Solution Architect Net Custom Apps AWS
Solution Architect Net Custom Apps AWS
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Job Description
About the Role
We are looking for a highly experienced Solution Architect with deep expertise in Full stack Development AWS Cloud Computing Microservices EventDriven Architecture and IoT Integration. The ideal candidate must have 12 years of experience in designing developing and deploying enterpriselevel IoT solutions that integrate cloud edge computing and onpremises systems.
As a technical leader you will define the architecture strategy and of robust IoT ecosystems ensuring high availability security and scalability. You will work with crossfunctional teams to design highperformance costoptimized and futureproof solutions that leverage realtime data processing AI/ML and analytics to drive business decisions.
Key Responsibilities
Architect and design endtoend IoT solutions integrating edge devices cloud platforms realtime processing and analytics.
Lead the development of eventdriven and microservicesbased architectures using .NET 8 Node.js
Define and implement device communication protocols including MQTT AMQP CoAP WebSockets OPC UA and Modbus.
Design and implement realtime data ingestion pipelines with AWS IoT Core Kinesis Kafka and AWS Greengrass.
Ensure highperformance and distributed data storage using PostgreSQL DynamoDB InfluxDB and TimeSeries Databases.
Architect serverless and containerized solutions using AWS Lambda ECS EKS Kubernetes and Fargate.
Develop and manage API ecosystems (RESTful APIs GraphQL and gRPC) for seamless data interoperability.
Oversee device provisioning firmware updates and remote management of IoT devices.
Implement cloud security best practices including OAuth2 JWT AWS IAM Cognito and Zero Trust Architecture.
Design and optimize Infrastructure as Code (IaC) solutions with Terraform AWS CloudFormation and Pulumi.
Develop highly scalable CI/CD pipelines for rapid and secure deployments.
Implement AI/ML and predictive analytics solutions for realtime anomaly detection and automation.
Establish monitoring logging and observability using AWS CloudWatch Prometheus Grafana and ELK Stack.
Define faulttolerant architectures with failover mechanisms and disaster recovery strategies.
Guide and mentor teams conduct technical reviews and drive best coding practices.
Collaborate with product managers business teams and DevOps engineers to align technical solutions with business goals
Key Skills and Qualifications
Bachelors degree in Computer Science Engineering or a related field.
12 years of experience in C# and .NET application development.
Proven experience in IoT ecosystems edge computing and devicetocloud integration.
Advanced expertise in AWS Cloud Services including AWS IoT Core Greengrass Lambda API Gateway S3 DynamoDB Kinesis RDS EKS and ECS.
Strong experience in microservices and eventdriven architectures using Kafka RabbitMQ and AWS SNS/SQS.
Proficiency in .NET 8 Node.js
Deep knowledge of containerization (Docker Kubernetes AWS EKS Fargate).
Expertise in PostgreSQL NoSQL databases (DynamoDB MongoDB) and timeseries databases (InfluxDB TimescaleDB).
Strong security background including IoT device security IAM encryption and network security.
Handson experience with Infrastructure as Code Terraform AWS CDK CloudFormation.
Strong background in data processing pipelines ETL and realtime analytics.
Familiarity with Digital Twin technology and AI/ML integration in IoT.
Deep understanding of IoT device lifecycle management including provisioning firmware updates and overtheair (OTA) updates.
Experience with DevOps automation CI/CD and monitoring/logging best practices.
Ability to lead largescale distributed systems design and troubleshooting.
Excellent problemsolving skills and ability to work in a collaborative environment.
Strong analytical problemsolving and decisionmaking skills.
Excellent leadership stakeholder management and mentoring abilities.
NicetoHave
Handson experience with AI/MLdriven IoT analytics and edge AI models.
Knowledge of blockchain for IoT security and smart contracts.
Experience with serverless computing and hybrid cloud architectures.
Background in realtime control systems SCADA and industrial IoT (IIoT).
Qualifications :
Educational qualification:
B.E/B.Tect/MCA
Experience :
12 years
About the Role
We are looking for a highly experienced Solution Architect with deep expertise in Full stack Development AWS Cloud Computing Microservices EventDriven Architecture and IoT Integration. The ideal candidate must have 12 years of experience in designing developing and deploying enterpriselevel IoT solutions that integrate cloud edge computing and onpremises systems.
As a technical leader you will define the architecture strategy and of robust IoT ecosystems ensuring high availability security and scalability. You will work with crossfunctional teams to design highperformance costoptimized and futureproof solutions that leverage realtime data processing AI/ML and analytics to drive business decisions.
Key Responsibilities
Architect and design endtoend IoT solutions integrating edge devices cloud platforms realtime processing and analytics.
Lead the development of eventdriven and microservicesbased architectures using .NET 8 Node.js
Define and implement device communication protocols including MQTT AMQP CoAP WebSockets OPC UA and Modbus.
Design and implement realtime data ingestion pipelines with AWS IoT Core Kinesis Kafka and AWS Greengrass.
Ensure highperformance and distributed data storage using PostgreSQL DynamoDB InfluxDB and TimeSeries Databases.
Architect serverless and containerized solutions using AWS Lambda ECS EKS Kubernetes and Fargate.
Develop and manage API ecosystems (RESTful APIs GraphQL and gRPC) for seamless data interoperability.
Oversee device provisioning firmware updates and remote management of IoT devices.
Implement cloud security best practices including OAuth2 JWT AWS IAM Cognito and Zero Trust Architecture.
Design and optimize Infrastructure as Code (IaC) solutions with Terraform AWS CloudFormation and Pulumi.
Develop highly scalable CI/CD pipelines for rapid and secure deployments.
Implement AI/ML and predictive analytics solutions for realtime anomaly detection and automation.
Establish monitoring logging and observability using AWS CloudWatch Prometheus Grafana and ELK Stack.
Define faulttolerant architectures with failover mechanisms and disaster recovery strategies.
Guide and mentor teams conduct technical reviews and drive best coding practices.
Collaborate with product managers business teams and DevOps engineers to align technical solutions with business goals
Key Skills and Qualifications
Bachelors degree in Computer Science Engineering or a related field.
12 years of experience in C# and .NET application development.
Proven experience in IoT ecosystems edge computing and devicetocloud integration.
Advanced expertise in AWS Cloud Services including AWS IoT Core Greengrass Lambda API Gateway S3 DynamoDB Kinesis RDS EKS and ECS.
Strong experience in microservices and eventdriven architectures using Kafka RabbitMQ and AWS SNS/SQS.
Proficiency in .NET 8 Node.js
Deep knowledge of containerization (Docker Kubernetes AWS EKS Fargate).
Expertise in PostgreSQL NoSQL databases (DynamoDB MongoDB) and timeseries databases (InfluxDB TimescaleDB).
Strong security background including IoT device security IAM encryption and network security.
Handson experience with Infrastructure as Code Terraform AWS CDK CloudFormation.
Strong background in data processing pipelines ETL and realtime analytics.
Familiarity with Digital Twin technology and AI/ML integration in IoT.
Deep understanding of IoT device lifecycle management including provisioning firmware updates and overtheair (OTA) updates.
Experience with DevOps automation CI/CD and monitoring/logging best practices.
Ability to lead largescale distributed systems design and troubleshooting.
Excellent problemsolving skills and ability to work in a collaborative environment.
Strong analytical problemsolving and decisionmaking skills.
Excellent leadership stakeholder management and mentoring abilities.
NicetoHave
Handson experience with AI/MLdriven IoT analytics and edge AI models.
Knowledge of blockchain for IoT security and smart contracts.
Experience with serverless computing and hybrid cloud architectures.
Background in realtime control systems SCADA and industrial IoT (IIoT).
Additional Information :
12 years
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
