Our client is in the business segments Air Traffic Management (civil and military air traffic control, aeronautical information management, air defense) and Public Safety & Transport (police, fire and rescue services, emergency medical services, vessel traffic and railways). With headquarters in Vienna, the company employs more than 1800 people worldwide, with subsidiaries, regional offices and representatives in over 50 countries. In Cluj we started in 2009 and our local team currently has 250+ colleagues and is growing.
You will work for X10 FAA project, facilitating the transition of pure ATM-based voice communications to Unified Aeronautical Communications for the FAA (Federal Aviation Administration).
Key Tasks
Design, implement, and maintain load testing frameworks for microservices-based applications
Create and execute performance, load, stress, spike, and endurance tests
Simulate realistic user traffic and system usage patterns across distributed services
Define scalability test scenarios based on expected business growth and production workloads
Identify performance bottlenecks in microservices, APIs, databases, messaging systems, and infrastructure.
Monitor system behavior under load, including CPU, memory, network, disk I/O, and container resources
Analyze service response times, throughput, latency, error rates, and resource utilization
Validate horizontal and vertical scaling mechanisms (Kubernetes, auto-scaling groups, cloud-native scaling)
Verify system stability and resilience during peak traffic conditions.
Test scalability of service-to-service communication and message queues.
Establish and maintain performance KPIs, SLAs, and scalability targets.
Integrate automated performance tests into CI/CD pipelines
Configure and enhance observability solutions (RabitMQ, Grafana, ELK, etc.).
Produce performance reports and recommendations for architecture improvements
Support root-cause analysis of performance issues found during testing or production incidents
Evaluate the scalability impact of new features before release
Continuously improve load testing methodologies, tooling, and automation
Work closely with architects and developers to ensure scalability requirements are met throughout the development lifecycle
Key Qualifications
Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related field.
5+ years of experience in DevOps, Site Reliability Engineering (SRE), Performance Engineering, or a similar role.
Strong scripting skills using Python, Bash, PowerShell, or similar languages
Strong understanding of microservices architectures, REST APIs, and distributed systems
Experience with Kubernetes, Docker, and containerized environments
Experience with K6, Gatling, Artillery or similar load test tools.
Familiarity with distributed databases, message brokers, and key-value stores (e.g., Apache Cassandra, RabbitMQ, etcd, or comparable technologies) is highly desirable.
Knowledge of auto-scaling, high-availability, and fault-tolerant system design principle
Experience analyzing application and infrastructure performance metrics
IP networking know-how
Practical experience with CI/CD, and automation to improve efficiency in day-to-day development
Familiar with cloud-native concepts including experience with service-oriented architecture and infrastructure as code solutions
Good English skills (both written and spoken)