QA Automation Lead/Architect with Kafka, AWS experience

QA Automation Lead/Architect with Kafka, AWS experience 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., 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., Job Title: QA Automation Lead / Engineer Work Location & Reporting Address: New York, NY 10003 (Onsite-Hybrid. Candidates willing to relocate to client’s location with be consider…
• 14 hours ago

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