Principal QA Engineer leading quality strategy for F5's cloud data platform. Key responsibilities include testing and automating data processes, mentoring junior engineers.
Responsibilities
Design QA strategies for data streaming, storage, and observability services
Partner with Engineering, Product, SRE, and Platform teams to embed quality and reliability throughout the SDLC
Build automation framework for data validation, regression, and integration testing
Extend automation to handle real-time data streams, schema evolution, workflows, and data consistency checks
Design and execute tests for streaming platforms, ETL pipelines, and data storage systems
Develop tools to validate ingestion, transformation, and query accuracy
Automate validation of logs, metrics, and traces for correctness & completeness
Validate telemetry and SaaS usage pipelines
Simulate failure and recovery scenarios for distributed systems
Establish performance and load testing frameworks
Mentor junior QA engineers and promote best practices in test automation and quality assurance
Requirements
10+ years of experience in Quality Assurance, with at least 7 years focused on automation
Strong background testing data-intensive or observability systems
Proficiency coding/scripting skills in Python, Go, or Java for automation and tooling
Experience with automation frameworks
Expertise in performance testing tools and benchmarking distributed systems
Expertise in streaming data validation, schema, and event-driven architectures
Familiar with cloud-native architectures, CI/CD pipelines, version control (Git), and DevOps practices
Excellent analytical, debugging, and communication skills
Experience leading QA strategy in SaaS, observability, or analytics platforms
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