Staff Test Automation Engineer

The core responsibilities for the job include the following:

Test Automation Strategy:

• Design and own the overall test automation framework and strategy.
• Define and enforce testing best practices across unit, integration, contract, and end-to-end testing.
• Drive architecture decisions for automation frameworks, CI/CD pipelines, and test observability.
• Establish standards for test data management, environment consistency, and test reliability.
• Lead performance testing initiatives, including load, stress, spike, and soak testing.
• Define performance baselines, service-level objectives (SLOs), and regression gates.
• Build scalable performance testing frameworks using tools such as Locust, k6 or equivalent.
• Analyze application performance using profiling and observability tools to identify bottlenecks.

Technical Leadership:

• Champion quality engineering practices across engineering teams.
• Mentor engineers on automation frameworks, testing strategies, and code quality.
• Partner with product managers to define acceptance criteria and quality gates.
• Drive root cause analysis for production defects and implement preventive quality measures.

Requirements:

• 8+ years of experience in software quality engineering with strong expertise in test automation.
• Proven experience defining and leading automation strategies for distributed systems.
• Expert-level proficiency in Python for automation development.
• Hands-on experience with Playwright for end-to-end web automation.
• Strong understanding of FastAPI and Django for API and backend testing.
• Extensive experience with performance testing methodologies (load, stress, soak, spike testing).
• Experience testing cloud-native applications on AWS, GCP, or Azure.
• Hands-on experience with Kubernetes, event-driven systems, and cloud services.
• Familiarity with observability tools such as Prometheus, Grafana, OpenTelemetry, or similar.
• Strong knowledge of CI/CD pipelines and automated quality gates.
• Excellent communication, stakeholder management, and technical leadership skills.

Preferred Skills:

• Experience working on large-scale distributed systems.
• Strong understanding of cloud-native architectures.
• Experience mentoring engineers and driving engineering best practices.