Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
About the Role
We are looking for a highly experienced Solution Architect with deep expertise in Full stack Development, AWS Cloud Computing, Microservices, Event-Driven Architecture, and IoT Integration. The ideal candidate must have 12+ years of experience in designing, developing, and deploying enterprise-level IoT solutions that integrate cloud, edge computing, and on-premises systems.
As a technical leader, you will define the architecture, strategy, and execution of robust IoT ecosystems, ensuring high availability, security, and scalability. You will work with cross-functional teams to design high-performance, cost-optimized, and future-proof solutions that leverage real-time data processing, AI/ML, and analytics to drive business decisions.
Key Responsibilities
Architect and design end-to-end IoT solutions integrating edge devices, cloud platforms, real-time processing, and analytics.
Lead the development of event-driven and microservices-based architectures using .NET 8 Node.js
Define and implement device communication protocols including MQTT, AMQP, CoAP, WebSockets, OPC UA, and Modbus.
Design and implement real-time data ingestion pipelines with AWS IoT Core, Kinesis, Kafka, and AWS Greengrass.
Ensure high-performance and distributed data storage using PostgreSQL, DynamoDB, InfluxDB, and Time-Series 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 real-time anomaly detection and automation.
Establish monitoring, logging, and observability using AWS CloudWatch, Prometheus, Grafana, and ELK Stack.
Define fault-tolerant 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
Bachelor's 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 device-to-cloud 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 event-driven 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 time-series databases (InfluxDB, TimescaleDB).
Strong security background, including IoT device security, IAM, encryption, and network security.
Hands-on experience with Infrastructure as Code (Terraform, AWS CDK, CloudFormation).
Strong background in data processing pipelines, ETL, and real-time analytics.
Familiarity with Digital Twin technology and AI/ML integration in IoT.
Deep understanding of IoT device lifecycle management, including provisioning, firmware updates, and over-the-air (OTA) updates.
Experience with DevOps automation, CI/CD, and monitoring/logging best practices.
Ability to lead large-scale distributed systems design and troubleshooting.
Excellent problem-solving skills and ability to work in a collaborative environment.
Strong analytical, problem-solving, and decision-making skills.
Excellent leadership, stakeholder management, and mentoring abilities.
Nice-to-Have
Hands-on experience with AI/ML-driven 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 real-time control systems, SCADA, and industrial IoT (IIoT).
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, Event-Driven Architecture, and IoT Integration. The ideal candidate must have 12+ years of experience in designing, developing, and deploying enterprise-level IoT solutions that integrate cloud, edge computing, and on-premises systems.
As a technical leader, you will define the architecture, strategy, and execution of robust IoT ecosystems, ensuring high availability, security, and scalability. You will work with cross-functional teams to design high-performance, cost-optimized, and future-proof solutions that leverage real-time data processing, AI/ML, and analytics to drive business decisions.
Key Responsibilities
Architect and design end-to-end IoT solutions integrating edge devices, cloud platforms, real-time processing, and analytics.
Lead the development of event-driven and microservices-based architectures using .NET 8 Node.js
Define and implement device communication protocols including MQTT, AMQP, CoAP, WebSockets, OPC UA, and Modbus.
Design and implement real-time data ingestion pipelines with AWS IoT Core, Kinesis, Kafka, and AWS Greengrass.
Ensure high-performance and distributed data storage using PostgreSQL, DynamoDB, InfluxDB, and Time-Series 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 real-time anomaly detection and automation.
Establish monitoring, logging, and observability using AWS CloudWatch, Prometheus, Grafana, and ELK Stack.
Define fault-tolerant 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
Bachelor's 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 device-to-cloud 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 event-driven 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 time-series databases (InfluxDB, TimescaleDB).
Strong security background, including IoT device security, IAM, encryption, and network security.
Hands-on experience with Infrastructure as Code (Terraform, AWS CDK, CloudFormation).
Strong background in data processing pipelines, ETL, and real-time analytics.
Familiarity with Digital Twin technology and AI/ML integration in IoT.
Deep understanding of IoT device lifecycle management, including provisioning, firmware updates, and over-the-air (OTA) updates.
Experience with DevOps automation, CI/CD, and monitoring/logging best practices.
Ability to lead large-scale distributed systems design and troubleshooting.
Excellent problem-solving skills and ability to work in a collaborative environment.
Strong analytical, problem-solving, and decision-making skills.
Excellent leadership, stakeholder management, and mentoring abilities.
Nice-to-Have
Hands-on experience with AI/ML-driven 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 real-time control systems, SCADA, and industrial IoT (IIoT).
12+ years