Load & Performance Engineer

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.

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.

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

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.