Lead Software Engineer - AWS

Implement solutions using AWS services, including: IAM (Identity & Access Management) Lambda / serverless compute API Gateway S3, DynamoDB, or RDS

IAM (Identity & Access Management)

Lambda / serverless compute

API Gateway

S3, DynamoDB, or RDS

Leverage AI tools to accelerate development productivity and quality

Apply AI-assisted approaches for: Code generation and refactoring Test case generation and defect analysis Documentation and knowledge sharing

Code generation and refactoring

Test case generation and defect analysis

Documentation and knowledge sharing

Experience with or interest in AI development tools used within the enterprise environment (e.g., Copilot-style tools, internal AI accelerators, or similar platforms)

Contribute to building and integrating AI-enabled capabilities within customer experience platforms (e.g., routing intelligence, automation, insights)

Collaborate with Product Owners and Agile teams to refine user stories and deliver sprint commitments

Participate in Agile ceremonies (planning, stand-ups, retrospectives, demos)

Deliver working, production-ready software each sprint

Develop and maintain automated unit and integration tests

Participate in code reviews and enforce standards

Troubleshoot defects and perform root cause analysis

Ensure adherence to definition of done and quality benchmarks

Hands-on experience with: Amazon Connect (preferred) OR similar platforms (Genesys Cloud, NICE, Five9)

Amazon Connect (preferred)

OR similar platforms (Genesys Cloud, NICE, Five9)

Knowledge of: IVR/contact flows Routing logic and telephony integrations Omni-channel customer experience solutions

IVR/contact flows

Omni-channel customer experience solutions

Hands-on experience with AWS services: IAM (roles, policies, access control) Lambda, API Gateway Data services (DynamoDB, S3, RDS)

IAM (roles, policies, access control)

Lambda, API Gateway

Data services (DynamoDB, S3, RDS)

Experience with: Jenkins AWS CodePipeline (CodeBuild / CodeDeploy preferred)

Jenkins

AWS CodePipeline (CodeBuild / CodeDeploy preferred)

Strong understanding of CI/CD, automation, and version control (Git)

Experience working in Agile (Scrum/Kanban) environments

Familiarity with tools such as: Jira, Rally, or equivalent

Jira, Rally, or equivalent

Strong understanding of iterative delivery and backlog refinement

Delivers high-quality solutions aligned to sprint goals

Demonstrates ownership from design through production support

Actively adopts and champions AI-first development practices

Team player who will step into any gap to create momentum, and challenge/advance team capability and engagement

Contributes to engineering innovation, speed, and quality

Balances delivery velocity with long-term architectural integrity

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