Chatbot Developer
Capgemini
Chatbot Developer
Job Description
Chatbot Developer
📋 Job Overview
The Chatbot Developer role at Capgemini involves designing, developing, and testing chatbot solutions using AWS Lex, Python, and related AWS services. The position requires collaboration with stakeholders and architects to deliver high-quality, innovative results while adhering to best engineering practices. This role offers opportunities to work on cutting-edge technologies and contribute to sustainable business transformations.
📍 Location: Chennai (ex Madras)
💼 Experience Level: Experienced Professionals
🏢 Business Unit: I and D Global Business Line
🎯 Key Responsibilities
- Design, development and testing of chatbot solutions leveraging AWS Lex, Python, AWS Lambda, and AWS DynamoDB
- Experience in building conversation flow & CCAI/Google Dialogflow
- Collaborate with technical analyst / solution architects to assist with solution design
- Take ownership and accountability beyond individual deliverables, always pushing the envelope in order to deliver awesome results for our Business stakeholders
- Follow and promote best engineering practices like clean reusable code, Continuous Integration (CI), Test-Driven Development (TDD), Infrastructure as Code etc.
- Provide technical software support, including investigation and qualification of bugs, interpreting procedure manuals, and maintaining accurate documentation
✅ Required Qualifications
- Experience of 5+ years in designing, developing, and deploying solutions on AWS Lex/Connect/CCAI/Google Dialogflow
- Experience in collaborating with stakeholders to gather requirements and translate them into technical specifications
- Experience in building custom applications, integrations, and data pipelines using Salesforce Data Cloud tools and technologies
- Experience in developing and optimizing data models to support business processes and reporting needs
- Experience in implementing data governance and security best practices to ensure data integrity and compliance
🛠️ Required Skills
- AWS Lex
- Python
- AWS Lambda
- AWS DynamoDB
- CCAI
- Google Dialogflow
- Clean reusable code
- Continuous Integration (CI)
- Test-Driven Development (TDD)
- Infrastructure as Code
- Salesforce Data Cloud tools and technologies
- Data modeling
- Data governance
- Data security best practices
🎁 Benefits & Perks
- Range of career paths and internal opportunities within Capgemini group
- Personalized career guidance from leaders
- Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- Opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications
Locations
- Chennai (ex Madras), India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AWS Lexintermediate
- Pythonintermediate
- AWS Lambdaintermediate
- AWS DynamoDBintermediate
- CCAIintermediate
- Google Dialogflowintermediate
- Clean reusable codeintermediate
- Continuous Integration (CI)intermediate
- Test-Driven Development (TDD)intermediate
- Infrastructure as Codeintermediate
- Salesforce Data Cloud tools and technologiesintermediate
- Data modelingintermediate
- Data governanceintermediate
- Data security best practicesintermediate
Required Qualifications
- Experience of 5+ years in designing, developing, and deploying solutions on AWS Lex/Connect/CCAI/Google Dialogflow (experience)
- Experience in collaborating with stakeholders to gather requirements and translate them into technical specifications (experience)
- Experience in building custom applications, integrations, and data pipelines using Salesforce Data Cloud tools and technologies (experience)
- Experience in developing and optimizing data models to support business processes and reporting needs (experience)
- Experience in implementing data governance and security best practices to ensure data integrity and compliance (experience)
Responsibilities
- Design, development and testing of chatbot solutions leveraging AWS Lex, Python, AWS Lambda, and AWS DynamoDB
- Experience in building conversation flow & CCAI/Google Dialogflow
- Collaborate with technical analyst / solution architects to assist with solution design
- Take ownership and accountability beyond individual deliverables, always pushing the envelope in order to deliver awesome results for our Business stakeholders
- Follow and promote best engineering practices like clean reusable code, Continuous Integration (CI), Test-Driven Development (TDD), Infrastructure as Code etc.
- Provide technical software support, including investigation and qualification of bugs, interpreting procedure manuals, and maintaining accurate documentation
Benefits
- general: Range of career paths and internal opportunities within Capgemini group
- general: Personalized career guidance from leaders
- general: Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- general: Opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications
Tags & Categories
Chatbot Developer
Capgemini
Chatbot Developer
Job Description
Chatbot Developer
📋 Job Overview
The Chatbot Developer role at Capgemini involves designing, developing, and testing chatbot solutions using AWS Lex, Python, and related AWS services. The position requires collaboration with stakeholders and architects to deliver high-quality, innovative results while adhering to best engineering practices. This role offers opportunities to work on cutting-edge technologies and contribute to sustainable business transformations.
📍 Location: Chennai (ex Madras)
💼 Experience Level: Experienced Professionals
🏢 Business Unit: I and D Global Business Line
🎯 Key Responsibilities
- Design, development and testing of chatbot solutions leveraging AWS Lex, Python, AWS Lambda, and AWS DynamoDB
- Experience in building conversation flow & CCAI/Google Dialogflow
- Collaborate with technical analyst / solution architects to assist with solution design
- Take ownership and accountability beyond individual deliverables, always pushing the envelope in order to deliver awesome results for our Business stakeholders
- Follow and promote best engineering practices like clean reusable code, Continuous Integration (CI), Test-Driven Development (TDD), Infrastructure as Code etc.
- Provide technical software support, including investigation and qualification of bugs, interpreting procedure manuals, and maintaining accurate documentation
✅ Required Qualifications
- Experience of 5+ years in designing, developing, and deploying solutions on AWS Lex/Connect/CCAI/Google Dialogflow
- Experience in collaborating with stakeholders to gather requirements and translate them into technical specifications
- Experience in building custom applications, integrations, and data pipelines using Salesforce Data Cloud tools and technologies
- Experience in developing and optimizing data models to support business processes and reporting needs
- Experience in implementing data governance and security best practices to ensure data integrity and compliance
🛠️ Required Skills
- AWS Lex
- Python
- AWS Lambda
- AWS DynamoDB
- CCAI
- Google Dialogflow
- Clean reusable code
- Continuous Integration (CI)
- Test-Driven Development (TDD)
- Infrastructure as Code
- Salesforce Data Cloud tools and technologies
- Data modeling
- Data governance
- Data security best practices
🎁 Benefits & Perks
- Range of career paths and internal opportunities within Capgemini group
- Personalized career guidance from leaders
- Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- Opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications
Locations
- Chennai (ex Madras), India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AWS Lexintermediate
- Pythonintermediate
- AWS Lambdaintermediate
- AWS DynamoDBintermediate
- CCAIintermediate
- Google Dialogflowintermediate
- Clean reusable codeintermediate
- Continuous Integration (CI)intermediate
- Test-Driven Development (TDD)intermediate
- Infrastructure as Codeintermediate
- Salesforce Data Cloud tools and technologiesintermediate
- Data modelingintermediate
- Data governanceintermediate
- Data security best practicesintermediate
Required Qualifications
- Experience of 5+ years in designing, developing, and deploying solutions on AWS Lex/Connect/CCAI/Google Dialogflow (experience)
- Experience in collaborating with stakeholders to gather requirements and translate them into technical specifications (experience)
- Experience in building custom applications, integrations, and data pipelines using Salesforce Data Cloud tools and technologies (experience)
- Experience in developing and optimizing data models to support business processes and reporting needs (experience)
- Experience in implementing data governance and security best practices to ensure data integrity and compliance (experience)
Responsibilities
- Design, development and testing of chatbot solutions leveraging AWS Lex, Python, AWS Lambda, and AWS DynamoDB
- Experience in building conversation flow & CCAI/Google Dialogflow
- Collaborate with technical analyst / solution architects to assist with solution design
- Take ownership and accountability beyond individual deliverables, always pushing the envelope in order to deliver awesome results for our Business stakeholders
- Follow and promote best engineering practices like clean reusable code, Continuous Integration (CI), Test-Driven Development (TDD), Infrastructure as Code etc.
- Provide technical software support, including investigation and qualification of bugs, interpreting procedure manuals, and maintaining accurate documentation
Benefits
- general: Range of career paths and internal opportunities within Capgemini group
- general: Personalized career guidance from leaders
- general: Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and new parent support via flexible work
- general: Opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications
Tags & Categories