AI Senior Automation Engineer
Philippines Remote
About DevRev
At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.
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.
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.
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.
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.
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.
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.
DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
