Description

　　Amazon Web Services is looking for experienced software developers to join the Security Analytics and AI Research team within AWS GuardDuty (https://aws.amazon.com/guardduty/). This team is entrusted with researching and developing core data mining and machine learning algorithms used to protect applications and services running on AWS . On this team, you will invent and implement innovative solutions for never-before-solved problems. As an engineer on the team, you will collaborate with scientists and security researchers to build customer facing threat detection solutions. If you have a passion for security and experience with large scale machine learning problems, this will be an exciting opportunity. We are building massively scalable and globally distributed security systems to power next generation services.

　　Key job responsibilities

　　Collaborate with scientists to integrate successful experiments into large scale, highly complex production services.

　　Build complex systems that turn machine/deep learning and AI research into great products for our customers.

　　Rapidly design and conduct large scale experiments in a high-ambiguity environment, making use of both quantitative and business judgment

　　Interact with security engineers and related domain experts to dive deep into the types of challenges that we need innovative solutions for

　　About the team

　　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 we 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-live 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.

　　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.

　　We are open to hiring candidates to work out of one of the following locations:

　　New York, NY, USA

　　Basic Qualifications

　　5+ years of non-internship professional software development experience

　　5+ years of programming with at least one software programming language experience

　　5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

　　Experience as a mentor, tech lead or leading an engineering team

　　Preferred Qualifications

　　5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

　　Bachelor's degree in computer science or equivalent

　　Experience building complex software systems that have been successfully delivered to customers

　　Experience with big data and machine learning technologies such as Apache Spark, Hadoop, ElasticSearch, EMR, Glue, and Sagemaker

　　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.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.