The ideal candidate has over 8 years of experience, with at least 5 years in a technical leadership role. They must be able to guide cross-functional teams, define test levels and scenarios, and provide support on implementation while maintaining a strategic view of system-wide quality and performance. A strong can-do approach, deep understanding of microservices, and the ability to zoom out and see the big picture are essential for success in this role.
Responsibilities:
Own and evolve the end-to-end test automation and performance strategy for complex distributed systems.
Design and implement scalable automation frameworks for UI, API, and integration testing using modern tools (e.g., Selenium, Cypress, Playwright).
Lead performance testing initiatives using tools like JMeter, k6, Gatling, and identify and troubleshoot system bottlenecks.
Drive integration of automation and performance tests into CI/CD pipelines using GitHub Actions, Jenkins, or equivalent.
Provide hands-on leadership in using AWS services (Lambda, EKS, S3, RDS, API Gateway, etc.) with infrastructure as code via Terraform and deployment automation using Helm.
Collaborate with R&D, DevOps, and QA to align on quality goals and implement them across services and teams.
Define and document test level scenarios (unit, integration, system, performance, chaos) and coach teams on how to adopt them.
Build observability into the testing and performance lifecycle using tools like Grafana, Prometheus, Datadog.
Take ownership of system-wide test coverage, helping teams understand the big picture and ensuring resilience and scalability.
8+ years of experience in software quality, test automation, and performance engineering.
At least 5 years in a technical leadership or staff-level position.
Strong hands-on expertise with AWS services: Lambda, EKS, S3, CloudWatch, RDS, etc.
Proficiency with Terraform, Helm, and Git-based workflows (GitHub Actions).
Experience with microservices, REST APIs, and asynchronous messaging systems in distributed cloud environments.
Proven ability to work across teams, guide implementation, and help define testing levels and approaches.
Expertise in automation tools (Selenium, Cypress, Playwright) and performance testing tools (JMeter, k6, Locust).
Strong coding/scripting background (e.g., Python, JavaScript, or similar).
Experience with observability and APM tools (Datadog, etc.).
Familiarity with chaos testing, failover validation, and resiliency patterns.
Exposure to security/performance hardening of services in production.
Strong leadership and collaboration skills across R&D, DevOps, and QA.
"Can-do" approach, with the ability to solve problems proactively and independently.
Ability to zoom out and see the big picture while owning implementation-level details.
Excellent written and verbal communication.
