Senior Performance Engineer (#5252)

We are looking for a Senior Performance Engineer to take full ownership of performance, scalability, and stability of our global web-based platform, deployed on-premises or in the cloud and serving thousands of concurrent users worldwide. This is not a project role - performance engineering here is a continuous discipline embedded across the full development lifecycle.

You will be the single accountable owner for system performance: setting the standards, building the tooling, enabling teams, and ensuring that as our product complexity, user volumes, and business programs grow, the platform scales predictably and without regression.

Responsibilities:

• Performance Ownership. Define and maintain performance SLAs/SLOs, own system-wide KPIs (latency, throughput, concurrency, stability), and serve as the primary point of accountability for performance across every release
• Load & Scalability Engineering. Design, implement, and continuously evolve a comprehensive test suite covering load, stress, and endurance/soak scenarios. Model realistic usage patterns specific to our domain - large BOM navigation, product structure queries, search and filtering, change and release workflows and validate scalability for large tenants and peak program conditions
• Backend & Infrastructure Performance. Analyze and optimize across the full stack: application server behavior (JVM tuning, thread pools, memory management, GC), database query plans, caching effectiveness, and network/storage I/O. Work closely with infrastructure, database, and platform teams to drive improvements
• Global Performance Optimization. Identify and address regional performance disparities, analyze WAN latency and API behavior for globally distributed access, and contribute to architectural decisions around caching strategies and data locality
• Tooling & CI/CD Integration. Build and maintain an open-source performance toolchain. Integrate performance testing into CI/CD pipelines, implement automated regression detection, and enforce release gates based on performance criteria
• Observability & Root-Cause Analysis. Establish and operate observability infrastructure using open-source solutions. Lead deep root-cause analysis on latency spikes, memory leaks, throughput degradation, and long-running stability issues. Support production incidents where performance is a factor
• Cross-Team Enablement. Partner with development teams to embed performance thinking into design and implementation. Run training on performance anti-patterns and optimization techniques, and deliver actionable insights - not just reports.

Requirements:

• 6+ years of hands-on experience in performance engineering
• Proven experience with on-premises enterprise systems and cloud environments
• Strong expertise in web application performance and REST/API performance testing
• Proficiency in Linux system diagnostics and low-level performance analysis
• Practical experience with open-source performance tooling: k6, Gatling, JMeter, or Locust
• Experience with observability stacks: Prometheus, Grafana, OpenTelemetry, Sentry
• Engineering mindset: capable of building, owning, and evolving systems, not just running tests
• Ability to operate independently and drive results across teams without close supervision
• Upper-Intermediate/Advanced English level

Nice to have:

• Background in PLM, ERP, or other large-scale enterprise platforms
• Experience working with complex data models and large object graphs (e.g., Bill of Materials hierarchies)
• JVM profiling and tuning experience, particularly for Java-based backend stacks
• Track record of integrating performance testing into CI/CD pipelines and enforcing automated quality gates