{"id":2348582,"url":"https://alion.io/job/peloton-sr-software-engineer-content-ai","title":"Sr. Software Engineer, Content AI","company":{"id":5254,"name":"Peloton","domain":"onepeloton.com","url":"https://alion.io/company/peloton","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":307500,"max":361600,"currency":"PLN","period":"year","gross":null,"usd_annual":92518},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"ElasticSearch","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GraphQL","optional":false},{"name":"gRPC","optional":false},{"name":"Gunicorn","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kotlin","optional":false},{"name":"Kubernetes","optional":false},{"name":"MongoDB","optional":false},{"name":"MySQL","optional":false},{"name":"NLP","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Spring Boot","optional":false},{"name":"Terraform","optional":false},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-07-17T17:16:27Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-12T18:37:50Z","board_verified":true,"closed_at":null,"days_open":87,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":87},"description":"ABOUT THE ROLE\nThe 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).\n*This position is in Warsaw and we do go into the office Tuesday, Wednesday and Thursdays. \nYOUR DAILY IMPACT AT PELOTON\nDesign, develop and operate business-critical APIs and services with a focus on high availability, low latency, security and scalability\nMentor junior engineers in the team and communicate effectively with TPM and Product\nWrite understandable, well tested code with an eye towards maintainability and scalability\nArchitect and build reusable code, libraries, and patterns for use across teams\nPropose, experiment, and implement solutions to scale services while meeting business and product requirements. \nLeverage 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\nLead technical discussions during architecture meetings, design reviews, and task breakdown\nIdentify common patterns as well as develop and foster development of reusable components and standards across teams\nChampion 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\nMentor and coach engineers through code reviews, pair programming, and technical guidance\nParticipate in on-call rotations and lead incident response efforts to maintain system reliability\nCollaborate and partner with cross-functional team members from Product, Design, and QA whilst serving as a domain expert in your area\nYOU BRING TO PELOTON\nMS or BS degree in fields such as Computer Science, Engineering or Mathematics\n6+ years of software development experience building high-performance, highly scalable backend cloud application systems\nExpertise in Kotlin, Python, or similar languages\nStrong experience with Spring Boot, Bottle/Gunicorn, or similar backend web frameworks (JVM or Python)\nExperience with both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. DynamoDB, Mongo) databases\nHands-on experience with Elastic Search query optimization and scaling\nExperience with caching systems such as Memcache, Redis\nExperience with request processing such as REST, gRPC, or GraphQL\nProven ability to work in high growth, fast-paced environments and adapt to change\nExperience with Docker and Kubernetes for containerization and orchestration\nExperience with AWS services (DynamoDB, S3, ECR, IAM, Lambda, SQS) and cloud infrastructure design\nExperience with deployment tooling such as Terraform, GitHub Actions, Jenkins\nExperience with observability and monitoring tools such as Datadog or similar APM solutions\nStrong understanding of API design principles, security best practices, and performance optimization\nExperience with production support, leading incident response, and troubleshooting complex distributed systems\nExperience collaborating with and influencing cross-functional team members from Product, Design, and QA\nBONUS\nExperience with building personal voice digital assistants or chatbots\nExperience with building search platforms, personalizing search and discovery \nWorked with automatic speech recognition (ASR) \nThe 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.\nAs 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:\nMedical, dental and vision insurance \nGenerous paid time off policy\nShort-term and long-term disability\nAccess to mental health services\n401k, tuition reimbursement and student loan paydown plans\nEmployee Stock Purchase Plan\nFertility and adoption support and up to 18 weeks of paid parental leave \nChild care and family care discounts\nFree access to Peloton Digital App and apparel and product discounts\nCommuter benefits and Citi Bike Discount\nPet insurance and so much more!\nBase Salary Range\n307 500 zł—361 600 zł PLN\nABOUT PELOTON:\nPeloton (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.\nPeloton 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: .\nAt 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. \nQualified 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.\nPlease be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @ onepeloton.com email address. \nIf you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email  before taking any further action in relation to the correspondence.\nPeloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. 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