Description
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The PV Ads CX team’s mission is to create the world’s most customer-centric ad experience for video streaming. Our vision is to build “premium” Ads CX for our customers across supply sources, ad formats, ad type (paid vs. house) and locales.
Successful candidates have a solid background in distributed system design, and service-oriented architecture. They have experience owning and maintaining highly-available, mission-critical systems. Experience in Advertising domain is a plus. You will need to have strong problem-solving and technical abilities, great communication skills, a motivation to learn, and achieve results in a fast-paced environment with excellent analytical reasoning skills.
Key job responsibilities
• Own architecture and feature development for our House program.
• Partner with other engineers to ideate, design, and build scalable solutions.
• Utilize data science to develop products that deliver great experiences for customers.
• Tackle complex technical challenges across the stack - from data pipelines to large scale services.
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The PV Ads CX team’s mission is to create the world’s most customer-centric ad experience for video streaming. Our vision is to build “premium” Ads CX for our customers across supply sources, ad formats, ad type (paid vs. house) and locales.
Successful candidates have a solid background in distributed system design, and service-oriented architecture. They have experience owning and maintaining highly-available, mission-critical systems. Experience in Advertising domain is a plus. You will need to have strong problem-solving and technical abilities, great communication skills, a motivation to learn, and achieve results in a fast-paced environment with excellent analytical reasoning skills.
Key job responsibilities
• Own architecture and feature development for our House program.
• Partner with other engineers to ideate, design, and build scalable solutions.
• Utilize data science to develop products that deliver great experiences for customers.
• Tackle complex technical challenges across the stack - from data pipelines to large scale services.
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