"Alerted.org

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

Basic Qualifications

+ 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)

technical solutions

• Champion bias-for-action culture while maintaining high technical standards

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.