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QA Automation Lead/Architect with Kafka, AWS

Momento USA

 

Dallas, TX, USA

Posted On: 7 days ago
Experience: 8+ years
Availability: Onsite
Openings: 1
Category: QA Automation Lead
Tenure: No Preference/Any
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Description

We are seeking a highly experienced QA Automation Architect with strong expertise to define and drive enterprise-wide quality engineering, test automation, reliability, observability, and performance engineering strategies. The ideal candidate will lead the architecture and implementation of scalable automation frameworks, reliability engineering practices, CI/CD quality gates, and cloud-native testing solutions to ensure high availability, resilience, and product quality.

 

KEY RESPONSIBILITIES

Quality Engineering & Test Architecture

  • Define enterprise QA strategy, standards, and testing best practices.
  • Design scalable automation frameworks for web, API, mobile, microservices, and cloud-native applications.
  • Establish quality gates throughout the SDLC and CI/CD pipelines.
  • Drive shift-left and shift-right testing practices.
  • Develop and govern test automation architecture across multiple product teams.

Automation Framework Development

  • Architect and implement automation solutions using Selenium, Playwright, Cypress, Appium, Rest Assured, and other modern testing tools.
  • Establish reusable automation frameworks and libraries.
  • Develop API, integration, end-to-end, regression, and data validation automation.
  • Drive test data management and environment management strategies.

Site Reliability Engineering (SRE)

  • Define Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets.
  • Establish reliability engineering practices across development and operations teams.
  • Drive production monitoring, incident response, and root cause analysis.
  • Improve system resilience, scalability, and fault tolerance.
  • Lead chaos engineering and resilience testing initiatives.
  • Define operational readiness criteria for releases.

Performance & Reliability Engineering

  • Design and implement performance, load, stress, endurance, and scalability testing strategies.
  • Establish capacity planning and performance benchmarking frameworks.
  • Monitor application performance and optimise system reliability.
  • Identify bottlenecks and drive performance improvements across platforms.

DevOps & CI/CD Integration

  • Integrate automation suites into CI/CD pipelines.
  • Implement continuous testing across development, testing, and production environments.
  • Collaborate with DevOps teams to improve deployment reliability.
  • Ensure automated quality gates before production deployments.

Observability & Monitoring

  • Implement enterprise observability solutions using monitoring and logging platforms.
  • Establish dashboards, alerting mechanisms, and operational metrics.
  • Drive proactive issue detection and resolution.
  • Collaborate with engineering teams to improve application telemetry and diagnostics.

Technical Leadership

  • Mentor QA engineers, SDETs, Automation Leads, and SRE teams.
  • Conduct architecture reviews and establish testing governance.
  • Drive adoption of engineering excellence and quality-first culture.
  • Collaborate with architects, product owners, delivery managers, and engineering leadership.

 

Required Skills

  • Test Automation
  • Selenium WebDriver
  • Playwright
  • Cypress
  • Appium
  • Rest Assured
  • Karate Framework
  • TestNG / Junit

 

Programming Languages

  • Java
  • Python
  • JavaScript / TypeScript
  • SQL
  • SRE & Reliability Engineering
  • SLI / SLO Definition
  • Error Budget Management
  • Incident Management
  • RCA (Root Cause Analysis)
  • Capacity Planning
  • Chaos Engineering
  • Reliability Engineering Practices

Cloud Platforms

  • AWS
  • Azure
  • Google Cloud Platform (GCP)

DevOps & CI/CD

  • Jenkins
  • GitHub Actions
  • GitLab CI/CD
  • Azure DevOps
  • ArgoCD

Observability Tools

  • Prometheus
  • Grafana
  • ELK Stack
  • Datadog
  • Splunk
  • New Relic
  • Dynatrace

Performance Testing

  • JMeter
  • Gatling
  • LoadRunner
  • K6

Container & Orchestration

  • Docker

Kubernetes

  • OpenShift

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field


 

Education

Any Graduate

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