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
- 1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
USA, CA, Palo Alto - 165,200.00 - 223,600.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
Imagine having the opportunity to directly shape the experiences of millions of Amazon customers every day. As part of our Advertising team, you'll do just that - designing, building, and maintaining the large-scale systems that power Amazon's advertising offerings.
This is no ordinary software engineering role. You'll be tackling complex, industry-defining challenges, leveraging the right technologies to create reliable, high-performance solutions from the ground up for the entire Ad industry. From decomposing ambiguous problems into clear, straight-forward implementations to collaborating with product managers on new feature ideas, every day will bring novel obstacles to overcome.
The ideal candidate has a proven track record of delivering new products and features, with a deep understanding of computer science fundamentals, experience building large-scale distributed systems and machine learning infrastructure. You take initiative to improve operational excellence. You're a self-starter who thrives in fast-paced, collaborative environments, with strong verbal and written communication skills. Most importantly, you're passionate about solving complex problems on behalf of customers.
Key job responsibilities
In this role, you will:
- Design, develop, test, deploy, deliver, and maintain distributed data and ML systems that are core to Amazon’s Advertising stack.
- Have the opportunity to grow and broaden your technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation.
- Functionally decompose complex problems into simple, straight-forward solutions.
- Brainstorm with product management and partner teams about new ideas, technical design and project plans; make data-driven decisions to inform product prioritization.
- Drive mission critical projects, work with senior engineers and mentor junior level engineers.
If this sounds like the kind of challenge you're eager to take on, we'd love to hear from you. Join our team and help shape the future of Amazon Advertising.
About the team
Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have an ambitious roadmap and a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
- 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
- 1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 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.
USA, CA, Palo Alto - 165,200.00 - 223,600.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
Imagine having the opportunity to directly shape the experiences of millions of Amazon customers every day. As part of our Advertising team, you'll do just that - designing, building, and maintaining the large-scale systems that power Amazon's advertising offerings.
This is no ordinary software engineering role. You'll be tackling complex, industry-defining challenges, leveraging the right technologies to create reliable, high-performance solutions from the ground up for the entire Ad industry. From decomposing ambiguous problems into clear, straight-forward implementations to collaborating with product managers on new feature ideas, every day will bring novel obstacles to overcome.
The ideal candidate has a proven track record of delivering new products and features, with a deep understanding of computer science fundamentals, experience building large-scale distributed systems and machine learning infrastructure. You take initiative to improve operational excellence. You're a self-starter who thrives in fast-paced, collaborative environments, with strong verbal and written communication skills. Most importantly, you're passionate about solving complex problems on behalf of customers.
Key job responsibilities
In this role, you will:
- Design, develop, test, deploy, deliver, and maintain distributed data and ML systems that are core to Amazon’s Advertising stack.
- Have the opportunity to grow and broaden your technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation.
- Functionally decompose complex problems into simple, straight-forward solutions.
- Brainstorm with product management and partner teams about new ideas, technical design and project plans; make data-driven decisions to inform product prioritization.
- Drive mission critical projects, work with senior engineers and mentor junior level engineers.
If this sounds like the kind of challenge you're eager to take on, we'd love to hear from you. Join our team and help shape the future of Amazon Advertising.
About the team
Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have an ambitious roadmap and a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
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