Top Tech Jobs & Startup Jobs in Chennai

Partners with senior leaders across Operations and Global Functions to manage budgets, forecasts, costs, performance analysis, business cases, and financial controls. Translates operational and financial data into recommendations, models transformation and AI-enabled workflow impacts, identifies productivity opportunities, and drives accountability for risks, opportunities, and financial outcomes.

Develop and design complex software across multiple systems, provide architectural and coding expertise, resolve complex defects, and translate customer needs into technical solutions. The role leads technical collaboration with internal and external teams, contributes to specifications and project planning, mentors developers, and builds Java and React applications using AWS cloud services. Responsibilities also include payment-service integration, security vulnerability remediation, testing, optimization, troubleshooting, risk assessment, and stakeholder communication.

Lead digital marketing for scientific journals and conferences, managing email campaigns, webpages, websites, marketing tools, analytics, testing, workflow improvements, and stakeholder escalations. The role supports e-marketing delivery, advises on web marketing best practices, evaluates emerging technologies, and coaches nontechnical colleagues while meeting quality standards and SLAs.

Designs and implements taxonomy and ontology linking, alignment, and semantic data models. Maintains controlled vocabularies using SKOS, SKOS-XL, and OWL; queries semantic data with SPARQL; integrates systems through REST APIs; and develops Python tools for modeling and integration workflows. Collaborates with stakeholders to translate data needs into semantic solutions and may mentor engineers. Preferred experience includes large-scale ontology alignment, Git, AWS services, CI/CD automation, SHACL, and Life Sciences.

Designs and delivers scalable, secure, distributed multi-tenant software systems across multiple services. Owns end-to-end technical delivery, translates complex business requirements into pragmatic solutions, drives coding and testing standards, and supports reliability, monitoring, and incident management. Collaborates with product and global stakeholders, identifies delivery risks, mentors engineers, and contributes to engineering excellence, operational performance, and architectural decisions.

Designs, delivers, and evolves scalable sales and marketing data platforms, pipelines, and warehouse solutions. Leads Snowflake and dbt development, data modeling, performance, observability, reliability, CI/CD, testing, and DevSecOps practices. Owns complex initiatives through production, mentors engineers, partners with product and analytics stakeholders, leads incident investigations, and evaluates AI-assisted engineering technologies.

Administer and optimize Docebo as the primary technical steward, providing platform support, troubleshooting, configuration, integrations, identity provisioning, automation, documentation, governance, and rollout support. The role partners with Salesforce, HR, security, and technology teams to maintain data integrity, improve reliability, support sales enablement adoption, and scale reusable implementation patterns across global business teams.

Develops, maintains, and supports software solutions for ICIS products and services. Responsibilities include troubleshooting customer issues, contributing to product planning and estimation, supporting other teams, participating in knowledge sharing, and driving continuous improvement. The role requires strong C# and .NET expertise, familiarity with React, TypeScript, micro frontends, Docker, MongoDB, AWS, Python, GitHub, CI pipelines, and Agile development.

Develop scalable aviation analytics software and data solutions using Python, SQL, PySpark, Snowflake, and AWS. Responsibilities include designing complex system components and data models, resolving bugs, reviewing code, applying Agile or Waterfall practices, collaborating with stakeholders, and mentoring junior engineers. The role also involves optimizing data workflows, supporting machine learning or statistical analysis, and influencing technical direction.

Develop and maintain enterprise Power BI reports, dashboards, semantic models, and data integrations. Responsibilities include advanced DAX and Power Query development, SQL troubleshooting, performance optimization, security, refreshes, gateways, deployment pipelines, and Microsoft Fabric capacity management. The role collaborates with stakeholders, data engineers, and support teams; documents solutions; resolves production issues; and promotes reporting standards and best practices.