Powerful search, reasoning, and action Once connected to all your tools and apps, Computer is embedded in your full business context. It can find and summarize, sure. Even more impressive: it offers employees insights, strategic and proactive suggestions, plus powerful agentic actions.

Extensions for your teams and customers Computer doesn’t make you choose between new software and old. Its AI-native platform lets you extend existing tools with sophisticated apps and agents. So your teams – and your customers – can take action, seamlessly. These agents work alongside you: updating workflows, coordinating across teams, and syncing back to your systems.

This isn’t just software. Computer brings people back together, breaking down silos and ushering in the future of teamwork, through human-AI collaboration. Stop managing software. Stop wasting time. Start solving bigger problems, building better products, and making your customers happier.

We call this Team Intelligence. It’s why DevRev exists.

Trusted by global companies across multiple industries, DevRev is backed by Khosla Ventures and Mayfield, with $150M+ raised. We are 650+ people, across eight global offices.

About The Role We’re looking for a Performance Test Engineer who thrives at the intersection of engineering precision and AI-driven innovation . In this role, you’ll design, execute, and evolve our performance testing ecosystem — blending the rigor of traditional testing with the intelligence of automation and agent orchestration.

You’ll work closely with engineering, DevOps, platform, and AI teams to simulate real-world conditions, identify bottlenecks, and ensure our systems are highly scalable, resilient, and efficient — delivering seamless experiences to millions of users globally.

What You’ll Do Core Performance Engineering

• Design and execute comprehensive performance test strategies — Load, Stress, Soak, Spike, Scalability, and Endurance testing.
• Develop and maintain performance scripts using tools such as JMeter, Gatling, LoadRunner, Locust, or k6.
• Simulate realistic user traffic and workload models for distributed systems.
• Perform root cause analysis across application, API, database, and infrastructure layers.
• Define and maintain performance baselines, SLAs, and SLOs.
• Integrate performance tests into CI/CD pipelines for continuous validation.

Advanced & AI-Driven Performance Testing

• Build AI-driven performance analysis frameworks using pattern recognition and anomaly detection.
• Develop custom test agents/orchestrators using MCPs to simulate large-scale, multi-node workloads.
• Implement self-healing test systems that adapt dynamically to environment changes.
• Use ML models to predict performance degradation and proactively optimize systems.
• Automate root cause detection with AI-assisted observability insights.

Monitoring & Insights

• Use observability tools (Grafana, Prometheus, Datadog, New Relic, AppDynamics) to monitor and analyze performance metrics.
• Create visual dashboards to communicate trends and optimization opportunities.
• Collaborate with SRE and development teams for end-to-end performance tuning.

Collaboration & Process

• Partner with engineering, QA, and platform teams early in the SDLC to define performance goals.
• Conduct post-release reviews and contribute to testing standards and best practices.

What You’ll Bring

• 5+ years of experience in performance testing for large-scale distributed systems.
• Strong programming skills in Python, Go, or JavaScript/TypeScript.
• Hands-on with modern testing tools (JMeter, Gatling, Locust, k6, LoadRunner).
• Expertise in performance metrics — latency, throughput, error rate, concurrency, resource utilization.
• Experience integrating with CI/CD (Jenkins, GitHub Actions, Azure DevOps).
• Deep understanding of microservices, containers (Docker, Kubernetes), and distributed architectures.
• Skilled in analyzing logs, metrics, and traces for performance bottlenecks.

Bonus Points For

• Experience with AI-assisted testing, anomaly detection, or AIOps.
• Familiarity with chaos engineering tools (Gremlin, LitmusChaos).
• Exposure to AWS, Azure, or GCP environments.
• Database performance tuning and caching strategies.
• Contributions to open-source testing or AI performance frameworks.

Culture The foundation of DevRev is its culture -- our commitment to those who are hungry, humble, honest, and who act with heart. Our vision is to help build the earth’s most customer-centric companies. Our mission is to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers.

That is DevRev!