Key skills
Performance testingDistributed systemsTest automationJava/C++/Golang/PythonPerformance analysis toolsKubernetesCloud infrastructureHadoop ecosystemPerformance theoryBenchmark designData privacy complianceCommunication skillsCollaboration mindsetPythonJavaC++CGolangSQLMLData EngineeringAnalyticsSparkHadoopAWSAzureGCPK8sCommunicationCollaboration
About this role
Cloudera is a leader in data management and analytics, empowering organizations to transform complex data into actionable insights. The Performance Engineer will be a key member of the NFQE team, responsible for driving performance reliability of Kubernetes-hosted data services through performance testing, analysis, and collaboration with development and product teams.
Responsibilities:
- Work with internal development teams and the open source community to proactively drive performance improvements/optimizations across our data warehouse and Data Engineering stack
- Work with product managers, developers and the field team to understand performance and scale requirements, and develop benchmarks based on these requirements
- Develop automation to execute benchmarks, collect and aggregate metrics and profiles, and report results, trends, and regressions
- Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems
- Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions
- Evaluate performance of systems and provide related guidance to the team
Requirements:
- 3 + years of industry experience in performance-related work, ideally on large-scale distributed systems
- Understanding of DBMS algorithms and data structure fundamentals
- Understanding of hardware trends and full-stack systems performance: CPU, RAM, storage, network, Linux kernel, JVM, and distributed systems performance
- Understanding of performance analysis tools and techniques
- Strong design, coding skills, and test automation skills (Java/C++/Golang/Python preferred)
- Knowledge of relevant frameworks, cloud provider knowledge, K8s, etc
- Ability to work in a distributed setting with team members spread in multiple geographies
- Demonstrated ability to work on large cross-functional projects, including strong written communication skills and a collaborative mindset, as you will be working with many teams inside and outside of Cloudera
- Experience with benchmark and performance test design
- Experience designing performance tests that provide useful insights into specific aspects of performance
- Solid understanding of basic performance theory - in particular a very good understanding of latency, throughput, and concurrency and how they relate to each other
- Strong understanding of the types of workloads they'll be testing Ideally they should have specific experience creating performance tests for the specific product area they'll be working on (SQL, ML, etc)
- B.S. or M.S. in Computer Science or equivalent experience
- Experience with the Hadoop ecosystem (i.e. Hive, Impala, Spark), in specific Prior work on large‑scale data lakehouse or data‑warehouse performance
- Hands-on experience with containerization, Kubernetes, public cloud infrastructure (AWS, Azure and/or GCP) and mesh-networks
- Certifications: CKA/CKAD, AWS Solutions Architect, GCP Cloud Architect, Azure Solutions Architect, or equivalent
- Security & Compliance: Experience writing performance tests that also verify data‑privacy and audit compliance (e.g., GDPR, HIPAA)