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Job Location: Seattle, WA
- 4+ years of professional software development experience
- 3+ years of programming experience with at least one software programming language
- 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
- Experience as a mentor, tech lead OR leading an engineering team
Job summary
We are starting a brand new initiative to build a world class platform for data preparation of supervised learning models for cross Consumer teams. Our modular data platform helps our customers take full advantage of AI and other methodologies for (1) data preparation, (2) fast, accurate, and inexpensive label generation, and (3) model training. We are building on top of existing AWS products for training data generation and model training that accelerates the ML lifecycle for Consumer scenarios.
On this platform, we offer services and apps to accelerate the ML lifecycle for our customers. We close the feedback loop when we build our products, systems, and datasets, which allows us to iteratively and continuously improve our models. We provide and maintain the data we produce together with metadata that describes that context and quality of our data.
As a member of the team you will be part of a Day 0 initiative and responsible for leading the development and launch of core products that accelerate the model lifecycle for Consumer teams. You will have significant influence on the overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product.
Key job responsibilities
We are looking for engineers who are self-motivated and customer-focused individuals with a good instinct for developing software services. These skills help us define the leading edge for elegant, super-scalable ML services for Consumer organization. The ideal candidate will have strong distributed systems and web services design and implementation experience. The person should have a sound understanding of the fundamentals of computer science and practical experience building large-scale distributed systems using C++/Java in a Linux/Unix environment. An ideal candidate should enjoy working on complex system software, be customer-centric, and feel passionate not only about building great software but about making that software achieve its goals as an owner of one of Amazon’s flagship services. If you have a flair for innovation and passion for solving some of the most challenging problems in the industry, we need you!
A day in the life
As a Sr SDE you will be expected to:
• Serve as a technical lead on our most demanding, cross-functional projects.
• Ensure the quality of architecture and design of systems.
• Fully and completely understand system inter-dependencies and limitations.
• Possess expert knowledge in full-stack performance, scalability, system architecture, and engineering best practices.
• Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience.
About the team
Our mission is to: “To build a platform in partnership with AWS for training data generation and model training that accelerates the ML lifecycle for Consumer scenarios.”
Experience developing cloud software services and an understanding of design for scalability, performance and reliability.
Development experience defining, developing and maintaining REST based interfaces.
Excellence in technical communication with peers and non-technical cohorts.
Sharp analytical abilities and proven design skills.
Strong sense of ownership, urgency, and drive.
Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices.
Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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