About the role
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.