Senior Performance Engineer

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Motive

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚗 Transport

🤖 Artificial Intelligence

🏢 Enterprise

Transport • Artificial Intelligence • Enterprise

Motive is a company that provides an integrated operations platform designed to enhance the safety, productivity, and profitability of fleet management and operations. Utilizing cutting-edge AI technology, Motive offers solutions such as driver safety monitoring, fleet management, equipment monitoring, and spend management. These services provide unparalleled visibility into vehicles and equipment, automate workflows, reduce costs, and improve efficiency for industries like construction, oil & gas, public sector, food & beverage, and logistics. Motive is recognized as a leader in fleet management and empowers companies to maximize their operational potential with innovative solutions.

📋 Description

• Own and drive the overall performance testing strategy: load, stress, soak, spike, endurance, and capacity testing • Design and execute performance test scenarios using tools like JMeter, Gatling, k6, or Locust • Provide guidance to other performance engineers • Define, track, and report on solution performance KPIs (response time percentiles, throughput, error rates, resource utilization) • Profile and tune Java/Spring Boot applications, diving deep into JVM internals, GC behavior, heap sizing, and thread pool performance • Analyze and optimize messaging protocol performance (MQTT, STOMP): connection scaling, throughput, QoS impact, and session management • Conduct capacity planning and dimensioning exercises, translating business growth projections into concrete infrastructure sizing recommendations • Identify and resolve scalability bottlenecks across the full stack, from application code to container orchestration • Tune Kubernetes performance (resource requests/limits, HPA/VPA, pod scheduling) across platforms such as k3s, OpenShift, EKS, and AKS • Diagnose container-level issues including CPU throttling, OOM kills, and I/O contention • Build and maintain observability dashboards using Prometheus/Grafana • Integrate performance testing into CI/CD pipelines to catch regressions early • Present findings and recommendations to engineering leadership, influencing architecture and infrastructure decisions • Champion a performance-first mindset across teams

🎯 Requirements

• 12+ years of experience in performance engineering • Hands-on with at least one major performance testing tool (JMeter, Gatling, k6, or Locust) • Strong knowledge of Java/JVM internals and Spring Boot profiling (JFR/JMC, async-profiler, YourKit) • Solid background in resolving common application bottlenecks (HikariCP, thread models, N+1 queries, connection leaks) • Comfortable scaling up messaging protocols (MQTT, STOMP) • Kubernetes performance tuning across at least two of k3s, OpenShift, EKS, AKS • Capacity planning and dimensioning experience • Proficient with Prometheus/Grafana • Experience integrating performance testing into CI/CD pipelines • Strong communicator, able to influence architecture decisions at leadership level • Nice-to-Haves: Kafka/RabbitMQ performance tuning (consumer lag, partition sizing, throughput) • Hands-on with message broker scalability and tuning (VerneMQ, eJabberd, RabbitMQ, Vert.x, or similar): cluster sizing, topic/subscription fan-out, persistent session overhead, and connection limits • Database performance tuning (Redis, MaxScale/MySQL, Oracle/GoldenGate): query plans, indexing, connection pooling • Knowledge of cloud auto-scaling patterns • Familiarity with IaC tools (Ansible, Terraform, Helm) for reproducible test environments • Scripting skills (shell) for custom tooling

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events