caylent
Senior CXE Engineer
At a Glance
- Location
- Canada
- Experience
- 7+ years
- Posted
- 2026-07-23T14:51:07-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
- Finance
- Government
- Healthcare
- Regulatory
Benefits & Perks
contribution) Unlimited Vacations Sick Leave Paid Holidays Par
Requirements
7+ years of hands-on software engineering experience, including 2+ years building on Amazon Connect or comparable CCaaS platforms at enterprise scale
Strong, current Amazon Connect skills: contact flows, routing, Cases and Tasks, Contact Lens, Customer Profiles, Streams API, and the Connect data/analytics stack
Hands-on experience with conversational and generative AI, Amazon Lex plus LLM- based development (Amazon Bedrock, Q in Connect, or equivalent), including prompt engineering and tool calling
Strong TypeScript/Node.js and Python; production React experience; solid AWS serverless engineering (Lambda, EventBridge, API Gateway, DynamoDB, Step Functions, Kinesis)
Infrastructure as code proficiency with AWS CDK or Terraform, including multi- account deployment patterns
Experience shipping and supporting production systems, testing discipline, observability instrumentation, and incident debugging across the full stack
Compensation & Benefits
100% remote work
Equitable Life - Hybrid Plan
100% Premium Coverage for the employee and dependents
4% Pension match (employer contribution)
Unlimited Vacations
Sick Leave
About the Company
As a Senior CXE Engineer, you are a hands-on builder on enterprise contact center transformations. You will spend the majority of your time in code and in the AWS console: building contact flows and AI agents, writing Lambda functions and CDK stacks, developing React-based agent and admin tooling, and debugging production issues on systems that serve tens of thousands of agents and millions of customer interactions. You work within architectures set by practice leads, and you’re expected to pressure-test them, propose better patterns, and own the implementation quality of your workstream from first commit through production cutover. This role blends deep Amazon Connect platform engineering, generative AI development on Bedrock and Claude, and full-stack serverless work, with regular direct interaction with customer engineering teams.