Software Development Engineer, AWS Access Analyzer
Amazon · Santa Clara, California, USA ·
- Category
- Software engineering
The AWS Identity team builds, operates, and innovates the identity, authentication, and authorization stack for the AWS cloud. As part of that mission, IAM Access Analyzer uses automated reasoning to reason and recommend access control for customers. This enables customers to set the right access controls confidently across their AWS environments. We are seeking a seasoned software developer engineer to build products that combine automated reasoning and technology to deliver solutions to all AWS customers. You will build solutions on a global scale, own your systems end to end, and influence the direction of technology used by all AWS customers around the world. In this role you can expect to design 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 partner teams to deliver impactful changes to AWS. You will work with others, from mentoring junior developers to collaborating with principal engineers, to raise the quality bar for your team’s software development practices.
You will work to define the product, technical design, and foundational AWS solutions. As an engineer, you are interested in delivering high-performing, reliable systems in a distributed environment, building and using automated reasoning to deliver the next generation permission experience for all AWS customers. It is a highly technical space. You are a strong technical contributor who understands the big picture, operational aspects as and architecture of our code. You like working in a customer oriented environment, dive deep in logs, metrics and similar tooling to unearth improvements and problems and look forward to work in a high quality international and diverse team.
Key job responsibilities
As an SDE on our team you will:
• Lead design, implementation, and deployment of systems and services.
• Define secure and scalable solutions for data collection, data processing, machine learning and customer facing APIs.
• Develop and incorporate machine learning and automated reasoning techniques into customer capabilities.
• Collaborate efficiently with scientists, engineers on other teams, and product managers to deliver impactful projects.
• Decompose complex problems into simple, straight-forward solutions while working through system interdependencies and limitations.
• Share your knowledge of the most effective performance, scalability, architecture, and engineering patterns and methods.
• Learn and apply new skills regularly, while working on some of the most critical systems in AWS
A day in the life
This team is a great fit for you if
- You enjoy working with a fun team that prides itself on a great work environment with an inclusive group of people that are working together towards a common goal.
- You are sensitive to customer needs and interested in working on a service that will be used, directly and indirectly, by millions of customers and has a meaningful impact to their functions and interactions.
- You’d like to be directly responsible for solving real customer problems.
- You are a passionate learner and are motivated to take on new challenges.
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 host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon 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.
Learn more about Amazon on our Day 1 Blog: https://blog.aboutamazon.com
You will work to define the product, technical design, and foundational AWS solutions. As an engineer, you are interested in delivering high-performing, reliable systems in a distributed environment, building and using automated reasoning to deliver the next generation permission experience for all AWS customers. It is a highly technical space. You are a strong technical contributor who understands the big picture, operational aspects as and architecture of our code. You like working in a customer oriented environment, dive deep in logs, metrics and similar tooling to unearth improvements and problems and look forward to work in a high quality international and diverse team.
Key job responsibilities
As an SDE on our team you will:
• Lead design, implementation, and deployment of systems and services.
• Define secure and scalable solutions for data collection, data processing, machine learning and customer facing APIs.
• Develop and incorporate machine learning and automated reasoning techniques into customer capabilities.
• Collaborate efficiently with scientists, engineers on other teams, and product managers to deliver impactful projects.
• Decompose complex problems into simple, straight-forward solutions while working through system interdependencies and limitations.
• Share your knowledge of the most effective performance, scalability, architecture, and engineering patterns and methods.
• Learn and apply new skills regularly, while working on some of the most critical systems in AWS
A day in the life
This team is a great fit for you if
- You enjoy working with a fun team that prides itself on a great work environment with an inclusive group of people that are working together towards a common goal.
- You are sensitive to customer needs and interested in working on a service that will be used, directly and indirectly, by millions of customers and has a meaningful impact to their functions and interactions.
- You’d like to be directly responsible for solving real customer problems.
- You are a passionate learner and are motivated to take on new challenges.
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 host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon 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.
Learn more about Amazon on our Day 1 Blog: https://blog.aboutamazon.com