Hybrid Cloud Performance QA Engineer bei Tarana Wireless

About Team

Tarana Wireless India's QA team plays a crucial role in ensuring the performance, reliability, and quality of its cloud based distributed system architecture products. With a strong focus on cloud automation, usage of sophisticated tools, and detailed validation, the team works across cutting-edge technologies. Their work empowers product stability and innovation through advanced test automation, close collaboration with engineering, and a culture of continuous improvement.

Job Summary

We are looking for a passionate and skilled Cloud Performance QA Engineer to evaluate the scalability, responsiveness, and resilience of our large-scale distributed system — the Tarana Cloud Suite. This includes validating cloud microservices, databases, and real-time communication with intelligent radio devices.

As a key member of the QA team, you will be responsible for performance, load, stress, and soak testing, along with conducting chaos testing and fault injection to ensure system robustness under real-world and failure conditions. You'll simulate production-like environments, analyze bottlenecks, and collaborate closely with development, DevOps, and SRE teams to proactively identify and address performance issues.

This role requires a deep understanding of system internals, cloud infrastructure (AWS), and modern observability tools. Your work will directly influence the quality, reliability, and scalability of our next-gen wireless platform.

Key Responsibilities

• Understand the Tarana Cloud Suite architecture — microservices, UI, data/control flows, databases, and AWS-hosted runtime.
• Design and implement robust load, performance, scalability, and soak tests using Locust, JMeter, or similar tools.
• Set up and manage scalable test environments on AWS to mimic production loads.
• Build and maintain performance dashboards using Grafana, Prometheus, or other observability tools.
• Analyze performance test results and infrastructure metrics to identify bottlenecks and optimization opportunities.
• Integrate performance testing into CI/CD pipelines for automated baselining and regression detection.
• Collaborate with cross-functional teams to define SLAs, set performance benchmarks, and resolve performance-related issues.
• Conduct resilience and chaos testing using fault injection tools to validate system behavior under stress and failures.
• Debug and root-cause performance degradations using logs, APM tools, and resource profiling.
• Tune infrastructure parameters (e.g., autoscaling policies, thread pools, database connections) for improved efficiency.

Required Skills & Experience

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 3–8 years of experience in Performance Testing/Engineering.
• Hands-on expertise with Locust, JMeter, or equivalent load testing tools.
• Strong experience with AWS services such as EC2, ALB/NLB, CloudWatch, EKS/ECS, S3, etc.
• Familiarity with Grafana, Prometheus, and APM tools like Datadog, New Relic, or similar.
• Strong understanding of system metrics: CPU, memory, disk I/O, network throughput, etc.
• Proficiency in scripting and automation (Python preferred) for custom test scenarios and analysis.
• Experience with testing and profiling REST APIs, web services, and microservices-based architectures.
• Exposure to chaos engineering tools (e.g., Gremlin, Chaos Mesh, Litmus) or fault injection practices.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI) and integrating performance tests into build pipelines.

Nice to Have

• Experience with Kubernetes-based environments and container orchestration.
• Knowledge of infrastructure-as-code tools (Terraform, CloudFormation).
• Background in network performance testing and traffic simulation.
• Experience in capacity planning and infrastructure cost optimization.