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Senior QA Engineer

AI Summary
Caylent is seeking a Senior QA Engineer to validate Amazon Connect contact-center implementations, migrations, and AI-driven conversational experiences. The role combines manual and automated quality engineering across web applications, APIs, IVR call flows, and serverless AWS services. The engineer will support production cutovers, observability validation, incident triage, UAT, and security checks while partnering closely with engineers and customer stakeholders. Candidates need substantial QA experience, including contact-center or voice-platform testing, test automation, AWS serverless systems, and CI/CD integration. This is a fully remote Mexico-based role focused on high-impact customer delivery and quality-practice mentorship.
Remote from
Mexico
Salary
Undisclosed
Department
QA & Testing
Employment
Full Time
Experience
Senior
Published
Apply before
12 Dec 2026
Listing views
31
Application actions
3
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Opportunity details

About this role.

Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production.

Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. At Caylent, our people always come first.

We are a fully remote global company with employees in Canada, the United States and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

The Mission

This role is a Senior QA/Test Engineer specializing in Amazon Connect and contact center technology, responsible for designing and executing comprehensive test strategies across contact flows, routing, IVR/self-service, and AI-driven conversational agents. They validate legacy-to-Connect migrations, build and maintain manual and automated test suites (Playwright, Cypress, Selenium) spanning UI, API, and serverless backend components, and ensure production readiness through cutover validation, monitoring verification, and incident triage. Beyond hands-on testing, they partner with engineers to shift quality left, run UAT sessions with customer stakeholders, and contribute reusable test assets and mentorship to strengthen Caylent’s contact center QA practice.

Your Assignment

Test Strategy & Contact Center Quality

  • Design and execute test strategies for Amazon Connect implementations covering contact flows, routing logic, IVR/self-service, Cases/Tasks workflows, and Contact Lens configurations
  • Build test plans that validate AI agent behavior: intent recognition accuracy, escalation paths, barge-in/fallback handling, hallucination guardrails, and multilingual/SSML voice interactions
  • Validate legacy-to-Connect migrations (i.e. Avaya, Genesys, Connect, NICE) through parallel-run testing, flow conversion verification, and data migration validation
  • Define and track quality metrics (defect density, test coverage, escape rate) and report on release readiness to delivery leads and customer stakeholders
  • Hands-on experience with web application and web automation testing

Manual, Automated & Full-Stack Testing

  • Build, maintain, and execute manual and automated IVR test suites, using tools such as Cyara, Hammer, or Botium (preferred).
  • Build, maintain, and execute manual and automated web application test suites, using frameworks such as Cypress, Selenium, or Playwright (preferred).
  • Build and maintain manual and automated test suites: Playwright E2E and API tests, Cypress, Selenium, integration tests against live Amazon Connect instances, and end-to-end tests of Amazon connect call flows.
  • Test custom Agent Workspace experiences (Amazon Connect, Agent Assist)
  • Validate serverless, event-driven backends (Lambda, EventBridge, Step Functions, SQS/SNS, DynamoDB, Kinesis) with integration and contract tests

Production Readiness & Operations

  • Execute phased rollout and cutover validation for live contact centers, where testing gaps translate directly into missed calls and customer impact
  • Verify monitoring and alerting coverage (CloudWatch metrics, alarms, dashboards) across voice, chat, tasks, queues, agents, Lambda, and AI agents prior to go-live
  • Participate in production incident triage, reproducing defects and validating fixes across the contact center stack
  • Perform security and compliance validation: least-privilege IAM checks, DevSecOps scan review, and encryption standard verification

Collaboration & Practice Contribution

  • Partner with engineers during development to shift testing left: pairing on test design, reviewing acceptance criteria, and flagging risk areas early
  • Run UAT sessions with customer stakeholders, triage findings, and drive defects to resolution ahead of production cutovers
  • Contribute reusable test assets (automated suites, test data sets, QA checklists) back to the CXE practice
  • Mentor junior QA engineers on contact center testing patterns and Caylent’s quality standards

Your Qualifications

  • 8+ years of QA/test engineering experience, including 3+ years testing contact center, CCaaS, or IVR/voice platforms
  • Hands-on experience with Amazon Connect or a comparable CCaaS platform: contact flows, routing, Cases/Tasks, and reporting
  • Proficiency with automated testing frameworks (Playwright E2E and API tests, Cypress, Selenium) for unit, integration, and E2E testing
  • Experience testing serverless/event-driven AWS architectures (Lambda, API Gateway, DynamoDB, Step Functions)
  • Working knowledge of conversational AI / voice testing considerations: intent accuracy, latency, fallback behavior
  • Strong defect documentation and triage skills; comfortable running UAT sessions with business and technical stakeholders
  • Familiarity with CI/CD pipelines (GitHub Actions) and integrating automated tests into deployment workflows

Preferred Qualifications

  • Contact center migration testing experience (i.e. Avaya, Genesys, Connect, NICE)
  • Experience with AI observability/trace validation (agent spans, token/cost attribution) or accessibility engineering
  • AWS certifications (Solutions Architect, Developer, or ML/Connect-relevant Specialty)
  • Contact center operations fluency: Quality management, outbound compliance, and CX KPIs
  • Consulting or client-delivery background
  • Hands on experience with Cyara Botium

Benefits

  • 100% remote work
  • Medical Insurance for you and eligible dependents
  • Generous holidays and flexible PTO
  • Competitive phantom equity
  • Paid for exams and certifications
  • Peer bonus awards
  • State of the art laptop and tools
  • Equipment & Office Stipend
  • Individual professional development plan
  • Annual stipend for Learning and Development
  • Work with an amazing worldwide team and in an incredible corporate culture

NOTE: This position requires current legal authorization to work in the country where this position is located. Caylent is not able to sponsor visa or work permit applications at this time.

At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.
These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals.
If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.
If you have any questions, please contact talent@caylent.com

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe position requires deep senior-level QA expertise across contact-center systems, voice/IVR flows, AI agents, web automation, and AWS serverless architecture. Production cutovers and customer-facing UAT create a high-impact environment where quality gaps can directly affect live customer operations.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$85,000
US market range (per year)$70k–$105k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base salary was disclosed. The annual period is inferred from the senior full-time professional role. Estimated market compensation is shown in USD as an AI-generated annual estimate, not verified employer compensation.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a test strategy for an Amazon Connect contact-flow migration from a legacy platform?

I would begin by mapping each legacy call path, routing rule, prompt, integration, and failure scenario to its Amazon Connect equivalent. I would create risk-based test cases for normal, peak-load, fallback, transfer, authentication, and escalation flows, then run parallel validation against the legacy and new systems. Before cutover, I would verify monitoring, queue metrics, alarms, rollback procedures, and production acceptance criteria with stakeholders.

How do you test conversational AI agents used in a contact center?

I build test datasets covering core intents, ambiguous utterances, out-of-scope requests, multilingual interactions, interruptions, handoffs, and unsafe prompts. I measure intent recognition, response latency, fallback behavior, escalation accuracy, and adherence to guardrails. I also use repeatable automated tests where possible and retain representative call or chat traces for defect analysis and regression coverage.

What is your approach to integrating automated tests into a CI/CD pipeline?

I organize tests by execution speed and risk, such as unit, API, integration, smoke, and end-to-end suites. Fast tests run on pull requests, while environment-dependent integration and end-to-end tests run after deployment to controlled environments. I publish clear reports, screenshots or traces for failures, and enforce quality gates that balance release speed with reliable defect detection.

How would you validate an event-driven AWS backend supporting a contact-center solution?

I would validate each service contract and event payload across components such as Lambda, EventBridge, Step Functions, SQS/SNS, DynamoDB, and API Gateway. Testing would include successful processing, retries, duplicate events, malformed payloads, timeout behavior, dead-letter queues, permissions, and observability. I would also verify that CloudWatch logs, metrics, alarms, and correlation identifiers enable rapid diagnosis in production.

How do you facilitate effective UAT with customer stakeholders?

I align UAT scenarios to agreed business outcomes, acceptance criteria, and real user workflows before the sessions begin. During testing, I document findings with reproducible steps, expected and actual results, impact, evidence, and priority. I maintain a transparent defect triage process, confirm retest outcomes with stakeholders, and communicate residual risks clearly before release approval.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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