Dieses Stellenangebot ist nicht mehr verfügbar
Über
Job Summary We are looking for a highly skilled Data / Performance Engineer with strong expertise in performance testing, data systems, and storage validation (QA). The ideal candidate will have hands-on experience in benchmarking, performance tuning, and validating large-scale storage systems and distributed data platforms.
Key Responsibilities Design and execute performance, load, stress, and endurance tests for data platforms and storage systems Validate storage systems (SAN, NAS, Object Storage) for reliability, scalability, and performance Develop and maintain automated performance testing frameworks Analyze system bottlenecks across compute, memory, disk I/O, and network layers Work with engineering teams to optimize data pipelines, databases, and storage architectures Perform benchmarking of distributed systems like Hadoop, Spark, Kafka Create detailed performance reports and provide actionable insights Collaborate with DevOps and SRE teams for capacity planning and system tuning Ensure data integrity and consistency under high-load scenarios
Required Skills Performance Engineering Experience with tools like JMeter, LoadRunner, Gatling, Locust Strong understanding of performance testing methodologies Storage QA / Validation Hands-on experience testing: SAN / NAS / Object Storage (e.g., S3-compatible systems) Knowledge of: File systems (NFS, SMB, EXT4, XFS) Disk performance tools (FIO, IOMeter) Experience validating: Throughput, latency, IOPS Data Engineering / Big Data Experience with: Hadoop ecosystem (Hive, Spark, HDFS) Streaming systems (Kafka) Strong SQL and data validation skills Cloud & DevOps Experience with cloud platforms: AWS / Azure / GCP Familiarity with: Kubernetes, Docker CI/CD pipelines Programming / Scripting Proficiency in: Python / Java / Shell scripting
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.