, time-series, NLP, and LLM-based solutions using noisy supply chain data. Own production ML pipelines, diagnose offline-to-live performance gaps, and measure business impact. Collaborate with product, engineering, and operations teams while mentoring data scientists and making architecture and build-versus-buy decisions.

Lead strategy and execution for AI-first product engineering: build and scale cloud-native conversational AI and enterprise SaaS platforms, grow global engineering leadership, partner with Product/Data Science, and improve delivery velocity, quality, and operational excellence.