Automation Lead Full time QA / Engineering | Noduco Careers | Noduco

Define and lead performance engineering strategy across high-availability, cloud-native telecom platforms, coordinating a distributed guild of SDETs.

What You Will Do

- Define and lead the performance engineering strategy across high-availability, cloud-native telecom platforms.
- Lead, train, and coordinate a distributed guild of SDETs across multiple feature teams.
- Design, develop, and evolve scalable backend performance frameworks using k6, Python, Java, or TypeScript.
- Implement and manage production traffic replay strategies (e.g., GoReplay) and complex multi-tenant test data generation.
- Own and drive performance, load, stress, endurance, scalability, and resilience testing including chaos engineering.
- Validate real-time communication systems, event-driven architectures (Kafka, RabbitMQ), and high-throughput distributed systems.
- Integrate performance testing into CI/CD pipelines, enabling continuous performance validation and shift-left practices.
- Leverage observability tooling (Grafana, CloudWatch, Coralogix, VictoriaMetrics, PMM) to monitor and troubleshoot.
- Establish performance benchmarks, SLAs, SLOs, and error budgets aligned with business requirements.
- Collaborate with architecture and data teams to identify bottlenecks and validate database architectures.
- Analyze and optimize performance across legacy monolith systems and modern microservices architectures.

Requirements
- Demonstrable hands-on experience in backend performance engineering and automation using Python, Java, or TypeScript
- Proven track record of performance,



scalability, and resilience testing in AWS-based cloud-native systems
- Strong experience designing large-scale performance test strategies and leading QA/SDET teams
- Deep understanding of API performance testing, integration testing, and system-level non-functional validation
- Solid grasp of system architecture, distributed systems behavior, and non-functional testing methodologies
- Experience with observability, monitoring, and log analysis tools
- Familiarity with RESTful APIs and event-driven systems

What You Will Bring
- Proven experience mentoring and coordinating testing efforts across large, distributed engineering teams
- Strong hands-on experience with AWS cloud services (EC2, ECS, RDS, API Gateway)
- Proven expertise in performance testing tools (k6, JMeter, or Gatling)
- Hands-on experience with production traffic shadowing or replay tools (GoReplay)
- Deep experience testing distributed systems, message brokers (Kafka, RabbitMQ), and microservices
- Solid backend programming and scripting skills in Python, Java, or TypeScript
- Strong understanding of system design, concurrency, throughput, latency, and fault tolerance
- Experience implementing performance testing within CI/CD pipelines (Jenkins, GitHub Actions)
- Hands-on experience with observability and monitoring tools (Grafana, Coralogix, PMM)

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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