Engineer, Performance & Observability

Foot Locker Inc.•Irving, TX

56d•$63,000 - $110,000

About The Position

We are looking for a passionate and skilled Software Engineer with deep expertise in Performance Engineering and Observability to join our global engineering team. This role is ideal for someone who thrives in a collaborative, cross-functional environment and is excited to work with teams distributed across multiple time zones. You will play a key role in ensuring our systems are scalable, performant, and observable, enabling rapid development and reliable delivery of high-quality software.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum 3 years of experience in software engineering with a focus on performance and observability.
Hands-on experience with at least one performance testing tool (e.g., JMeter, LoadRunner, CloudTest, Azure Load Testing).
Hands-on experience with at least one observability platform (e.g., New Relic, OTel, Catchpoint, Grafana).
Experience working in cloud-native environments (e.g., AWS, Azure, GCP).
Experience in scaling microservices architecture and distributed systems.
Familiarity with CI/CD pipelines and DevOps practices.
Experience collaborating with cross functional teams.

Nice To Haves

Experience with cross-browser testing tools like LambdaTest.
Experience with scripting languages (e.g., Python, Bash).
Exposure to infrastructure-as-code tools (e.g., Terraform, Ansible).
Familiarity with serverless platform, containerization and orchestration (Docker, Kubernetes,).
Interest in AI-driven performance optimization.
Hands-on experience in implementing in real time monitoring for frontend and backend performance analysis.

Responsibilities

Design and execute performance testing strategies using tools such as JMeter, Gatling, CloudTest, Postman, Selenium or similar.
Build and maintain observability frameworks using tools like New Relic, OTel, Prometheus, and Grafana.
Collaborate with globally dispersed teams including developers, QA, DevOps, and product managers to identify and resolve performance bottlenecks.
Integrate observability and performance metrics into CI/CD pipelines for proactive monitoring and alerting.
Conduct and document root cause analysis of performance issues and recommend optimizations in Cloud and on-prem environments.
Support cross-browser and cross-platform testing using tools like LambdaTest.
Advocate for performance and observability best practices across engineering teams.
Document performance benchmarks, test plans, and observability dashboards.
Partner with vendors and SaaS/PaaS providers to enhance enterprise-wide observability and performance engineering capabilities, ensuring scalable and resilient system monitoring.