Software Development Engineer III, Distributed Cloud Data Platform QA
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Job Location:
Monthly Salary:
Posted on:
21 hours ago
Vacancies:
1 Vacancy
Job Summary
At F5 we strive to bring a better digital world to life. Our teams empower organizations across the globe to create secure and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers and their customers better. And it means we prioritize a diverse F5 community where each individual can thrive.
Position Summary
We are looking for a QA Engineer III with expertise in data systems observability and automation to join our Distributed Cloud Data Platform team for next-generation data infrastructure that serves mission-critical workloads across our SaaS platform.
This is a hands-on technical role where you will design test frameworks conduct data validation performance benchmarking and ensure reliability automation and test best practices for large-scale distributed data systems throughout the development lifecycle.
Key Responsibilities
Quality Strategy & Automation Framework
Design QA test 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.
Data Systems & Observability Testing
Design and execute tests for streaming platforms (e.g. Kafka) ETL pipelines and data storage systems (ClickHouse ElasticSearch Iceberg S3).
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 (e.g. Prometheus OpenTelemetry).
Simulate failure and recovery scenarios for distributed systems.
Ensure system instrumentation for high coverage automated observability testing.
Cloud Infrastructure Quality & Performance
Validate deployments across multi-cloud and K8s native data clusters.
Implement chaos and resilience testing for data system components.
Collaborate with SRE/Ops to ensure test environments are production-parity.
Establish performance and load testing frameworks for streaming (e.g. Kafka topics/partitions) ingestion of APIs and warehouse/Data lake (e.g. ClickHouse queries).
Build synthetic data generators and benchmarking tools for large-scale test datasets.
Analyze bottlenecks and help optimize system throughput and latency.
Perform performance scalability and reliability testing to ensure our data platform can handle global-scale workloads.
QA Best Practice & Mentorship
Integrate test frameworks into CI/CD pipelines validate complex distributed systems across multi-cloud environments.
Identify document and track defects through resolution.
Create and maintain test plans test cases and documentation.
Participate in design and code reviews to ensure quality is built into every stage of development.
Investigate production issues and contribute to root cause analysis and remediation strategies.
Required Skills & Experience
5 years of experience in Quality Assurance with at least 4 years focused on automation with Computer Science or equivalent practical experience.
Strong background testing data-intensive or observability systems (e.g. Kafka Flink Spark ClickHouse ElasticSearch Prometheus OpenTelemetry).
Proficiency coding/scripting skills in Python Go or Java for automation and tooling.
Experience with automation frameworks (e.g. Selenium or similar).
Expertise in performance testing tools (e.g. Locust Gatling k6 JMeter) and benchmarking distributed systems.
Familiarity with compliance validation in data pipelines (e.g. PII masking).
Familiar with cloud-native architectures (K8s Terraform Helm CI/CD pipelines).
Experience testing in cloud distributed systems microservices and APIs.
Familiarity with CI/CD pipelines version control (Git) and DevOps practices.
Excellent analytical debugging and communication skills.
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However the description may not be all-inclusive and responsibilities and requirements are subject to change.
Please note that F5 only contacts candidates through F5 email address (ending with @) or auto email notification from Workday (ending with or @).
Equal Employment Opportunity
It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race religion color national origin sex sexual orientation gender identity or expression age sensory physical or mental disability marital status veteran or military status genetic information or any other classification protected by applicable local state or federal laws. This policy applies to all aspects of employment including but not limited to hiring job assignment compensation promotion benefits training discipline and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting .
Key Skills
- Account Payable
- Apache Commons
- Community Support
- Corporate Risk Management
- Garment
- Java
About Company
F5 application services ensure that applications are always secure and perform the way they should—in any environment and on any device.
