Sr. Software Engineer, Content AI

Peloton; Warszawa; On-site; PLN 308,000 - 362,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

Generous paid time off

Employee Stock Purchase Plan

Commuter benefits

Job summary

Peloton is seeking a Senior Software Engineer to act as the technical lead for an agile team in Warsaw. You will design, develop, test, deploy, and monitor scalable microservices powering Peloton's core features and support international growth.

You’ll mentor junior engineers and coordinate with TPM, Product, Design, and QA throughout the lifecycle. The role emphasizes high availability, security, and performance, with on-site presence Tue–Thu in the Warsaw office.

Qualifications

• 6+ years of software development experience building high-performance, highly scalable backend cloud application systems.
• Expertise in Kotlin, Python, or similar languages.
• Strong experience with Spring Boot and modern backend frameworks.
• Experience with relational and NoSQL databases.
• Hands-on experience with caching systems and search technologies.
• Experience with API design, security, and performance optimization.

Responsibilities

• Design, develop, and operate business-critical APIs and services with focus on high availability and scalability.
• Mentor junior engineers and communicate effectively with TPM and Product.
• Write well-tested, maintainable code and architect reusable components.
• Lead architectural discussions and drive design reviews.
• Collaborate with cross-functional teams across Product, Design, and QA.
• Contribute to incident response and on-call rotations to ensure reliability.

Skills

Kotlin

Python

REST

gRPC

GraphQL

Spring Boot

Docker

Kubernetes

AWS

Terraform

GitHub Actions

Jenkins

PostgreSQL

MySQL

DynamoDB

MongoDB

Elasticsearch

Redis

Memcached

Datadog

Education

MS or BS in Computer Science / Engineering / Mathematics

Tools

Docker

Kubernetes

Terraform

GitHub Actions

Jenkins

Datadog

AWS

Job description

ABOUT THE ROLE

The Senior Software Engineer acts as the technical lead for an agile team, focusing on the design and development of scalable microservices for Peloton's core features across all platforms (Bike, Tread, Strength, and Digital). The Content AI Team is responsible for training and hosting various models in the domains of Natural Language Processing (NLP) and Automatic Speech Recognition (ASR). This role is highly collaborative, requiring close partnership with Product, Design, and QA throughout the development lifecycle. The candidate will be responsible for designing, developing, testing, deploying, and monitoring microservices that specifically power features like search, voice, and captions, which are crucial for platform expansion and international growth. In addition to technical delivery, excellent communication and engineering skills are essential for providing guidance to junior team members and effectively coordinating with other stakeholders, such as Technical Program Managers (TPM).

*This position is in Warsaw and we do go into the office Tuesday, Wednesday and Thursdays.

YOUR DAILY IMPACT AT PELOTON

• Design, develop and operate business-critical APIs and services with a focus on high availability, low latency, security and scalability
• Mentor junior engineers in the team and communicate effectively with TPM and Product
• Write understandable, well tested code with an eye towards maintainability and scalability
• Architect and build reusable code, libraries, and patterns for use across teams
• Propose, experiment, and implement solutions to scale services while meeting business and product requirements.
• Leverage production monitoring/profiling/tracing and load testing tools to discover bottlenecks and using techniques such as data modeling, query optimization, and caching to address the bottlenecks
• Lead technical discussions during architecture meetings, design reviews, and task breakdown
• Identify common patterns as well as develop and foster development of reusable components and standards across teams
• Champion and implement industry best practices such as feature toggles, CI/CD, test automation, logging, and monitoring in order to ensure confidence in our release process
• Mentor and coach engineers through code reviews, pair programming, and technical guidance
• Participate in on-call rotations and lead incident response efforts to maintain system reliability
• Collaborate and partner with cross-functional team members from Product, Design, and QA whilst serving as a domain expert in your area

YOU BRING TO PELOTON

• MS or BS degree in fields such as Computer Science, Engineering or Mathematics
• 6+ years of software development experience building high-performance, highly scalable backend cloud application systems
• Expertise in Kotlin, Python, or similar languages
• Strong experience with Spring Boot, Bottle/Gunicorn, or similar backend web frameworks (JVM or Python)
• Experience with both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. DynamoDB, Mongo) databases
• Hands-on experience with Elastic Search query optimization and scaling
• Experience with caching systems such as Memcache, Redis
• Experience with request processing such as REST, gRPC, or GraphQL
• Proven ability to work in high growth, fast-paced environments and adapt to change
• Experience with Docker and Kubernetes for containerization and orchestration
• Experience with AWS services (DynamoDB, S3, ECR, IAM, Lambda, SQS) and cloud infrastructure design
• Experience with deployment tooling such as Terraform, GitHub Actions, Jenkins
• Experience with observability and monitoring tools such as Datadog or similar APM solutions
• Strong understanding of API design principles, security best practices, and performance optimization
• Experience with production support, leading incident response, and troubleshooting complex distributed systems
• Experience collaborating with and influencing cross-functional team members from Product, Design, and QA

BONUS

• Experience with building personal voice digital assistants or chatbots
• Experience with building search platforms, personalizing search and discovery
• Worked with automatic speech recognition (ASR)

The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.

As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:

• Medical, dental and vision insurance
• Generous paid time off policy
• Short-term and long-term disability
• Access to mental health services
• 401k, tuition reimbursement and student loan paydown plans
• Employee Stock Purchase Plan
• Fertility and adoption support and up to 18 weeks of paid parental leave
• Child care and family care discounts
• Free access to Peloton Digital App and apparel and product discounts
• Commuter benefits and Citi Bike Discount
• Pet insurance and so much more!

Base Salary Range

307 500 zł—361 600 zł PLN

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 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 [e-mail].

At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.

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.