Software Development Engineer, Identity Analytics ...

Description AWS has the most services and more features within those services, than any other cloud provider-from infrastructure technologies like compute, storage, and databases-to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. AWS Platform is the glue that holds the AWS ecosystem together. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second. AWS Identity enables customers to manage authentication, authorization, and governance in the AWS Cloud. These services enable customers to securely manage and audit access to their AWS accounts and infrastructure anywhere along their AWS Cloud journey. With AWS, customers can use purpose-built identity, directory, and access services to help them easily and securely migrate existing workloads to the AWS Cloud and build new cloud-native applications. We own and develop Identity Analytics platform to automatically process and handle large volumes of data coming from all of Identity services to generate business metrics that can be easily consumed by services and leadership. The data from our platform is used to understand service usage patterns by our customers, build product roadmaps, security audit on IAM policy data and make business critical decisions. In this role, you will: Be building/using Bigdata solutions like EMR, Hadoop, Spark, AWS Glue, DynamoDB, S3, Redshift. Have full stack development experience covering databases, APIs and frontend (React) Have a significant bottom-line impact on our business by building business critical data solutions. Identify and build key features in our platform that can help customers onboard faster. Drive operational excellence by constantly improving our systems, monitoring, processes... Be responsible for solving challenges surrounding efficient operations and failure mode in large complex distributed systems. About Us 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. Work/Life Balance 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. Key job responsibilities In this role, you will: Be building/using Bigdata solutions like EMR, Hadoop, Spark, AWS Glue, DynamoDB, S3, Redshift. Have a significant bottom-line impact on our business by building business critical data solutions. Identify and build key features in our platform that can help customers onboard faster. Drive operational excellence by constantly improving our systems, monitoring, processes... Be responsible for solving challenges surrounding efficient operations and failure mode in large complex distributed systems. A day in the life Platform development: We have active development projects related to improving stability of the platform and making the platform fully self service. Each member of the team owns tasks or projects depending on their interests. Customer onboarding: Identity teams use BusinessMetrics platform to process their service data, extract relevant info and load metrics into Data warehouse. While we are working on making service fully self service, we do have requests which require code changes which include schema definitions, allowed listing accounts, defining queries etc. The requests come as tickets and the work load is distributed to each one or through oncall. About the team BusinessMetrics team works closely with Identity Product Managers to identify the metrics that add value to the business and ensure that the platform we develop can be used to track and report business metrics safely and reliably. As there are wide range of data sources that include S3, DynamoDB, Databases, Cloudwatch logs, Timber logs and Kinesis streams and as the data can be huge, we expect the platform to scale up to the needs without failing during processing. Our goal is to make the platform fully self service such that it can be used by our customer independently Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ 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 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 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.

Created: 2024-11-06