Join a team working on building next generation technology to redefine how users will interface with machines. We are a team of highly motivated individuals, enabling developers to create next generation of conversational bots. We leverage cutting edge machine learning, Natural Language processing and Speech Recognition to do the heavy lifting for our customers.
As the Software Development Manager of this team, you will be responsible for leading a team of strong engineers, and continuing to develop them. You will need to constantly challenge the boundaries of speech recognition. You will draw from deep and broad technical expertise to mentor engineers and provide leadership on complex technical issues. You will manage some of our most strategic technical projects, deliver large scalable systems, design new software systems at the cutting edge of machine learning technology, and have a significant bottom-line impact on our business and competitive position.
This role within AWS AI 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. You will be part of the larger technical leadership community that forms the backbone of the AWS AI organization. You will play a critical role in business planning, work closely with senior executives, influence our long-term technical and business strategy, and ultimately enable us to deliver innovative new solutions rapidly.
A successful candidate will bring deep technical and software expertise, strong business acumen and judgment, a capability to build and grow a talented team, desire to have an industry wide impact, and ability to work within a fast moving, startup environment to rapidly deliver services that have a broad business impact. You should have a passion for delivery, drive for excellence, and penchant for quality. You will practice development management practices such as scrum and make sure your team is productive solving technical challenges in system design, distributed computing, and full-stack 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.
• Bachelor's degree in Computer Science or Engineering
• 10+ years of software development experience, and/or at least 2 years of 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
• Master's or Ph.D. degree in Computer Science
• 5+ years of relevant software development and/or engineering management experience
• Experience with machine learning, deep learning, data mining, and/or statistical analysis tools
• Familiarity with natural language processing and understanding systems
• Experience with highly distributed, multi-tenant systems
Hear directly from employees about what it's like to work at Amazon.