# Splunk Staff Software Engineer - Performance Optimization & Innovation (PerfOpt)

**Company**: Splunk
**Location**: Krakow, Poland
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Krakow-Poland/Splunk-Staff-Software-Engineer---Performance-Optimization---Innovation--PerfOpt-_2026524-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_29689edd-ff3

## Description

### Job Overview

We are seeking a highly skilled Splunk Staff Software Engineer to join our Performance Optimization and Innovation (PerfOpt) team in Krakow, Poland. As a senior performance engineer, you will play a crucial role in improving the Splunk customer experience through deep performance work and setting long-term performance standards.

### Your Impact

As a Staff Software Engineer, you will:

- Lead performance work from hypothesis through instrumentation and design to measured customer impact, coordinating across teams as needed.

- Design petabyte-scale components for memory, concurrency, I/O, and tail latency, guiding architecture for scalability and reliability.

- Utilize profiling, flame graphs, lock contention analysis, benchmarks, and CI regression gates to identify and prevent performance issues.

- Instrument production with telemetry, eBPF, and continuous profiling to measure performance in real workloads.

- Compare performance options, quantify costs and risks, and present evidence-based recommendations to partners.

- Develop reusable AI workflows to shorten performance analysis from days to hours.

- Plan performance work, estimate effort, and lead postmortems to identify root causes and prevent regressions.

- Mentor peers and less experienced engineers on the team.

### Minimum Qualifications

#### Technical Depth

- Advanced C++ in production, including memory management, allocators, move semantics, cache-aware structures, and performance trade-offs.

- Deep performance engineering experience with CPU/memory profiling, flamegraph analysis, lock contention resolution, latency optimization in distributed architectures, benchmarking, and performance modeling.

- Architecture and system design skills, with experience in Docker and Kubernetes.

- Strong Python skills for tooling, benchmark harnesses, telemetry pipelines, and performance data analysis.

- Linux performance internals knowledge, including scheduler, memory subsystem, page cache, filesystems, block I/O, and network stack.

- Experience with Git and CI for automating builds, tests, benchmarks, and releases.

#### Leadership

- Track record of informing technical decisions, quantifying trade-offs, and surfacing risk early.

- Ability to distill sophisticated problems into comparable data points without losing nuance or hiding uncertainty.

- Clear, concise, high-signal communication across audiences.

- AI savviness applied to delivery speed, with daily use of AI coding agents on production work.

- Experience mentoring and growing engineers, coaching junior engineers into ownership, and influencing peers through technical leadership.

### Experience

- Bachelor's degree plus 8 years of related experience, master's degree plus 6 years, or PhD plus 3 years.

### Preferred Qualifications

- Experience with search or storage engines and large-scale data platforms.

- Knowledge of Splunk internals.

- Hardware-level work experience with SIMD, NUMA, cache/TLB behavior, PGO/LTO, and compiler optimization.

- Familiarity with Go, Rust, or another systems language alongside C++.

- Experience with AWS, Azure, or GCP, including storage, networking, and instance performance characteristics.

- Knowledge of Terraform, Puppet, or Ansible for reproducible performance test environments.

### What We Offer You

- Performance problems at a scale very few companies have - petabytes of data, real customers, and measurable impact from every millisecond you remove!

- A constant stream of new things to learn, with expansion into new areas, open source projects, and exploration of new technologies.

- Exceptionally versatile and dedicated peers, from engineering to product management to customer support.

- Career growth through technical ownership, leadership opportunities, and coaching.

- A stable work environment with clear ownership and measurable goals.

- Flexible hybrid work model (balanced work-from-home and in-office collaboration)

## Skills

### Required
- C++
- Python
- Linux
- Git
- Docker
- Kubernetes
- performance engineering
- profiling
- benchmarking
- telemetry
- eBPF
- continuous profiling
- lock contention resolution
- latency optimization
- distributed architectures
- scalability
- reliability

### Nice to have
- search engines
- storage engines
- large-scale data platforms
- Splunk internals
- SIMD
- NUMA
- cache/TLB behavior
- PGO/LTO
- compiler optimization
- Go
- Rust
- AWS
- Azure
- GCP
- Terraform
- Puppet
- Ansible

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Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/Krakow-Poland/Splunk-Staff-Software-Engineer---Performance-Optimization---Innovation--PerfOpt-_2026524-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)