Engineer, Performance & Observability

(This positions will require you to be hybrid in Irving, TX office 3 days a week.)

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.

• 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.

Required Qualifications

• 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.

Preferred (Nice-to-Have) Skills

• 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.

At Foot Locker, we value innovation, authenticity, and integrity in all that we do. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools, including ChatGPT, during interviews and assessments. To ensure a smooth and secure experience, please review the following guidelines:

• Cameras must be on for all virtual interviews.
• AI tools are strictly prohibited during interviews or assessments.

We appreciate your understanding and cooperation as we work together to create a transparent and equitable hiring experience.

The annual base salary range is $63,000 -$110,000. This range represents the anticipated low and high end of the salary for this position. Salary will be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Salary is one component of the Foot Locker, Inc. total compensation package, which includes the below.

Foot Locker Benefits :

• Employee Discount
• Paid Time Off
• Medical | Dental | Vision Coverage
• 401(k) | Roth 401(k)
• Stock Purchase Plan
• Life Insurance
• Flexible Spending Account
• Opportunities for Advancement
• Tuition Reimbursement for Qualified Courses
• Strong Company Culture
• Employee Resource Groups

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