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7+ Yrs Exp | Bachelor’s in CS, IT, Software, or Data Engineering | Senior Full Stack Engineering | Sustainability Data Analytics & Cloud Solutions | Hyderabad, Telangana, India | On-site | Full Time

Take Technical Ownership of Enterprise Sustainability Analytics Platforms, AWS/GCP Cloud Architectures, and Agentic Workflow Automations

Join Carrier Global Corporation as a Senior Full Stack Engineer within the Sustainability Data Analytics team in Hyderabad, India (Raheja Mindspace, Cyberabad). In this autonomous, high-visibility role, you will serve as the primary technical owner for Carrier’s suite of digital sustainability, ESG reporting, and data governance applications. You will design, develop, and maintain end-to-end full-stack architectures using React, TypeScript, Python, and SQL on AWS (with GCP expansion), while embedding AI-powered copilots and agentic workflows to automate enterprise data processes.

Key Responsibilities:

  • Own the end-to-end software development lifecycle for critical Sustainability Data Analytics applications, from architectural design and coding to cloud deployment and ongoing support.
  • Build responsive front-end user interfaces using React and JavaScript/TypeScript, paired with robust backend microservices in Python and SQL.
  • Architect and maintain cloud-native infrastructure, APIs, and microservices on AWS while preparing systems for future Google Cloud Platform (GCP) integration.
  • Design and deploy AI-driven capabilities, agentic workflows, and Microsoft Copilot integrations to automate manual data collection and reporting tasks.
  • Partner directly with global business leaders and ESG stakeholders to translate sustainability and analytics requirements into scalable technical solutions.
  • Enforce software engineering best practices, including application security standards, automated testing frameworks, performance tuning, and CI/CD pipelines.

Tools/Technologies Used:

  • Front-End & Back-End Stack: React, JavaScript, TypeScript, Python, RESTful APIs, Microservices Architecture
  • Databases & Analytics: SQL, Snowflake, Power BI, Data Governance & Feature Engineering Pipelines
  • Cloud Infrastructure & MLOps: AWS (Core Services), Google Cloud Platform (GCP), Cloud Migration, CI/CD, Application Security
  • AI & Automation: Agentic AI Workflows, Generative AI Integration, Microsoft Copilot Solutions, Intelligent Process Automation
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