Shape the utilities market of the future with us!

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?

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
response time
throughput
transactions per second
message ingestion rate
processing latency
CPU/memory usage
database load
Kafka lag
error rate
queue depth

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

Work with QA, DevOps, backend developers, product owners, and customer delivery teams to define acceptance criteria and performance baselines.

Must-haves (to thrive in this role)

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
Prometheus
Grafana
JVM or container metrics
PostgreSQL
Oracle

Ability to analyze logs, metrics, traces, and system behavior under load.

Strong scripting skills in at least one language:

Python
JavaScript
Groovy
Bash
Java

Nice-to-haves (great if you have them, but not a dealbreaker)

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.