Jobs → Engineering → Infrastructure Engineer

About the Role We are looking for an experienced Infrastructure Engineer specializing in Performance & Load Testing to design, build, and maintain scalable cloud infrastructure for performance testing of distributed applications. Key Responsibilities • Design, provision, and maintain GCP-based performance-testing environments. • Deploy and manage Kubernetes clusters, workloads, namespaces, services, and networking. • Automate infrastructure provisioning using Terraform or other Infrastructure as Code (IaC) tools. • Configure test environments to replicate production architectures and workloads. • Automate environment setup, teardown, reset, and configuration. • Prepare and manage test databases and realistic datasets for performance testing. • Automate data generation, loading, cleanup, and refresh processes. • Configure and execute performance and load tests across distributed environments. • Integrate performance testing into CI/CD pipelines. • Monitor infrastructure and application performance using Grafana, Prometheus, Datadog, and similar tools. • Analyze CPU, memory, network, storage, Kubernetes, and database metrics to identify bottlenecks. • Troubleshoot infrastructure-related performance issues and perform root-cause analysis. • Collaborate with Software Engineering, QA, SRE, and DevOps teams. • Maintain infrastructure documentation and ensure test environments are scalable, reliable, and cost-effective. Requirements • 6+ years of experience in Infrastructure Engineering, DevOps, SRE, Cloud Engineering, or a related field. • Strong hands-on experience with Google Cloud Platform (GCP). • Expertise in Kubernetes and containerized applications. • Experience deploying and troubleshooting distributed cloud applications. • Strong knowledge of Terraform or equivalent IaC tools. • Solid Linux and networking fundamentals. • Automation experience using Python, Bash, Go, or similar languages. • Experience with monitoring and observability tools. • Understanding of load testing, stress testing, endurance testing, scalability, concurrency, throughput, and latency. • Strong troubleshooting and root-cause-analysis skills. • Bachelor's degree in Computer Science, IT, Engineering, or a related field.