- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 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, NY, New York - 184,900.00 - 250,200.00 USD annually
We are seeking an experienced, customer-focused Sr. Software Development Engineer to lead the development of innovative solutions in brand measurement. This role will play a pivotal part in helping advertisers measure, analyze, and optimize their brand-building campaigns across Amazon Ads. By delivering performance reporting and actionable AI driven insights, our team empowers global advertisers to connect their media investments with real customer outcomes. If you’re passionate about data-driven decision-making and developing solutions that impact millions of customers, this is the role for you!
Key job responsibilities
- Design and architect scalable, high-performance software systems that leverage advanced generative AI technologies
- Develop and implement innovative machine learning algorithms to optimize advertising performance and customer insights
- Collaborate with product managers, scientists, and design teams to create seamless, intelligent advertising experiences
- Lead technical design reviews and provide mentorship to junior engineering team members
- Drive strategic technical decisions that shape the future of AI-powered advertising platforms
A day in the life
Your day will be filled with collaborative problem-solving, where you'll design and implement sophisticated data and AI-driven systems that enhance advertising technologies. You'll work closely with cross-functional teams, prototype innovative solutions, and tackle complex technical challenges that push the boundaries of measurement in advertising.
About the team
As part of the Brand Measurement team, you will define the technical strategy, roadmap, and delivery of solutions designed to help advertisers maximize their brand-building efforts. You will collaborate closely with engineering, data science, and design teams to build robust, data-driven reporting products. You will help advertisers understand the effectiveness of their campaigns, identify optimization opportunities, and drive tangible business outcomes. Your responsibilities will include working backward from the customer to identify needs, partnering with engineering to build scalable event-driven architectures to process billions of impressions and conversions daily, and driving adoption through close collaboration with internal and external stakeholders.
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