Infrastructure Engineer - Performance & Load Testing

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

✉️ View email address on click.appcast.io| LinkedIn: sapna-daniel1a8512140