Experience in large-scale cloud or contact center transformations
Skills
Python
AWS
Amazon Connect
Amazon Flow builder
Lambda
Dynamo
API Gateway
S3
DynamoDB
RDS
Jenkins
AWS CodePipeline
Git
Kafka
SNS
SQS
CloudWatch
Splunk
Terraform
CloudFormation
IND Staff Software Engineer - GCC011
About the company
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
Role Summary
We are seeking a highly skilled Agile Software Engineer for our Contact Center teams with expertise in AWS cloud services, CI/CD automation, and modern contact center platforms. This role will design, build, and support scalable solutions within a cloud-based, omni-channel customer experience platform (e.g., Amazon Connect).
The ideal candidate combines strong hands-on engineering experience (Python, DevOps, cloud-native architectures) with experience in contact center technologies (Amazon Connect, Genesys Cloud, NICE, or Five9). We have a strong AI-first engineering mindset and are seeking engineers experienced with — or eager to adopt — AI-driven development practices and tooling.
Key Responsibilities
Software Engineering & Development
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Develop, test, and maintain Contact Center solutions within Amazon Connect with Amazon Flow builder, Lambda, and Dynamo
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Support:
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IVR/contact flow development
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Routing logic and telephony integrations
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Voice, chat, and email channel capabilities
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Contribute to contact center migration and modernization efforts
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Design integrations across contact center platforms and enterprise systems
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Build and maintain APIs, microservices, and serverless solutions
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Ensure solutions meet performance, scalability, and security standards
AWS & Cloud Engineering
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Implement solutions using AWS services, including:
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IAM (Identity & Access Management)
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Lambda / serverless compute
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API Gateway
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S3, DynamoDB, or RDS
AI-First Engineering (Preferred)
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Leverage AI tools to accelerate development productivity and quality
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Apply AI-assisted approaches for:
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Code generation and refactoring
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Test case generation and defect analysis
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Documentation and knowledge sharing
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Experience with or interest in AI development tools used within the enterprise environment (e.g., Copilot-style tools, internal AI accelerators, or similar platforms)
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Contribute to building and integrating AI-enabled capabilities within customer experience platforms (e.g., routing intelligence, automation, insights)
Agile Delivery
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Collaborate with Product Owners and Agile teams to refine user stories and deliver sprint commitments
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Participate in Agile ceremonies (planning, stand-ups, retrospectives, demos)
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Deliver working, production-ready software each sprint
Quality & Engineering Excellence
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Develop and maintain automated unit and integration tests
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Participate in code reviews and enforce standards
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Troubleshoot defects and perform root cause analysis
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Ensure adherence to definition of done and quality benchmarks