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Amazon

Software Development Manager - AWS Identity & Access, AWS IAM Identity Center

Amazon is hiring a Software Development Manager - AWS Identity & Access, AWS IAM Identity Center in Vancouver, Canada. It pays CAD 171k-CAD 286k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include AWS, Machine learning and cloud computing.
  • Level classifies it as a senior role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead an engineering team building scalable authentication and authorization services leveraging machine learning.

AWSMachine learning
cloud-computingdistributed-systemssoftware-managementidentity-management
The AWS Identity team builds the secure identity, access, and resource management foundation for customers to scale in the AWS Cloud. By joining the AWS Identity team, you will work on massively scalable, core technologies used for authentication and authorization to all AWS services (such as Amazon EC2, Amazon S3, and Amazon DynamoDB).

Our mission is to make it easier, safer and convenient for AWS customers to run their business workloads confidently and securely. As part of this mission, we process large amounts of data and leverage large scale data analysis techniques such as machine learning and automated reasoning to help customers set appropriate access controls across all their AWS environments.

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. 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.


A successful candidate for this position is a hands-on manager with established background in either IT operations, cloud computing, or software as a service. You are interested in delivering high-performing, reliable systems in a distributed environment, building and using large data collections and machine learning to deliver the next generation permission experience for all AWS customers. It is a highly technical space.

A big part of your role will be to grow and develop your team members and make them successful. You should be able to coach, lead and guide on career, technical and growth topics. You like working in a customer-oriented environment, managing with positive honest feedback, and look forward to work in a high quality international and diverse team. A big part of your role will be to grow and develop each individual in your team and make them successful and happy in their career. Finally, you will help drive the definition for new features and initiatives or even new AWS services, so you should be comfortable with ambiguity, willing to roll up your sleeves to do the definitional and set-up work needed, quickly unblock your team and have a high level of ownership and accountability.

Key Responsibilities:
- Develop and execute project plans and delivery commitments; handle the day-to-day activities of the engineering team within an agile environment.
- Staffing, mentoring, and growing a best-of-class engineering team.
- Operations of the service as a critical system.
- Work closely with the engineers to architect and develop the best technical design and approach. Be a hands-on technical leader and contributor.
- Report on status of development, quality, operations, and system performance to management.

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.


Basic qualifications

- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

Preferred qualifications

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.



CAN, BC, Vancouver - 171,400.00 - 286,200.00 CAD annually

How we rate this

Software Development Manager - AWS Identity & Access, AWS IAM Identity Center at Amazon rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Cloud ComputingDistributed SystemsSoftware ManagementIdentity ManagementAWSMachine learning

Questions you could be asked

  1. Tell me about a project where cloud computing was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where software management was part of your work. What did you do?
  4. Tell me about a project where identity management was part of your work. What did you do?
  5. Walk me through how you've used AWS in your day-to-day work.

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  • List these exact terms on your resume: Cloud Computing, Distributed Systems, Software Management, Identity Management, and AWS. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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