Senior Software Engineer, Data Foundations

Senior Software Engineer, Data Foundations
ABOUT THE ROLE

At Peloton, we treat Data as a Product - a critical asset that powers every member interaction and business decision. The Data stores 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 Data stores 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.

You will:

• 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 data stores.
• 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.

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 No
  
  SQL data stores 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).

• 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.

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 of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law.

This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. If you would like to request any accommodations from application through to interview, please email: applicant

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.