Philips Cloud Architect 

India, Karnataka 

635590021

Cloud Architect

Cloud and Edge Architecture Design:

• Design scalable, secure, and reliable cloud architectures using AWS services and C# for backend systems.
• Architect edge services to enable real-time, low-latency connectivity between field-deployed console systems and cloud infrastructure.
• Develop cloud-native solutions leveraging microservices, serverless functions, and distributed systems.

AWS Expertise:

• Design and manage AWS cloud infrastructure, utilizing services like EC2, Lambda, RDS, S3, and VPC.
• Implement and optimize AWS services such as AWS IoT Greengrass, AWS Lambda@Edge, and AWS CloudFront to ensure seamless communication between edge systems and the cloud.
• Ensure fault tolerance, high availability, and disaster recovery strategies for both edge and cloud components.

Edge Services & Connectivity:

• Design and implement edge computing solutions to handle data processing and filtering at the edge before transmitting to the cloud.
• Enable secure, real-time communication from field-deployed console systems to the cloud using technologies like MQTT, WebSockets, or AWS IoT Core.
• Ensure reliable connectivity and manage data synchronization for intermittent or limited connectivity environments.

High-Performance Data Streaming:

• Optimize data ingestion, storage, and retrieval for large volumes of imaging and real-time data.
• Architect solutions for high-performance data streaming using AWS Kinesis, Kafka, or other real-time data pipelines.
• Enable edge devices to preprocess and stream only relevant data to optimize bandwidth usage.

Data Compression and Transmission:

• Implement data compression techniques to reduce the bandwidth and storage requirements for transmitting imaging data from edge devices to the cloud.
• Ensure efficient and reliable data transmission, using appropriate compression algorithms, to minimize latency and transmission errors.

Telemetry and Monitoring:

• Design and implement telemetry systems to monitor the performance, health, and security of both edge and cloud infrastructure.
• Implement real-time monitoring solutions for field devices, using AWS CloudWatch, Prometheus, or similar tools to ensure system health and connectivity.
• Proactively identify performance bottlenecks and optimize edge-to-cloud communication.

Security and Compliance:

• Ensure end-to-end security, including encryption, identity, and access management (IAM) for data transmitted between edge devices and the cloud.
• Implement robust security protocols for both edge devices and cloud environments, adhering to industry standards (e.g., HIPAA, GDPR).
• Manage secure communication channels and data protection for sensitive information sent from the field.

Collaboration with Development Teams:

• Collaborate with development teams to ensure the cloud and edge architecture aligns with business and technical requirements.
• Provide mentorship and guidance in cloud-native development using C#, microservices, and DevOps best practices.

Database Management:

• Architect scalable database solutions using relational (e.g., SQL Server, RDS) and NoSQL (e.g., DynamoDB) databases to support real-time data processing.
• Optimize database performance for managing large data sets streamed from the edge.

Performance Optimization and Scaling:

• Design and implement auto-scaling solutions to handle dynamic workloads in the cloud and at the edge.
• Continuously monitor and optimize system performance, ensuring low-latency processing of real-time data from field consoles.

CI/CD and Automation:

• Establish and maintain CI/CD pipelines for cloud and edge deployments, automating builds, testing, and infrastructure provisioning.
• Utilize Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation to automate cloud and edge infrastructure management.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Overall 16+ years of experience required .
• Proven experience as a Cloud Architect or Senior Cloud Engineer, with experience in edge computing and cloud-to-edge communication.
• Proficiency in C# and experience developing cloud-based solutions using .NET.
• Strong expertise in AWS architecture and services, with AWS certification (Solutions Architect or equivalent) preferred.
• Deep understanding of edge computing technologies and protocols (e.g., AWS IoT Greengrass, MQTT, AWS Lambda@Edge).
• Expertise in telemetry and monitoring tools for edge and cloud applications.
• Experience with optimizing data ingestion, storage, and retrieval for real-time imaging data.
• Knowledge of data compression techniques and efficient real-time data transmission from edge devices to the cloud.
• Familiarity with databases, including SQL Server, RDS, and DynamoDB.
• Experience with microservices architecture, serverless computing, and DevOps practices.
• Strong problem-solving skills and the ability to work effectively within a collaborative environment.
• Excellent communication skills, capable of explaining complex technical concepts to both technical and non-technical stakeholders.

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