Infrastructure Engineer / Google Cloud Platform / Kubernetes / Load Testing

Motion Recruitment; New York (NY); On-site; USD 110,000 - 160,000; Full time

Job summary

Motion Recruitment is seeking an Infrastructure Engineer focused on performance and load testing. The role supports consolidation of dining and restaurant tech platforms, with a hybrid work model preferred in New York City and consideration for Chicago-based candidates.

You will work with GCP, Kubernetes, and modern observability and automation tools. The engineer will design environments, tooling, test data, and infrastructure to make performance testing effective, joining a global tech

Qualifications

• Must have hands-on Google Cloud Platform experience.
• Advanced on deploying, operating, and troubleshooting Kubernetes environments.
• Experience with performance, scalability, and load testing for distributed applications.
• Ability to build and configure performance testing environments and test data.
• Strong observability knowledge across applications and infra.
• Experience with Grafana, Prometheus, Datadog for monitoring.
• Experience with CI/CD pipelines and integrating performance tests into automated workflows.

Responsibilities

• Build and maintain scalable performance-testing environments.
• Execute, automate, and trigger performance/load tests.
• Monitor results and troubleshoot performance bottlenecks.
• Collaborate with infrastructure, engineering, and quality teams.

Skills

Performance testing

Load testing

Observability

Test data setup

Data seeding

Environment automation

Cross-functional collaboration

Troubleshooting

Capacity planning

Autoscaling

AI technologies

Tools

Google Cloud Platform

Kubernetes

Grafana

Prometheus

Datadog

Terraform

k6

JMeter

Gatling

Locust

Job description

A global technology organization is hiring an Infrastructure Engineer focused on Performance & Load Testing to support the consolidation of several major dining and restaurant technology platforms. This is a 6-month contract-to-hire opportunity with a strong preference for candidates who can work hybrid in New York City. Candidates based in Chicago may also be considered.

This engineer will help build highly scalable, reliable infrastructure as multiple dining solutions are brought together into a unified technology environment. The role combines Google Cloud Platform, Kubernetes, performance engineering, observability, and test automation, with opportunities to work with modern infrastructure and emerging AI technologies. It is ideal for someone who can do more than execute load tests and is comfortable building the environments, tooling, test data, and infrastructure required to make performance testing effective.

Required Skills & Experience

• Strong hands-on experience with Google Cloud Platform (Google Cloud Platform)
• Advanced experience deploying, operating, and troubleshooting Kubernetes environments
• Experience with performance, scalability, and load testing for distributed applications
• Ability to build and configure performance testing environments
• Experience with test data setup, data seeding, and environment preparation
• Ability to execute, automate, and trigger performance/load tests
• Strong understanding of application and infrastructure observability
• Experience with monitoring platforms such as Grafana, Prometheus, and Datadog
• Experience analyzing infrastructure and application performance to identify bottlenecks
• Strong troubleshooting skills across cloud infrastructure, containers, and application environments
• Ability to work cross-functionally with engineering, infrastructure, and quality teams

Desired Skills & Experience

• Experience supporting high-volume consumer or transaction-based applications
• Experience with performance testing tools such as k6, JMeter, Gatling, or Locust
• Infrastructure-as-Code and automation experience with tools such as Terraform
• Experience with CI/CD pipelines and integrating performance tests into automated workflows
• Understanding of Kubernetes capacity planning, autoscaling, resource utilization, and performance tuning
• Experience working within restaurant technology, hospitality, marketplace, or e-commerce environments
• Exposure to AI-enabled engineering tools or modern AI technologies
• Experience supporting platform consolidation, migration, or large-scale modernization initiatives

What You Will Be Doing

Tech Breakdown

• 35% Google Cloud Platform & Kubernetes Infrastructure
• 30% Performance & Load Testing
• 20% Observability & Performance Analysis
• 15% Test Environment Automation & Data Seeding

Daily Responsibilities

• 40% Building and maintaining scalable performance-testing environments
• 25% Executing and automating load/performance tests
• 20% Monitoring results and troubleshooting performance bottlenecks
• 15% Collaborating with infrastructure, application engineering, and quality teams