Lead the design and implementation of automation frameworks for the product both functional and non-functional. Products that consist of infrastructure (SaaS and StaaS Technologies).
Responsibilities:
Work closely with the product teams to certify for functionality, security, compatibility, scalability, and performance.
To deliver automation framework designs, performance testing/tuning and automate test data solutions for functional and non-functional area
Define, develop, and enforce automation testing standards and best practices
Provide thought leadership and actively drive teams to ensure the advancement of both automation tasks and tooling.
Responsible for developing a continuous improvement mindset in team and project interactions.
Qualifications:
Bachelor's degree in engineering
Required skills:
10+ years of experience in software Testing/Automation.
Deep understanding of different test automation approaches (keyword-driven, Data-driven, BDD, hybrid)
Experience with one or more technology stacks Java, JavaScript, Python, Bash scripting, and Linux.
Understanding of various automation frameworks for UI, REST Services, Asynchronous Stream Processing Services, Performance and Container Services (Kubernetes/ docker) along with the integration with a CI/CD execution platform
Experienced in testing enterprise applications for scale, performance, observability, and reliability with tools like JMeter and APM tools like Grafana, Elastic or similar
Proven experience in design and implementation of automation frameworks that meet the high standards of technology best practices, quality, compliance, and reliability
Demonstrable understanding and/or working knowledge of Continuous Integration (CI), Continuous Delivery (CD) and DevOps with Jenkins or similar
Experience with cloud providers such as AWS or Azure or GCP
Excellent Team player and ability to work and lead teams in fast paced dynamic environment
Desirable skills:
Experience with cloud-based products/services
Knowledge of bash scripting
Knowledge of any Cloud Platforms (example-Google Cloud, Azure)
Knowledge on Kubernetes/Docker
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