Roles and Responsibilities Cloud & IoT Solutions Implementation (50%25) • Design and implement secure & scalable cloud-native architectures (Microservices, Serverless, Container) using comprehensive AWS stack • Build end-to-end IoT solutions from device connectivity through data analytics • Develop real-time streaming data pipelines from hardware devices and sensors • Design and implement time-series database solutions and data engineering frameworks • Create robust proof-of-concepts (POCs) from ground-up using AWS services Big Data & Analytics Platform Development (25%25) • Implement and optimize big data solutions using Amazon Kinesis, Glue, EMR, Redshift, and Timestream • Design data lakes and warehouses for massive IoT data ingestion and analysis • Build real-time analytics dashboards and reporting frameworks • Optimize query performance and data processing workflows to match business needs • Develop data governance and security frameworks aligning with enterprise guidelines AI/ML Implementation & Innovation (15%25) • Lead implementation of AI-driven solutions for smart grid applications • Develop predictive analytics and anomaly detection systems for grid operations working with Data Scientists • Deploy, optimize and integrate Generative AI, machine learning, deep learning, and natural language processing models for high value use cases • Prototype AI solutions using AWS AI/ML services (SageMaker, Bedrock, etc.) Technical Leadership & Mentoring (10%25) • Guide and mentor junior developers and team members • Lead technical design reviews and architecture decisions • Drive best practices for cloud development and DevOps methodologies • Collaborate with cross-functional teams to translate business requirements into technical solutions • Champion bias-for-action culture while maintaining high technical standards