Performance Engineer Job at Cloudera (San Jose)

Performance Engineer

Cloudera

Location:
United States , San Jose

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

124000.00 - 155000.00 USD / Year

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Job Description:

You will be a key member of the NFQE (Non Functional QE) team that drives the performance reliability of Cloudera’s Kubernetes‑hosted data services. The role blends deep technical knowledge of performance testing, distributed data workloads, and container orchestration with a data‑driven mindset. You’ll design, automate, run, and analyze performance tests for Cloudera’s flagship services, ensuring they meet or exceed customer‑defined SLOs/SLAs at scales.

Job Responsibility:

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
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
Strong understanding of the types of workloads they'll be testing
B.S. or M.S. in Computer Science or equivalent experience

Nice to have:

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)

What we offer:

Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups

Additional Information:

Job Posted:
February 14, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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