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Niche Amazon Connect and Salesforce Service Cloud skills, but known employer and mid-level seniority raise competition.
High — role requires Amazon Connect and Salesforce Service Cloud Voice domain expertise limiting cross-industry transferability.
High due to explicit 5–12 years requirement and mandatory Amazon Connect, Salesforce SCV, AWS, and GenAI technical stack.
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Design and implement integrations between Amazon Connect, Salesforce Service Cloud Voice, and other enterprise systems using AWS services and APIs.
Build and maintain serverless architectures and custom solutions ensuring data consistency, system reliability, and scalability.
Develop and integrate AI-powered applications including chatbots and GenAI models aligned with enterprise and regulatory standards.
5 to 12 years of experience in system integration involving Amazon Connect, Salesforce Service Cloud, Verint, Cerner, Marketing Cloud, and AWS services.
Expertise in AWS cloud services with hands-on experience in serverless architectures using Lambda, API Gateway, S3, SQS, SNS, and DynamoDB.
Proficiency in programming languages such as Python, JavaScript, or Java relevant to integration development.
Experience designing and building GenAI solutions using platforms like Amazon Bedrock, with knowledge of foundation models (Anthropic Claude, Titan) and prompt engineering.
Experienced in designing scalable and secure cloud integrations within large enterprise environments involving multiple complex systems.
Technically skilled in AWS serverless architecture and API-driven integration solutions with a strong emphasis on data integrity and performance optimization.
Advanced understanding of GenAI model integration, responsible AI practices, and building AI-powered business applications aligned with enterprise standards.