Software Development Manager, AWS AI
- Seattle, WA
In this role you will start out leading a AWS machine learning team which is going to be trend setting in the ML field. Have you ever wondered what it takes to build intelligence into enterprise systems so that we can enable real-time contact center analytics with our systems? In addition, does the thought of designing and modeling highly secure, fault-tolerant systems that scale to thousands of transactions per second (TPS) excite you?
As a manager of software development in AWS, you will part of the larger technical leadership community that forms the backbone of the company, plays a critical role in the broad business planning, working closely with senior executives, influences our long-term technical and business strategy, helps us hire talented team of engineers and ultimately enables us to deliver innovative new solutions rapidly.
This position within Machine Learning team presents a unique and rare opportunity to get in on the ground floor within a fast growing business and help shape the technology, product and the business. A successful candidate will bring deep technical and software expertise, strong business acumen and judgment, an ability to define visionary, ground breaking products, ability to hire and lead a team, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.
What will I work on?
Come work on new features as well as green-field projects where you can make a significant positive impact on a community of international customers. As a Software Development Manager, you should have a passion for delivery, drive for excellence and penchant for quality. You will practice development management practices such as scrum and making sure your team is productive solving technical challenges in system design, distributed computing, algorithms and back-end services.
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
• 10+ years of relevant software development and/or engineering management experience
• Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Experience with highly distributed, multi-tenet systems with clear state-full/state-less boundaries.
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, visit https://www.amazon.jobs/en/disability/us
• Masters or PhD in Computer Science
• Experience with machine learning, deep learning, data mining, and/or statistical analysis tools.
• Familiarity with natural language processing and understanding systems.
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