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Site Reliability Engineer

Peloton Interactive Inc - New York, New York

Posted Apr 17, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Not verified last checked Jun 13, 2026
Salary
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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Weekend work
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Application

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Deadline
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Where they hire

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About this role

Site Reliability Engineer New York, New York ABOUT THE ROLE At Peloton, we view Platform as a Product. A phenomenal platform unlocks speed of development and learning. It allows us to scale easily, enabling our engineers to maximize attention on new features and capabilities. A key to crafting a phenomenal platform is data-driven insights and understanding where we should focus our attention to create the best outcomes for our members. Platform at Peloton is a force-multiplier that enables Peloton to move faster and scale safely with minimal effort. Core to this mission is creation of the best developer experience in the tech industry for the entire spectrum of Peloton's technology. We work across an incredible range of technology domains: hardware, firmware, web, mobile, backend, data, messaging, content, streaming, and machine learning. We get to apply these to create a platform of products loved by millions of customers all over the world. Peloton is looking for a Site Reliability Engineer with an operations focus to work with teams across the organization to help build and maintain a monitorable, performant, reliable, and highly-scalable deployment platform. We are a growing team of engineers tackling exciting problems to handle thousands of nodes and pods spread across many deployments. YOUR DAILY IMPACT AT PELOTON - Automatic, fast auto scaling for live rides and special large events - Host a critical infrastructure that ensures that our members have the best experience possible on tens of thousands of pods across multiple clusters - Provide a platform for

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