IIOT Architect
Cognizant
IIOT Architect
Job Description
We are seeking a Senior IIoT Architect responsible for designing and implementing scalable, secure, and efficient Industrial Internet of Things (IIoT) solutions that align with business objectives across manufacturing, pharma, energy, and automotive domains. This role involves defining the overall architecture of IIoT systems, including device connectivity, data flow, cloud integration, data modeling using Unified Namespace (UNS), edge frameworks, Analytics, and Generative AI. The architect will collaborate with cross-functional teams—such as edge engineers, software developers, and data scientists—to ensure seamless integration across platforms and guide the development lifecycle from concept to deployment.
Define and implement reference architectures for IIoT platforms integrating OT systems (PLC, SCADA, MES, Historian) with enterprise IT systems (ERP, CRM, LIMS).
Architect and hands on experience on edge-to-cloud data pipelines using protocols like OPC UA, MQTT, Modbus, and leveraging platforms such as Azure IoT Edge, AWS IoT Core, SiteWise, AWS TwinMaker, AWS Greengrass, AWS IoT Rules Engine, Kinesis, SNS, Dynamo DB, EC2, S3 etc.
Lead the design of Unified Namespace (UNS), industrial data models, and contextualization frameworks for real-time decisioning and digital twins.
Select appropriate technologies and establish security protocols for device-to-cloud communication and data governance. Knowledge of industrial cybersecurity, role-based access control, and regulatory frameworks.
Experience in creating and deploying Micro service-based architecture, testing and deployment automation
Have experience in transitioning large-scale monolithic applications to micro services architecture
Have experience in Cluster Management, Load Balancing, Performance monitoring and Alarm handling
Have experience in Scalability, High Availability, Light Footprint and Low memory-based architecture
Have experience in deployment in Cloud PaaS environments (MS Azure, Amazon AWS or Google Cloud) and Kubernetes based deployment on bare metal
Experience with edge tools like Kepware, HighByte Intelligence Hub, Litmus Edge, Ignition by Inductive Automation
Exposure to Amazon Quicksight, Amazon SageMaker, Bedrock etc.
Experience with AI/ML capabilities, MLOps, LLMs, prompt engineering, RAG, and GenAI orchestration frameworks, intelligent advisory systems
Strong grasp of data lakes, streaming platforms (Kafka, Kinesis), and ETL/ELT pipelines
Implement data governance and quality frameworks including metadata management, lineage tracking, privacy-by-design, and GenAI-powered policy automation.
Collaborate with product engineering, data science, and infrastructure teams to ensure secure, compliant, and performant deployments across cloud and edge environments.
Lead client workshops, solution blueprinting, and advisory engagements to assess maturity, define roadmaps, and guide transformation initiatives.
Strong understanding of core architectural concepts including distributed computing, scalability, availability and performance
Experience in Requirement Understanding, Design and Development of IoT Solutions
Experience in Cloud Computing, SOA, and Web Technologies
Experience in frameworks for Middleware development such as Service Bus, Message Queues etc.
Understanding of any other leading IoT platforms such as Azure is an added advantage
Handson experience with at least one of the languages covering, for example .Net
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000 associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
About the Role/Company
- Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
- Cognizant uses a unique industry-based, consultative approach to help clients envision, build, and run more innovative and efficient businesses
- Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
- Cognizant is consistently listed among the most admired companies in the world
- Cognizant is an equal opportunity employer and does not discriminate based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by law
- Reasonable accommodation for job search and application process available upon request
Key Responsibilities
- Design and implement scalable, secure, and efficient Industrial Internet of Things (IIoT) solutions
- Define the overall architecture of IIoT systems, including device connectivity, data flow, cloud integration, data modeling using Unified Namespace (UNS), edge frameworks, Analytics, and Generative AI
- Collaborate with cross-functional teams such as edge engineers, software developers, and data scientists to ensure seamless integration across platforms
- Guide the development lifecycle from concept to deployment
Required Qualifications
- Experience in defining and implementing reference architectures for IIoT platforms integrating OT systems (PLC, SCADA, MES, Historian) with enterprise IT systems (ERP, CRM, LIMS)
- Hands-on experience with edge-to-cloud data pipelines using protocols like OPC UA, MQTT, Modbus
- Experience with platforms such as Azure IoT Edge, AWS IoT Core, SiteWise, AWS TwinMaker, AWS Greengrass, AWS IoT Rules Engine, Kinesis, SNS, Dynamo DB, EC2, S3
- Experience in leading the design of Unified Namespace (UNS), industrial data models, and contextualization frameworks for real-time decisioning and digital twins
- Knowledge of selecting appropriate technologies and establishing security protocols for device-to-cloud communication and data governance
- Understanding of industrial cybersecurity, role-based access control, and regulatory frameworks
- Experience in creating and deploying Micro service-based architecture, testing and deployment automation
- Experience in transitioning large-scale monolithic applications to micro services architecture
- Experience in Cluster Management, Load Balancing, Performance monitoring and Alarm handling
- Experience in Scalability, High Availability, Light Footprint and Low memory-based architecture
- Experience in deployment in Cloud PaaS environments (MS Azure, Amazon AWS or Google Cloud) and Kubernetes based deployment on bare metal
- Experience with edge tools like Kepware, HighByte Intelligence Hub, Litmus Edge, Ignition by Inductive Automation
- Exposure to Amazon Quicksight, Amazon SageMaker, Bedrock
- Experience with AI/ML capabilities, MLOps, LLMs, prompt engineering, RAG, and GenAI orchestration frameworks, intelligent advisory systems
- Strong grasp of data lakes, streaming platforms (Kafka, Kinesis), and ETL/ELT pipelines
- Experience in implementing data governance and quality frameworks including metadata management, lineage tracking, privacy-by-design, and GenAI-powered policy automation
- Experience in collaborating with product engineering, data science, and infrastructure teams to ensure secure, compliant, and performant deployments across cloud and edge environments
- Experience in leading client workshops, solution blueprinting, and advisory engagements to assess maturity, define roadmaps, and guide transformation initiatives
- Strong understanding of core architectural concepts including distributed computing, scalability, availability and performance
- Experience in Requirement Understanding, Design and Development of IoT Solutions
- Experience in Cloud Computing, SOA, and Web Technologies
- Experience in frameworks for Middleware development such as Service Bus, Message Queues
- Hands-on experience with at least one programming language, for example .Net
Preferred Qualifications
- Understanding of any other leading IoT platforms such as Azure
Skills Required
- Knowledge of OT systems (PLC, SCADA, MES, Historian) and enterprise IT systems (ERP, CRM, LIMS)
- Proficiency in protocols like OPC UA, MQTT, Modbus
- Experience with Azure IoT Edge, AWS IoT Core, SiteWise, AWS TwinMaker, AWS Greengrass, AWS IoT Rules Engine, Kinesis, SNS, Dynamo DB, EC2, S3
- Understanding of Unified Namespace (UNS), industrial data models, and contextualization frameworks
- Knowledge of industrial cybersecurity, role-based access control, and regulatory frameworks
- Experience with Micro service-based architecture, testing and deployment automation
- Skills in transitioning large-scale monolithic applications to micro services architecture
- Experience with Cluster Management, Load Balancing, Performance monitoring and Alarm handling
- Knowledge of Scalability, High Availability, Light Footprint and Low memory-based architecture
- Experience with Cloud PaaS environments (MS Azure, Amazon AWS or Google Cloud) and Kubernetes
- Proficiency with edge tools like Kepware, HighByte Intelligence Hub, Litmus Edge, Ignition by Inductive Automation
- Familiarity with Amazon Quicksight, Amazon SageMaker, Bedrock
- Experience with AI/ML capabilities, MLOps, LLMs, prompt engineering, RAG, and GenAI orchestration frameworks
- Understanding of data lakes, streaming platforms (Kafka, Kinesis), and ETL/ELT pipelines
- Knowledge of data governance and quality frameworks including metadata management, lineage tracking, privacy-by-design, and GenAI-powered policy automation
- Ability to collaborate with product engineering, data science, and infrastructure teams
- Skills in leading client workshops, solution blueprinting, and advisory engagements
- Understanding of core architectural concepts including distributed computing, scalability, availability and performance
- Experience in Requirement Understanding, Design and Development of IoT Solutions
- Knowledge of Cloud Computing, SOA, and Web Technologies
- Experience with frameworks for Middleware development such as Service Bus, Message Queues
- Proficiency in at least one programming language, for example .Net
Benefits & Perks
- Opportunity to work in a global community with more than 300,000 associates
- Supportive and inclusive workplace where everyone can thrive
- Innovative environment to build a personalized career path
- Commitment to taking care of people, clients, company, communities, and climate
Additional Requirements
- Applicants may be required to attend interviews in person or by video conference
- Candidates may be required to present their current state or government issued ID during each interview
Locations
- India
Salary
Salary not disclosed
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Knowledge of OT systems (PLC, SCADA, MES, Historian) and enterprise IT systems (ERP, CRM, LIMS)intermediate
- Proficiency in protocols like OPC UA, MQTT, Modbusintermediate
- Experience with Azure IoT Edge, AWS IoT Core, SiteWise, AWS TwinMaker, AWS Greengrass, AWS IoT Rules Engine, Kinesis, SNS, Dynamo DB, EC2, S3intermediate
- Understanding of Unified Namespace (UNS), industrial data models, and contextualization frameworksintermediate
- Knowledge of industrial cybersecurity, role-based access control, and regulatory frameworksintermediate
- Experience with Micro service-based architecture, testing and deployment automationintermediate
- Skills in transitioning large-scale monolithic applications to micro services architectureintermediate
- Experience with Cluster Management, Load Balancing, Performance monitoring and Alarm handlingintermediate
- Knowledge of Scalability, High Availability, Light Footprint and Low memory-based architectureintermediate
- Experience with Cloud PaaS environments (MS Azure, Amazon AWS or Google Cloud) and Kubernetesintermediate
- Proficiency with edge tools like Kepware, HighByte Intelligence Hub, Litmus Edge, Ignition by Inductive Automationintermediate
- Familiarity with Amazon Quicksight, Amazon SageMaker, Bedrockintermediate
- Experience with AI/ML capabilities, MLOps, LLMs, prompt engineering, RAG, and GenAI orchestration frameworksintermediate
- Understanding of data lakes, streaming platforms (Kafka, Kinesis), and ETL/ELT pipelinesintermediate
- Knowledge of data governance and quality frameworks including metadata management, lineage tracking, privacy-by-design, and GenAI-powered policy automationintermediate
- Ability to collaborate with product engineering, data science, and infrastructure teamsintermediate
- Skills in leading client workshops, solution blueprinting, and advisory engagementsintermediate
- Understanding of core architectural concepts including distributed computing, scalability, availability and performanceintermediate
- Experience in Requirement Understanding, Design and Development of IoT Solutionsintermediate
- Knowledge of Cloud Computing, SOA, and Web Technologiesintermediate
- Experience with frameworks for Middleware development such as Service Bus, Message Queuesintermediate
- Proficiency in at least one programming language, for example .Netintermediate
Required Qualifications
- Experience in defining and implementing reference architectures for IIoT platforms integrating OT systems (PLC, SCADA, MES, Historian) with enterprise IT systems (ERP, CRM, LIMS) (experience)
- Hands-on experience with edge-to-cloud data pipelines using protocols like OPC UA, MQTT, Modbus (experience)
- Experience with platforms such as Azure IoT Edge, AWS IoT Core, SiteWise, AWS TwinMaker, AWS Greengrass, AWS IoT Rules Engine, Kinesis, SNS, Dynamo DB, EC2, S3 (experience)
- Experience in leading the design of Unified Namespace (UNS), industrial data models, and contextualization frameworks for real-time decisioning and digital twins (experience)
- Knowledge of selecting appropriate technologies and establishing security protocols for device-to-cloud communication and data governance (experience)
- Understanding of industrial cybersecurity, role-based access control, and regulatory frameworks (experience)
- Experience in creating and deploying Micro service-based architecture, testing and deployment automation (experience)
- Experience in transitioning large-scale monolithic applications to micro services architecture (experience)
- Experience in Cluster Management, Load Balancing, Performance monitoring and Alarm handling (experience)
- Experience in Scalability, High Availability, Light Footprint and Low memory-based architecture (experience)
- Experience in deployment in Cloud PaaS environments (MS Azure, Amazon AWS or Google Cloud) and Kubernetes based deployment on bare metal (experience)
- Experience with edge tools like Kepware, HighByte Intelligence Hub, Litmus Edge, Ignition by Inductive Automation (experience)
- Exposure to Amazon Quicksight, Amazon SageMaker, Bedrock (experience)
- Experience with AI/ML capabilities, MLOps, LLMs, prompt engineering, RAG, and GenAI orchestration frameworks, intelligent advisory systems (experience)
- Strong grasp of data lakes, streaming platforms (Kafka, Kinesis), and ETL/ELT pipelines (experience)
- Experience in implementing data governance and quality frameworks including metadata management, lineage tracking, privacy-by-design, and GenAI-powered policy automation (experience)
- Experience in collaborating with product engineering, data science, and infrastructure teams to ensure secure, compliant, and performant deployments across cloud and edge environments (experience)
- Experience in leading client workshops, solution blueprinting, and advisory engagements to assess maturity, define roadmaps, and guide transformation initiatives (experience)
- Strong understanding of core architectural concepts including distributed computing, scalability, availability and performance (experience)
- Experience in Requirement Understanding, Design and Development of IoT Solutions (experience)
- Experience in Cloud Computing, SOA, and Web Technologies (experience)
- Experience in frameworks for Middleware development such as Service Bus, Message Queues (experience)
- Hands-on experience with at least one programming language, for example .Net (experience)
Preferred Qualifications
- Understanding of any other leading IoT platforms such as Azure (experience)
Responsibilities
- Design and implement scalable, secure, and efficient Industrial Internet of Things (IIoT) solutions
- Define the overall architecture of IIoT systems, including device connectivity, data flow, cloud integration, data modeling using Unified Namespace (UNS), edge frameworks, Analytics, and Generative AI
- Collaborate with cross-functional teams such as edge engineers, software developers, and data scientists to ensure seamless integration across platforms
- Guide the development lifecycle from concept to deployment
Benefits
- general: Opportunity to work in a global community with more than 300,000 associates
- general: Supportive and inclusive workplace where everyone can thrive
- general: Innovative environment to build a personalized career path
- general: Commitment to taking care of people, clients, company, communities, and climate
Tags & Categories
IIOT Architect
Cognizant
IIOT Architect
Job Description
We are seeking a Senior IIoT Architect responsible for designing and implementing scalable, secure, and efficient Industrial Internet of Things (IIoT) solutions that align with business objectives across manufacturing, pharma, energy, and automotive domains. This role involves defining the overall architecture of IIoT systems, including device connectivity, data flow, cloud integration, data modeling using Unified Namespace (UNS), edge frameworks, Analytics, and Generative AI. The architect will collaborate with cross-functional teams—such as edge engineers, software developers, and data scientists—to ensure seamless integration across platforms and guide the development lifecycle from concept to deployment.
Define and implement reference architectures for IIoT platforms integrating OT systems (PLC, SCADA, MES, Historian) with enterprise IT systems (ERP, CRM, LIMS).
Architect and hands on experience on edge-to-cloud data pipelines using protocols like OPC UA, MQTT, Modbus, and leveraging platforms such as Azure IoT Edge, AWS IoT Core, SiteWise, AWS TwinMaker, AWS Greengrass, AWS IoT Rules Engine, Kinesis, SNS, Dynamo DB, EC2, S3 etc.
Lead the design of Unified Namespace (UNS), industrial data models, and contextualization frameworks for real-time decisioning and digital twins.
Select appropriate technologies and establish security protocols for device-to-cloud communication and data governance. Knowledge of industrial cybersecurity, role-based access control, and regulatory frameworks.
Experience in creating and deploying Micro service-based architecture, testing and deployment automation
Have experience in transitioning large-scale monolithic applications to micro services architecture
Have experience in Cluster Management, Load Balancing, Performance monitoring and Alarm handling
Have experience in Scalability, High Availability, Light Footprint and Low memory-based architecture
Have experience in deployment in Cloud PaaS environments (MS Azure, Amazon AWS or Google Cloud) and Kubernetes based deployment on bare metal
Experience with edge tools like Kepware, HighByte Intelligence Hub, Litmus Edge, Ignition by Inductive Automation
Exposure to Amazon Quicksight, Amazon SageMaker, Bedrock etc.
Experience with AI/ML capabilities, MLOps, LLMs, prompt engineering, RAG, and GenAI orchestration frameworks, intelligent advisory systems
Strong grasp of data lakes, streaming platforms (Kafka, Kinesis), and ETL/ELT pipelines
Implement data governance and quality frameworks including metadata management, lineage tracking, privacy-by-design, and GenAI-powered policy automation.
Collaborate with product engineering, data science, and infrastructure teams to ensure secure, compliant, and performant deployments across cloud and edge environments.
Lead client workshops, solution blueprinting, and advisory engagements to assess maturity, define roadmaps, and guide transformation initiatives.
Strong understanding of core architectural concepts including distributed computing, scalability, availability and performance
Experience in Requirement Understanding, Design and Development of IoT Solutions
Experience in Cloud Computing, SOA, and Web Technologies
Experience in frameworks for Middleware development such as Service Bus, Message Queues etc.
Understanding of any other leading IoT platforms such as Azure is an added advantage
Handson experience with at least one of the languages covering, for example .Net
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000 associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
About the Role/Company
- Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
- Cognizant uses a unique industry-based, consultative approach to help clients envision, build, and run more innovative and efficient businesses
- Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
- Cognizant is consistently listed among the most admired companies in the world
- Cognizant is an equal opportunity employer and does not discriminate based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by law
- Reasonable accommodation for job search and application process available upon request
Key Responsibilities
- Design and implement scalable, secure, and efficient Industrial Internet of Things (IIoT) solutions
- Define the overall architecture of IIoT systems, including device connectivity, data flow, cloud integration, data modeling using Unified Namespace (UNS), edge frameworks, Analytics, and Generative AI
- Collaborate with cross-functional teams such as edge engineers, software developers, and data scientists to ensure seamless integration across platforms
- Guide the development lifecycle from concept to deployment
Required Qualifications
- Experience in defining and implementing reference architectures for IIoT platforms integrating OT systems (PLC, SCADA, MES, Historian) with enterprise IT systems (ERP, CRM, LIMS)
- Hands-on experience with edge-to-cloud data pipelines using protocols like OPC UA, MQTT, Modbus
- Experience with platforms such as Azure IoT Edge, AWS IoT Core, SiteWise, AWS TwinMaker, AWS Greengrass, AWS IoT Rules Engine, Kinesis, SNS, Dynamo DB, EC2, S3
- Experience in leading the design of Unified Namespace (UNS), industrial data models, and contextualization frameworks for real-time decisioning and digital twins
- Knowledge of selecting appropriate technologies and establishing security protocols for device-to-cloud communication and data governance
- Understanding of industrial cybersecurity, role-based access control, and regulatory frameworks
- Experience in creating and deploying Micro service-based architecture, testing and deployment automation
- Experience in transitioning large-scale monolithic applications to micro services architecture
- Experience in Cluster Management, Load Balancing, Performance monitoring and Alarm handling
- Experience in Scalability, High Availability, Light Footprint and Low memory-based architecture
- Experience in deployment in Cloud PaaS environments (MS Azure, Amazon AWS or Google Cloud) and Kubernetes based deployment on bare metal
- Experience with edge tools like Kepware, HighByte Intelligence Hub, Litmus Edge, Ignition by Inductive Automation
- Exposure to Amazon Quicksight, Amazon SageMaker, Bedrock
- Experience with AI/ML capabilities, MLOps, LLMs, prompt engineering, RAG, and GenAI orchestration frameworks, intelligent advisory systems
- Strong grasp of data lakes, streaming platforms (Kafka, Kinesis), and ETL/ELT pipelines
- Experience in implementing data governance and quality frameworks including metadata management, lineage tracking, privacy-by-design, and GenAI-powered policy automation
- Experience in collaborating with product engineering, data science, and infrastructure teams to ensure secure, compliant, and performant deployments across cloud and edge environments
- Experience in leading client workshops, solution blueprinting, and advisory engagements to assess maturity, define roadmaps, and guide transformation initiatives
- Strong understanding of core architectural concepts including distributed computing, scalability, availability and performance
- Experience in Requirement Understanding, Design and Development of IoT Solutions
- Experience in Cloud Computing, SOA, and Web Technologies
- Experience in frameworks for Middleware development such as Service Bus, Message Queues
- Hands-on experience with at least one programming language, for example .Net
Preferred Qualifications
- Understanding of any other leading IoT platforms such as Azure
Skills Required
- Knowledge of OT systems (PLC, SCADA, MES, Historian) and enterprise IT systems (ERP, CRM, LIMS)
- Proficiency in protocols like OPC UA, MQTT, Modbus
- Experience with Azure IoT Edge, AWS IoT Core, SiteWise, AWS TwinMaker, AWS Greengrass, AWS IoT Rules Engine, Kinesis, SNS, Dynamo DB, EC2, S3
- Understanding of Unified Namespace (UNS), industrial data models, and contextualization frameworks
- Knowledge of industrial cybersecurity, role-based access control, and regulatory frameworks
- Experience with Micro service-based architecture, testing and deployment automation
- Skills in transitioning large-scale monolithic applications to micro services architecture
- Experience with Cluster Management, Load Balancing, Performance monitoring and Alarm handling
- Knowledge of Scalability, High Availability, Light Footprint and Low memory-based architecture
- Experience with Cloud PaaS environments (MS Azure, Amazon AWS or Google Cloud) and Kubernetes
- Proficiency with edge tools like Kepware, HighByte Intelligence Hub, Litmus Edge, Ignition by Inductive Automation
- Familiarity with Amazon Quicksight, Amazon SageMaker, Bedrock
- Experience with AI/ML capabilities, MLOps, LLMs, prompt engineering, RAG, and GenAI orchestration frameworks
- Understanding of data lakes, streaming platforms (Kafka, Kinesis), and ETL/ELT pipelines
- Knowledge of data governance and quality frameworks including metadata management, lineage tracking, privacy-by-design, and GenAI-powered policy automation
- Ability to collaborate with product engineering, data science, and infrastructure teams
- Skills in leading client workshops, solution blueprinting, and advisory engagements
- Understanding of core architectural concepts including distributed computing, scalability, availability and performance
- Experience in Requirement Understanding, Design and Development of IoT Solutions
- Knowledge of Cloud Computing, SOA, and Web Technologies
- Experience with frameworks for Middleware development such as Service Bus, Message Queues
- Proficiency in at least one programming language, for example .Net
Benefits & Perks
- Opportunity to work in a global community with more than 300,000 associates
- Supportive and inclusive workplace where everyone can thrive
- Innovative environment to build a personalized career path
- Commitment to taking care of people, clients, company, communities, and climate
Additional Requirements
- Applicants may be required to attend interviews in person or by video conference
- Candidates may be required to present their current state or government issued ID during each interview
Locations
- India
Salary
Salary not disclosed
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Knowledge of OT systems (PLC, SCADA, MES, Historian) and enterprise IT systems (ERP, CRM, LIMS)intermediate
- Proficiency in protocols like OPC UA, MQTT, Modbusintermediate
- Experience with Azure IoT Edge, AWS IoT Core, SiteWise, AWS TwinMaker, AWS Greengrass, AWS IoT Rules Engine, Kinesis, SNS, Dynamo DB, EC2, S3intermediate
- Understanding of Unified Namespace (UNS), industrial data models, and contextualization frameworksintermediate
- Knowledge of industrial cybersecurity, role-based access control, and regulatory frameworksintermediate
- Experience with Micro service-based architecture, testing and deployment automationintermediate
- Skills in transitioning large-scale monolithic applications to micro services architectureintermediate
- Experience with Cluster Management, Load Balancing, Performance monitoring and Alarm handlingintermediate
- Knowledge of Scalability, High Availability, Light Footprint and Low memory-based architectureintermediate
- Experience with Cloud PaaS environments (MS Azure, Amazon AWS or Google Cloud) and Kubernetesintermediate
- Proficiency with edge tools like Kepware, HighByte Intelligence Hub, Litmus Edge, Ignition by Inductive Automationintermediate
- Familiarity with Amazon Quicksight, Amazon SageMaker, Bedrockintermediate
- Experience with AI/ML capabilities, MLOps, LLMs, prompt engineering, RAG, and GenAI orchestration frameworksintermediate
- Understanding of data lakes, streaming platforms (Kafka, Kinesis), and ETL/ELT pipelinesintermediate
- Knowledge of data governance and quality frameworks including metadata management, lineage tracking, privacy-by-design, and GenAI-powered policy automationintermediate
- Ability to collaborate with product engineering, data science, and infrastructure teamsintermediate
- Skills in leading client workshops, solution blueprinting, and advisory engagementsintermediate
- Understanding of core architectural concepts including distributed computing, scalability, availability and performanceintermediate
- Experience in Requirement Understanding, Design and Development of IoT Solutionsintermediate
- Knowledge of Cloud Computing, SOA, and Web Technologiesintermediate
- Experience with frameworks for Middleware development such as Service Bus, Message Queuesintermediate
- Proficiency in at least one programming language, for example .Netintermediate
Required Qualifications
- Experience in defining and implementing reference architectures for IIoT platforms integrating OT systems (PLC, SCADA, MES, Historian) with enterprise IT systems (ERP, CRM, LIMS) (experience)
- Hands-on experience with edge-to-cloud data pipelines using protocols like OPC UA, MQTT, Modbus (experience)
- Experience with platforms such as Azure IoT Edge, AWS IoT Core, SiteWise, AWS TwinMaker, AWS Greengrass, AWS IoT Rules Engine, Kinesis, SNS, Dynamo DB, EC2, S3 (experience)
- Experience in leading the design of Unified Namespace (UNS), industrial data models, and contextualization frameworks for real-time decisioning and digital twins (experience)
- Knowledge of selecting appropriate technologies and establishing security protocols for device-to-cloud communication and data governance (experience)
- Understanding of industrial cybersecurity, role-based access control, and regulatory frameworks (experience)
- Experience in creating and deploying Micro service-based architecture, testing and deployment automation (experience)
- Experience in transitioning large-scale monolithic applications to micro services architecture (experience)
- Experience in Cluster Management, Load Balancing, Performance monitoring and Alarm handling (experience)
- Experience in Scalability, High Availability, Light Footprint and Low memory-based architecture (experience)
- Experience in deployment in Cloud PaaS environments (MS Azure, Amazon AWS or Google Cloud) and Kubernetes based deployment on bare metal (experience)
- Experience with edge tools like Kepware, HighByte Intelligence Hub, Litmus Edge, Ignition by Inductive Automation (experience)
- Exposure to Amazon Quicksight, Amazon SageMaker, Bedrock (experience)
- Experience with AI/ML capabilities, MLOps, LLMs, prompt engineering, RAG, and GenAI orchestration frameworks, intelligent advisory systems (experience)
- Strong grasp of data lakes, streaming platforms (Kafka, Kinesis), and ETL/ELT pipelines (experience)
- Experience in implementing data governance and quality frameworks including metadata management, lineage tracking, privacy-by-design, and GenAI-powered policy automation (experience)
- Experience in collaborating with product engineering, data science, and infrastructure teams to ensure secure, compliant, and performant deployments across cloud and edge environments (experience)
- Experience in leading client workshops, solution blueprinting, and advisory engagements to assess maturity, define roadmaps, and guide transformation initiatives (experience)
- Strong understanding of core architectural concepts including distributed computing, scalability, availability and performance (experience)
- Experience in Requirement Understanding, Design and Development of IoT Solutions (experience)
- Experience in Cloud Computing, SOA, and Web Technologies (experience)
- Experience in frameworks for Middleware development such as Service Bus, Message Queues (experience)
- Hands-on experience with at least one programming language, for example .Net (experience)
Preferred Qualifications
- Understanding of any other leading IoT platforms such as Azure (experience)
Responsibilities
- Design and implement scalable, secure, and efficient Industrial Internet of Things (IIoT) solutions
- Define the overall architecture of IIoT systems, including device connectivity, data flow, cloud integration, data modeling using Unified Namespace (UNS), edge frameworks, Analytics, and Generative AI
- Collaborate with cross-functional teams such as edge engineers, software developers, and data scientists to ensure seamless integration across platforms
- Guide the development lifecycle from concept to deployment
Benefits
- general: Opportunity to work in a global community with more than 300,000 associates
- general: Supportive and inclusive workplace where everyone can thrive
- general: Innovative environment to build a personalized career path
- general: Commitment to taking care of people, clients, company, communities, and climate
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