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🚀 We're Hiring: Infrastructure Engineer – Performance & Load Testing📍 Location: New York City (NYC)
📄 Duration:
  • Long-Term Contract🔹 Job Summary
  • 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.
  • The ideal candidate will have strong hands-on experience with Google Cloud Platform (GCP), Kubernetes, Terraform, automation, and observability tools to support reliable, repeatable, and production-like load-testing environments.
🔹 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.
🔹 Required Skills:
  • 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.📩 Interested candidates: Please share your updated resume via DM.Please include your current location, work authorization, and availability when applying.
Thanks & Regards, Sapna Daniel- Lead – US IT Recruitment✉️ |🔗 LinkedIn: sapna-daniel1a8512140

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