About the position
WW Integrated Marketing Systems and Intelligence (WIMSI) is looking for a talented Software Development Engineer who is customer obsessed and entrepreneurial to help our global marketing organization build the most progressive tools, techniques and technologies for the modern marketer in order to engage our customers more effectively and more efficiently. Our products hold strategic significance in Amazon's global marketing investment strategies. We leverage data and innovative technologies to solve difficult and complex business problems at Amazon’s scale. If you are passionate about Big Data, Distributed Systems, Machine Learning, GenAI, and MLOps and want to learn and grow in these fields, this is the perfect role for you. As a Software Development Engineer in the WIMSI team, you will be responsible for designing, developing, and delivering complex, low-latency, and high throughput software products that construct a holistic system to pave the way for long-term marketing-wise scaling, automation and AI/ML optimization efforts with the ultimate goal of improving marketing effectiveness and efficiency, including campaign metadata and digital asset management systems, data processing and ML infrastructure serving experimentation and productionization of causal measurement and ML models at scale. You will partner closely with other engineers, Data & Applied Scientists, Economists, Product Managers, and our external advertising agencies, publishers, and vendors to accomplish our mission.
Responsibilities
- Building both internal and customer-facing applications, tools, and platforms that streamline and scale the Amazon Marketing tech stack.
- Participating in all stages of the development life-cycle, spanning design, development, testing, and operation.
- Iterating on product features based on user feedback.
- Building and operating entire applications end-to-end, across UI, API, Database, and Infrastructure.
- Participating in design and security reviews for team members to help improve the quality of all our services.
- Generating new ideas for improving operational capabilities for the Amazon MODE-Tech team.
Nice-to-haves
- Experience with Big Data technologies
- Familiarity with Distributed Systems
- Knowledge of Machine Learning concepts
- Experience with GenAI and MLOps
