Software Engineer III, Content AI

United States Digital Space LLC; Poland; On-site; PLN 180,000 - 240,000; Full time

Job summary

United States Digital Space LLC is seeking a mid-level Software Engineer to join an agile team responsible for designing and developing scalable microservices powering our core features across platforms. You will work on APIs powering search, voice, and subtitles, with a focus on high availability and performance.

The role requires collaboration with Product, Design, and QA, and involves debugging, testing, deployment, and monitoring in a fast-growing environment.

Qualifications

• MS or BS degree in Computer Science, Engineering or Mathematics.
• 3+ years of backend software development experience.
• Experience with Kotlin or Python and modern web frameworks.
• Experience with AWS, databases, and microservices.

Responsibilities

• Develop and maintain business-critical APIs and services with a focus on high availability, low latency, security and scalability under guidance from senior engineers.
• Effectively provide updates to the team leaders and participate in sprint planning and team meetings.
• Write understandable, well-tested code with an eye towards maintainability and scalability.
• Contribute to building reusable code, libraries, and patterns for use across teams.
• Implement solutions to scale services while meeting business and product requirements, often under supervision.
• Utilize production monitoring/profiling/tracing and load testing tools to discover bottlenecks and apply techniques such as data modeling, query optimization, and caching to address them.
• Understand 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.
• Participate in on-call rotations and assist with incident response efforts to maintain system reliability.

Skills

Kotlin

Python

Spring Boot

REST

gRPC

GraphQL

Docker

Kubernetes

AWS

PostgreSQL

MySQL

DynamoDB

MongoDB

Elasticsearch

Memcached

Redis

CI/CD

GitHub Actions

Jenkins

Datadog

Education

MS or BS in Computer Science, Engineering or Mathematics

Tools

Docker

Kubernetes

Terraform

GitHub Actions

Jenkins

Datadog

Job description

ABOUT THE ROLE

Mid level Software Engineer will be a member of the agile team which is responsible for design and development of scalable microservices for the company'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). The candidate will be responsible for developing, testing, deploying, and monitoring microservices that specifically power features like search, voice, and subtitles, which are crucial for platform expansion and international growth. In addition to technical delivery, good communication skills are essential for providing updates to engineering leads and other stakeholders, such as Technical Program Managers (TPM).

YOUR DAILY IMPACT AT the company

• Develop and maintain business-critical APIs and services with a focus on high availability, low latency, security and scalability under guidance from senior engineers

• Effectively provide updates to the team leaders and participate in sprint planning and team meetings

• Write understandable, well-tested code with an eye towards maintainability and scalability

• Contribute to building reusable code, libraries, and patterns for use across teams

• Implement solutions to scale services while meeting business and product requirements, often under supervision

• Utilize production monitoring/profiling/tracing and load testing tools to discover bottlenecks and apply techniques such as data modeling, query optimization, and caching to address them

• Understand 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

• Participate in on-call rotations and assist with incident response efforts to maintain system reliability

YOU BRING TO the company

• MS or BS degree in fields such as Computer Science, Engineering or Mathematics

• 3+ years of software development experience building backend cloud application systems

• Experience in Kotlin, Python, or similar languages

• Experience with Spring Boot, Bottle/Gunicorn, or similar backend web frameworks (JVM or Python)

• Familiarity with both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. DynamoDB, Mongo) databases

• Familiarity with Elastic Search

• Familiarity with caching systems such as Memcache, Redis

• Experience with request processing such as REST, gRPC, or GraphQL

• Ability to work in high growth, fast-paced environments and adapt to change

• Familiarity with Docker and Kubernetes for containerization and orchestration

• Familiarity with AWS services (DynamoDB, S3, ECR, IAM, Lambda, SQS) and cloud infrastructure concepts

• Familiarity with deployment tooling such as Terraform, GitHub Actions, Jenkins

• Experience with observability and monitoring tools such as Datadog or similar APM solutions

• Understanding of API design principles, security best practices, and performance optimization

• Experience with production support and troubleshooting issues in distributed systems

• Experience collaborating with 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)

ABOUT the company:

the company (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, the company brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, the company has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.

the company 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 the company, 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 the company, 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.