Driivz, a Vontier company, powers the e-mobility revolution with a market-leading, end-to-end EV charging and energy management platform for global charge point operators and electric mobility service providers.
We offer a scalable, integrated solution that enables our clients to efficiently manage their networks and provide EV drivers with an exceptional charging experience.
Operating in over 30 countries across the US, Europe, and Asia, we facilitate hundreds of millions of charging events for millions of EV drivers and manage more than 100,000 public chargers (with hundreds of thousands available through roaming).
Our customers include global industry leaders such as EVgo, Volvo Group, Shell, Circle K, Mer, Recharge, Kople, ESB, CEZ, MOL Group, and eMobility Power.
Join our team and collaborate with some of the brightest and most innovative minds driving the e-mobility industry forward and building a greener future.
For more information, please visit http://www.driivz.com
About the Role
Are you passionate about scalability, optimization, and systems that perform flawlessly under pressure? Do you thrive on digging into performance metrics, identifying bottlenecks, and tuning systems until they fly? If so, we want you on our team.
Driivz is looking for a Performance Engineer Leader to ensure the responsiveness, stability, and scalability of our mission-critical electric vehicle (EV) charging platform. You'll play a key role in maintaining and improving the performance of our complex distributed systems as they scale across global customer environments.
What You’ll Do
- Design and execute performance, load, stress, and scalability tests across Driivz products and components.
- Develop scripts and scenarios to simulate real-world user behavior and usage patterns using tools like k6, JMeter, Gatling, or similar.
- Analyze system performance and pinpoint bottlenecks across application layers (web, backend, DB, cloud infrastructure).
- Collaborate with development, DevOps, QA, and product teams to define performance benchmarks and SLAs.
- Recommend and implement improvements related to performance tuning, caching strategies, DB optimization, and architecture.
- Monitor and interpret production performance metrics, logs, and alerts to detect trends and proactively address risks.
- Stay up to date with evolving tools, technologies, and methodologies in the performance engineering space.
What You Bring
- 3+ years of experience in performance testing and engineering of large-scale, distributed systems.
- Strong hands-on experience with performance testing tools such as k6, JMeter, Locust, Gatling, etc.
- Solid understanding of web and cloud architectures, including HTTP, APIs, databases, load balancers, and caching.
- Experience with monitoring tools (e.g., Grafana, Prometheus, Kibana, Datadog, etc.).
- Familiarity with profiling and debugging tools for memory, CPU, and I/O analysis.
- Scripting/coding experience (e.g., Python, JavaScript, Bash) to build test scenarios and automation.
- Excellent analytical and problem-solving skills.
- Strong communication skills in English—written and verbal.
- Self-motivated, curious, and a team player.
Bonus Points
- Experience working with Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure).
- Familiarity with microservices architecture and message brokers (Kafka, RabbitMQ).
- Prior experience in a customer-facing production environment or SaaS product.
- Knowledge of CI/CD pipelines and integration of performance testing into release processes.