Software Development Engineer III, Distributed Cloud
- F5
- 4 - 9 years
- Bengaluru
- 4 months ago
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Job Description
- De sign 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.
- Design and execute test s 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.
- 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.
- 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.
- 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.
Job Classification
Industry: Hardware & NetworkingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Search EngineerEmployement Type: Full timeContact Details:
Company: F5Location(s): Bengaluru
Keyskills: compliance tooling python data pipelines sre qa engineer microservices flink automation java git selenium elasticsearch spark quality assurance regression devops kafka multi-cloud debugging terraform prometheus etl sdlc
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