Senior Full Stack Cloud Engineer - Smart Grid 2.0
About The Position
Roles and Responsibilities Cloud & IoT Solutions Implementation (50%) • 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%) • 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%) • 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%) • 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
Requirements
- AWS cloud services ecosystem (EC2, Lambda, IoT Core, Kinesis, S3, DynamoDB, Redshift, Glue, RDS, Bedrock etc.)
- Experience with Programming languages (Python, Java, C#, Go, JavaScript/TypeScript)
- AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition)
- Big data technologies (Amazon EMR, Redshift, Spark, Hadoop)
- Deploying machine learning models, deep learning algorithms
- IoT knowledge including device connectivity, protocols, and data ingestion
- Real-time streaming data processing and analytics
- Time-series databases (Amazon Timestream, InfluxDB, or similar)
- Data engineering and ETL/ELT pipeline development
- Experience with SonarQube
- IoT platforms and edge computing solutions
- Industrial communication protocols (MQTT, OPC-UA, Modbus, DNP3)
- Containerization and orchestration (Docker, Kubernetes, ECS)
Responsibilities
- 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
- 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
- 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.)
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
