caylent

Senior CXE Engineer

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At a Glance

Location
Canada
Experience
7+ years
Posted
2026-07-23T14:51:07-04:00

Key Requirements

Required Skills

AWSNode.jsOraclePythonReactSalesforceTerraformTypeScript

Domain Knowledge

  • Automation
  • Engineering
  • Finance
  • Government
  • Healthcare
  • Regulatory

Benefits & Perks

Time Off

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.