Cloud Architect

Cloud Architect

Job Description:

We are seeking a skilled Cloud Architect to join our team. The Cloud Architect will play a critical role in designing, implementing, and maintaining the cloud infrastructure and edge services required to support field-deployed console systems. Leveraging expertise in C#, AWS, telemetry, and edge computing, you will ensure seamless, high-performance connectivity between edge devices and the cloud. This includes optimizing data ingestion, storage, and retrieval for real-time imaging data processing, as well as ensuring efficient data compression and transmission from edge devices.

Key Responsibilities:

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.

About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.

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