Senior Software Engineer, Marketing Measurement, CMO

Description Description Job summaryAmazon is investing heavily in building a customer centric, world class marketing & advertising business across channels and geographies. Machine Learning is evolving the way we are building new marketing products, programs and services to smartly measure and optimize marketing campaigns to increase customer engagement. As a senior developer, you will be on the cutting edge of developing big-data solutions to provide actionable data insights in this dynamic marketing landscape.If you are passionate about Amazon-scale Big Data, Machine Learning and Predictive Analytics software, join our team within the Consumer Behavior Analytics cross-channel-optimization (CBA-XO)organization is strategically and uniquely organized with SDEs, DEs, Product managers, Data/Applied Scientists and Economists to solve challenging predictive analytics problems at Amazon scale by providing data driven actionable insights.As an SDE, you will be tasked with leading product innovations in measurement and optimization that enable us to deliver relevant and performant advertising experiences to customers. As a trusted senior leader you will be given some of the most difficult & ambiguous technical problems within privacy & security landscape to solve. You will need to invent elegant solutions and design systems that help the science & marketing managers to test and learn the impact of advertising strategies across channels on these metrics while ensuring a great customer experience.You will operate as a mix of strategic thinker, mentor and implementer. You will spend the bulk of the time as designing & architecting product innovations and contributing to the ongoing evolution of the big-data product. You will mentor team SDEs who work closely with customers and product managers to develop and deliver product deliveries.You will influence science leaders, product manager and engineering leaders. Part of this role requires influencing the product vision and strategy. You will drive choices for decision-making product features . You will work closely with engineers & science who are building the machine learning systems to deliver ads across platforms influencing product features and architectural choices.Key job responsibilitiesKey Responsibilities:Participate in the full development life cycle, working within broadly defined parametersIndependently own the delivery of an entire piece of a system or application on midsize to large complex projectsManagement and execution against project plans and delivery commitmentsWork closely with principal engineers and principal data engineers to develop the best technical design and approach for new a product/feature development.Builds software solutions where the problem may sometimes not be well defined. Designs and defines the interaction between the other component piecesCreate and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts.Basic Qualifications • 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems• 3+ years of programming experience with at least one modern language such as Java, C++, or C including object-oriented design• 4+ years of professional software development experience• 2+ years of experience as a mentor, tech lead OR leading an engineering team• 5+ years of professional software development experience• 3+ years of broad engineering experience including infrastructure and application development in AWS infra, Java, Python and or C/C+• 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systemsPreferred Qualifications • Bachelor''s degree or equivalent professional experience• Experience in designing, and building complex software systems.• Proven track record of leading the delivery of large-scale, high-quality systems• Experience with Agile Management, OO Modeling, UNIX, and database related projects• Exposure to Big Data Ecosystem and hands-on knowledge of MapReduce (Hadoop, Spark, Pig) technology• Experience with Data Lakes and/or Large analytic Systems• Experience working on automated marketing technologies• Familiarity with various AWS technologies (S3, DynamoDb, Kinesis, EMR, Cloudformation, Sagemaker, SNS/SQS) and related architecture patternAmazon 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. For individuals with disabilities who would like to request an accommodation, please visit Qualifications • 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems• 3+ years of programming experience with at least one modern language such as Java, C++, or C including object-oriented design• 4+ years of professional software development experience• 2+ years of experience as a mentor, tech lead OR leading an engineering team• 5+ years of professional software development experience• 3+ years of broad engineering experience including infrastructure and application development in AWS infra, Java, Python and or C/C+• 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systemsPreferred Qualifications • Bachelor''s degree or equivalent professional experience• Experience in designing, and building complex software systems.• Proven track record of leading the delivery of large-scale, high-quality systems• Experience with Agile Management, OO Modeling, UNIX, and database related projects• Exposure to Big Data Ecosystem and hands-on knowledge of MapReduce (Hadoop, Spark, Pig) technology• Experience with Data Lakes and/or Large analytic Systems• Experience working on automated marketing technologies• Familiarity with various AWS technologies (S3, DynamoDb, Kinesis, EMR, Cloudformation, Sagemaker, SNS/SQS) and related architecture patternAmazon 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. For individuals with disabilities who would like to request an accommodation, please visit

Created: 2025-10-04