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

#LI-CK2

Infrastructure Engineer / Google Cloud Platform / Kubernetes / Load Testing

Key skills

About this role