QA Software (Load & Performance) Test Engineer

Job description

Shape the utilities market of the future with us! We are looking for a “ Load and Performance Engineer” to design, execute, analyze, and report performance tests for the ZONOS ecosystem with it’s modules/Connectors related to MDM & HES , APIs, streaming services, databases, and integration components. The engineer will define realistic load profiles, simulate production-like traffic, identify bottlenecks, measure system capacity, and provide performance recommendations before release or customer deployment. What is the role about? Key Responsibilities Design and execute load, stress, scalability, spike, and failover performance tests for HES/MDM product Create realistic test scenarios covering: ZONOS API and Southbound API VEE processing MDUS / data ingestion flows Device events, alarms, meter reads, topology, and profile data Kafka/streaming pipelines Database-heavy operations ZCP user workflows where relevant Define performance KPIs such as: response time throughput transactions per second message ingestion rate processing latency CPU/memory usage database load Kafka lag error rate queue depth Maintain load test scripts using tools such as “ JMeter, k6, Simulator and Mock serve” . Monitor performance using tools such as “ Prometheus, Grafana”. Analyze bottlenecks across: APIs database queries Kafka topics/partitions backend services VEE jobs process engine network and infrastructure JVM/container resources Prepare detailed performance reports with findings, risks, recommendations, comparison with previous versions and release readiness conclusions. Work with QA, DevOps, backend developers, product owners, and customer delivery teams to define acceptance criteria and performance baselines. Required skills and qualifications Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience. 3+ years of experience in performance testing, load testing, or performance engineering. Had experience in the Energy Management utility (Meter data management, HES ….) Strong understanding of: REST APIs authentication flows asynchronous processing queues and event streaming distributed systems microservices performance behavior Experience with monitoring and observability: Prometheus Grafana JVM or container metrics Good knowledge of databases and query performance, preferably in addition to good knowledge about system setup: PostgreSQL Oracle Experience testing high-volume data ingestion, messaging, or IoT/AMI/utility platforms is highly preferred. Ability to analyze logs, metrics, traces, and system behavior under load. Strong scripting skills in at least one language: Python JavaScript Groovy Bash Java Preferred skills and qualifications Skills with: Kafka performance testing AMI / smart metering systems MDMS / MDM platforms VEE validation and estimation workloads DLMS/COSEM concepts large-scale device simulation API Director / ReadyAPI Kubernetes or containerized environments CI/CD integration for performance tests.