Cloud Architect

2 months ago


Bengaluru Karnataka, India Philips Full time

**Job Title**: Cloud Architect

**Cloud Architect**

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.
- 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.
- Experience with optimizing data ingestion, storage, and retrieval for real-time imaging data.
- Knowledge of data compression tec


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