Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the RoleFor many of our creators, streaming on Twitch is a career, and our payment systems are central to making this possible. We're operating at a massive scale and you'll help millions of creators to earn a living doing what they love.
As a key member of the engineering team, you will report to the Senior Engineering Manager of Payments team and have the opportunity to build and scale solutions that affect millions of users and broadcasters. You will take high ownership of your services - architecting, building and operating them. You will partner with other engineers, product managers, designers and data specialists to deliver solutions.
Our team is based in San Francisco, CA
You Will:- Work with technical leads and other engineers to design and develop commerce/payments platform and services
- Contribute to customer-focused project deliveries
- Work with other teams to clarify product requirements
- Improve engineering processes
- Participate in design and code reviews
- Minimum of Bachelor’s degree in Computer Science or prior relevant engineering experiences
- Strong understanding of data structures, algorithms, data modeling and schema design
- 1+ years as an software engineer
- Experience creating detailed technical documentation
- Proficient experience level in one or more of the following language: Go, Ruby, Java, C++
- Familiar with AWS ecosystem
- Experience in commerce or payments domain
Twitch user, broadcaster, or partner or experience in the gaming industry
- Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW9253
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Twitch San Francisco, California, USA Office
350 Bush St, San Francisco, California, United States, 94104
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
