Role overview

Qualifications

Strong background in systems engineering and distributed systems
C++, Java, or Scala expertise
Deep knowledge of CPU architecture, memory, networking, and I/O
Hands-on experience with query engines (Impala, Hive, Spark)

Responsibilities

Build and run performance benchmarks at scale (1000+ nodes)
Profile query engines using flame graphs, perf, and low-level debugging tools
Optimize execution engines, storage formats, and resource usage
Collaborate with developers to deliver performance-critical improvements
Publish performance best practices and competitive benchmarks

Key facts

Remote from: Poland, Spain, Czechia
Full time
Senior (5-10 years)
Engineering Manager
English

Hard skills

C++ (Programming Language) Java (Programming Language) Scala (Programming Language) Performance Engineering Systems Engineering Distributed Computing Memory Management Microsoft Networking Database Engines Apache Impala Apache Hive Amazon Web Services Microsoft Azure gRPC

Other skills

Collaboration

About the company

Cloudera

Computer Software / SaaS

At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. Learn more at Cloudera.com.

Company details

Company typeLarge

IndustryComputer Software / SaaS

Company size1001 - 5000

Links

Website LinkedIn See all jobs

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Job description

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

We are looking for Performance Engineers to push the boundaries of big data query performance. You will benchmark, profile, and optimize Impala, Hive, and Spark to set industry-leading standards in analytic performance.

As a Staff Performance Engineer you will:

Build and run performance benchmarks at scale (1000+ nodes).
Profile query engines using flame graphs, perf, and low-level debugging tools.
Optimize execution engines, storage formats, and resource usage.
Collaborate with developers to deliver performance-critical improvements.
Publish performance best practices and competitive benchmarks.

We are excited if you have (Required Experience):

Strong background in systems engineering and distributed systems.
C++, Java, or Scala expertise.
Deep knowledge of CPU architecture, memory, networking, and I/O.
Hands-on experience with query engines (Impala, Hive, Spark).

You may also have (Preferred Experience):

Experience benchmarking on cloud (AWS, Azure, GCP).
Publications or contributions to performance engineering.

This role is not eligible for immigration sponsorship.

What you can expect from us:

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

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