Staff Performance Engineer (Big Data)

TL;DR

Staff Performance Engineer (Big Data): Benchmarking, profiling, and optimizing large-scale query engines like Impala, Hive, and Spark with an accent on low-level system performance and distributed architecture. Focus on building benchmarks at scale, debugging complex performance bottlenecks, and driving industry-leading analytic standards.

Location: Must be based in Spain

Company

hirify.global empowers enterprises to transform complex data into actionable insights through open-source innovation and large-scale data management.

What you will do

• Build and execute performance benchmarks on large-scale clusters (1000+ nodes).
• Profile query engines using flame graphs, perf, and low-level debugging tools.
• Optimize execution engines, storage formats, and resource utilization.
• Collaborate with engineering teams to deliver performance-critical improvements.
• Publish performance best practices and competitive benchmarks.

Requirements

• Must be based in Spain
• Strong background in systems engineering and distributed systems.
• Expertise in C++, Java, or Scala.
• Deep knowledge of CPU architecture, memory, networking, and I/O.
• Hands-on experience with query engines such as Impala, Hive, or Spark.

Nice to have

• Experience benchmarking on cloud platforms like AWS, Azure, or GCP.
• Previous contributions or publications in performance engineering.

Culture & Benefits

• Generous PTO policy and Unplugged Days for work-life balance.
• Flexible work-from-home policy.
• Mental and physical wellness programs.
• Phone and internet reimbursement.
• Access to continued career development and employee resource groups.