Top Tech Jobs & Startup Jobs in Chennai

Develop and maintain automated testing frameworks, scripts, CI/CD pipelines, test plans, dashboards, and quality metrics for unified communications products. Responsibilities include API, smoke, and regression testing; debugging automation and environment defects; release support; test strategy development; defect triage; and collaboration with software, network, and external teams. The role requires working with SIP and voice technologies, modern testing tools, Agile and DevOps practices, and variable schedules including nights and weekends.

Develop and architect customized Microsoft Dynamics 365 CRM solutions in complex enterprise environments. Responsibilities include hands-on development, Dynamics 365 Sales and Marketing functionality, Power Platform implementation, system integrations, data quality management, identity and access management, Power BI reporting, reusable frameworks, codebase modernization, and application of software engineering principles. The role also involves Microsoft Copilot and AI integration, with MCP knowledge advantageous.

Supervises advertising operations staff, assigns projects, manages performance, resolves escalated issues, and ensures advertising deadlines and procedures are met. Communicates with sales teams and business partners, reviews verification reports, investigates lost revenue, improves operational processes, and supports organizational growth. Requires independent judgment, coaching, staff development, and availability for nights, weekends, variable schedules, and overtime.

Develop AI-powered agentic workflows, LLM-integrated automation, intelligent log parsers, observability dashboards, and release-readiness tooling for connectivity device software. Analyze device stability, performance, reliability, telemetry, crash signatures, and system resources while automating defect triage, test generation, failure prediction, and build qualification. Collaborate across engineering teams and document repeatable workflows, triage processes, and operational best practices.

Administers and optimizes Microsoft SQL Server, PostgreSQL, and MongoDB environments. Monitors database performance and availability, manages backups and recovery, supports security and high availability, tunes queries, and maintains SSIS and SSRS solutions. Collaborates with developers on database design and deployments, responds to incidents, documents procedures, and contributes to automation using SQL, PowerShell, and Python.

Develops and supports low-code and Python-based automation solutions using Microsoft Power Platform. Translates business requirements into technical specifications, integrates APIs and enterprise systems, performs testing and troubleshooting, supports SDLC activities, documents solutions, and assists with maintenance, vulnerability remediation, patching, and operational support. Collaborates with stakeholders and senior engineers to improve processes and deliver secure, efficient technology solutions.

Develops and maintains software applications using C, C++, Linux, and RDK. Responsibilities include analyzing integration needs, designing and programming software, reviewing requirements and technical documentation, evaluating tests, debugging, collaborating with quality assurance, and applying engineering and project management practices. The role requires independent judgment, documentation, punctual attendance, and flexibility for nights, weekends, and overtime.

Lead design, development, integration, and performance optimization of scalable, secure web and software applications. Mentor engineers, collaborate with cross-functional teams, run design and peer-programming sessions, create and maintain documentation, monitor application metrics, and ensure quality through coordination with QA. Provide technical guidance to stakeholders and work variable schedules including nights and weekends.

Design, build, and operate an automated backend Auto Publisher service for validated EPG data. Integrate planning, image, and metadata systems using Kotlin, Java, Kafka, MongoDB, and PostgreSQL. Develop event-driven workflows, validation and transformation logic, resilient APIs, persistence models, auditability, testing frameworks, and error handling. Collaborate with product, editorial, communications, press, planning, metadata, and engineering stakeholders to replace manual publishing processes with scalable, traceable automation.

Develops, deploys, monitors, and maintains machine learning pipelines and algorithms. Performs exploratory data analysis, feature extraction, modeling, tuning, experiment tracking, anomaly detection, classification, clustering, and forecasting. Translates business requirements into analytical problems, evaluates solutions, mentors junior professionals, and communicates findings to technical and non-technical stakeholders. May lead projects and contribute to Agile development processes.