This role will focus on designing, deploying, and managing edge-based applications using AWS technologies, while collaborating with cross-functional teams to deliver robust, scalable, and secure solutions.
Designing and architecting IoT solutions that utilize AWS IoT Greengrass for edge processing, local data management, and secure communication between devices and the cloud.
Developing custom Greengrass components (e.g., Lambda functions, Docker containers) to run on edge devices, enabling local data processing, machine learning inference, and integration with local resources (sensors, peripherals).
Configuring and managing Greengrass core devices and client devices, ensuring secure connectivity, authentication, and authorization within the IoT ecosystem.
Implementing data management strategies for edge devices, including local data storage, filtering, aggregation, and efficient data transmission to AWS IoT Core or other AWS services.
Ensuring the security of IoT solutions by implementing best practices for device authentication, data encryption, and access control within the Greengrass environment.
Monitoring the health and performance of Greengrass deployments, troubleshooting issues related to device connectivity, component execution, and data flow.
Integrating Greengrass solutions with other AWS services such as AWS IoT Core, S3, Lambda, SageMaker, and CloudWatch for comprehensive IoT functionality.
Managing the remote deployment and updates of software and Greengrass components to edge devices.
Strong understanding of AWS IoT services, particularly AWS IoT Greengrass (V1 and V2), AWS IoT Core, and related services.
Proficiency in programming languages commonly used in IoT development (e.g., Python, Java, Node.js).
Experience with edge computing concepts, including local data processing, offline capabilities, and resource-constrained environments.
Knowledge of networking protocols, security best practices, and secure communication within IoT systems.
Familiarity with Linux-based operating systems commonly found on IoT devices.
Strong analytical and problem-solving skills to diagnose and resolve issues in complex IoT environments.
Excellent communication skills to collaborate with cross-functional teams and explain technical concepts.
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is consistently listed among the most admired companies in the world.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you'll deliver services to and collaborate with stakeholders outside the province who may not speak French.