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Tier-1 brand, common senior engineer title, mid-level experience and broad AWS/GenAI skills increase competition.
Requires Amazon Connect and contact-center experience alongside AWS/GenAI, making cross-industry fit moderately constrained.
Explicit 5+ years plus mandatory AWS/GenAI and Amazon Connect/backend stack tightens shortlisting.
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Develop scalable backend solutions specifically for Amazon Connect digital channels including chat, SMS, email, and WhatsApp.
Implement GenAI-driven features using AWS services such as Amazon Bedrock, Lex, and SageMaker to improve customer and agent experience.
Build and maintain backend services and orchestration workflows with Python, AWS Lambda, Step Functions, and API Gateway; also develop reusable frameworks for digital migration from other platforms.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Minimum 5 years of software engineering experience with strong backend development expertise in Python.
Proven hands-on experience in building GenAI or ML-powered applications using AWS or open-source frameworks.
Experience with AWS services including Amazon Connect, Lambda, Step Functions, Bedrock, Lex, S3, plus CI/CD pipelines, infrastructure as code, and monitoring tools required.
Experienced software engineer with a deep focus on backend development for omni-channel digital customer engagement platforms.
Skilled in integrating and deploying advanced AWS cloud services for scalable, production-grade applications in agile, fast-paced environments.
Demonstrates ability to collaborate with cross-functional teams including product managers and solution architects to deliver impactful technology solutions.