The AWS Identity team innovates, builds, and operates the identity and access management services to enable AWS customers run their business workloads confidently and securely in the AWS cloud. We enable customers to securely manage identities, resources, and permissions at scale. We operate some of the largest distributed systems in the world, processing over 400 million transactions per second.
Our mission is to provide an intuitive workflow for AWS customers to manage access their most critical workloads. As part of this mission, we use automated reasoning techniques to guide customers to set and manage appropriate access controls across all their AWS environments.
We are growing our team with individuals passionate about building products for all AWS customers that combine automated reasoning and machine learning. We are seeking a passionate software development engineer to build an AWS solution to help customers seamlessly improve the security of their cloud assets. We innovate in a highly technical space. You will work with a team to build solutions on a global scale, own systems end to end, and influence the direction of technology used by all AWS customers globally. In this role you can expect to contribute to and design components for flexible and scalable solutions, deliver customer-facing functionality, and lead projects using data analysis techniques. You will have the opportunity to drive mission-critical projects and collaborate with your team members to deliver impactful changes to AWS. As part of the team, you will collaborate with your peers, principal engineers, subject matter experts in the AWS Identity space, and product managers to innovate on behalf of customers.
Come join a team of bright, fun, passionate, and customer-obsessed developers.
Meet some of our AWS Identity team members at https://awsidentity.careers/.
About the team
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 16 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS
BS Degree in Computer Science or equivalent
2+ years of non-internship professional software development experience
2+ years of programming experience with Java, Scala, Go, Python, C/C++, or Rust including object-oriented design
1+ years of experience contributing to the architecture, design patterns, reliability and scaling of new and current systemsPREFERRED QUALIFICATIONS
MS Degree in Computer Science or equivalent
5+ years industry experience as a Software Engineer or Developer
Interest in or experience with automated reasoning and machine learning
Experience with distributed, multi-tiered systems, algorithms, and relational databases
Ability to effectively articulate technical challenges and solutions
Ability to identify and resolve root causes, and mitigate immediate risks
Adept at handling ambiguous or undefined problems as well as ability to think abstractly
Excellent written and verbal technical communication with an ability to present difficult technical information in a clear and concise manner to a variety of audiences
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Experience with or interest in AWS or cloud computing in general
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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
Software and Programming