Senior Software Engineer, Data Foundations at Peloton
- Company: Peloton
- Location: Poland
- Employment type: full-time
- Posted: 2026-07-30
ABOUT THE ROLE
At Peloton, we treat Data as a Product - a critical asset that powers every member interaction and business decision. The Datastores team’s mission is to provide a reliable, secure, highly available, and highly performant data persistence layer for application services across the company. Our guiding principles: 1. Protect the data, 2. Optimize for scale, speed, and reliability, 3. Eliminate toil.
We are looking for a Senior Software Engineer with deep experience building and operating data-intensive systems to join our Datastores team. This role is ideal for a backend engineer who has built and operated production systems that rely heavily on databases, caching layers, and data pipelines, and who is excited to deepen their expertise in scalable, cloud-native data infrastructure.
You will work at the intersection of application engineering and data platform reliability - partnering with service teams to improve how data is stored, accessed, scaled, and observed across Peloton’s ecosystem.
YOUR DAILY IMPACT AT PELOTON
- Design, build, and operate backend systems that rely on scalable and highly available data persistence layers
- Partner with service teams to improve database design, query performance, and data modeling
- Contribute to automation around infrastructure provisioning using tools like Terraform and Backstage
Improve developer experience by building self-service tooling for databases and caching systems - Work on observability, performance insights, and autoscaling strategies for production datastores
- Contribute to architectural decisions around multi-regional data persistence and global scalability.
This role combines hands-on backend engineering with deep exposure to cloud data systems and platform reliability challenges.
YOU BRING TO PELOTON
- We’re looking for strong backend engineers who are “data-aligned” — meaning you’ve built systems where data performance, reliability, and modeling mattered
- 5+ years of software engineering experience building production backend systems
- Strong experience with relational databases such as PostgreSQL or MySQL, including schema design, indexing, and query optimization
- Experience working with NoSQL datastores such as DynamoDB, Redis, Elasticsearch, or Memcache
- Exposure to data pipelines, event-driven architectures, or systems that interface with streaming or batch processing frameworks
- Experience operating services in cloud environments (preferably AWS)
- A strong understanding of distributed systems fundamentals: latency, consistency models, replication, and scaling strategies
- Experience running or tuning PostgreSQL or Aurora in production
- Experience with multi-region architectures
- Exposure to observability tooling (metrics, tracing, query insights)
WHO YOU ARE
- You think about data integrity first
- You care about performance and understand that small database decisions can have large system-wide impact
- You enjoy reducing manual toil through automation
- You collaborate well with application engineers and platform teams
- You want to grow deeper into database reliability, scalability, and cloud-native data systems
ABOUT PELOTON:
Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.
Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because o
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