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Software Dev Engineer - AWS Glacier

Amazon is hiring a Software Dev Engineer - AWS Glacier in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions Java, distributed systems and storage systems among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Design and implement distributed storage services for Amazon S3 Glacier operating at extreme scale.

Java
distributed-systemsstorage-systemscloud-computingsoftware-engineeringlow-level-coding
Amazon S3 Glacier is a secure, durable, and extremely low-cost cloud storage service for data archiving and long-term backup. It is designed to deliver 99.999999999% durability, and provides comprehensive security capabilities. Customers use Glacier to store data long term, while having the flexibility of retrieving their data within a few minutes (using expedited retrieval speed) or few hours (using standard or bulk retrieval speeds.) Conventional storage systems are a poor fit for this domain as they are typically optimized for speed rather than space and cost. Glacier's unique constraints lead to to fascinating scaling and algorithmic problems that have never been tackled at our scale. To meet our cost goals, we have a constant need to drive fundamentally new storage technologies in the industry and come up with innovative ways to further optimize costs. We are now working on the next set of major hardware and software enhancements to the service and are seeking a Software Development Engineer to join our rapidly growing team.

As a developer on our team, you'll have the opportunity to lead the design and implementation of a distributed storage service that operates at extreme scale. Your design and development work would range from distributed system service development in Java, to low level systems coding that interfaces directly with hardware. You'll operate on the bleeding edge of innovations in the storage field, and will need to solve challenging fundamental computer science problems.

We are looking for a seasoned engineer who is keen to lead, invent in this space, and build what could easily become the largest data storage service on the planet.

Our team works together to provide work/life balance for all team members. We recognize that the circumstances of our team members vary, and we balance work across the team so that we’re all able to maintain high standards on behalf of our customers, while at the same time allowing for rich and happy personal lives.

In AWS, if you build it, you own it. Amazon S3 Glacier is a highly available 7x24 worldwide service requiring dedicated support from our engineering teams. We pride ourselves on a high level of ownership in the work we do. This means we hold a high bar for test automation, verification processes, design and code reviews to ensure that our systems meet the exacting standards our customers demand. We maintain a regular on-call rotation across our teams with engineers and managers all taking part to resolve the inevitable issues that arise. We work hard to minimize getting paged in the middle of the night as we recognize that a well-rested employee is a productive employee.

Upon joining Amazon S3 Glacier, every employee is paired with a peer buddy who will help you to quickly come up to speed in understanding the technology we’re building, the tools we use and the business problems we’re trying to solve. We hire exceptional people and we recognize the importance of coaching others. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, and job level. On our internal “Broadcast” video streaming website, you’ll find countless presentations by some of the brightest minds in computing discussing solutions to many of the exciting problems we’re solving in AWS today with new live-streaming videos added every week.

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 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
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 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
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience

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. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Dev Engineer - AWS Glacier at Amazon rates 0 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

Distributed SystemsStorage SystemsCloud ComputingSoftware EngineeringLow Level CodingJava

Questions you could be asked

  1. Tell me about a project where distributed systems was part of your work. What did you do?
  2. Tell me about a project where storage systems was part of your work. What did you do?
  3. Tell me about a project where cloud computing was part of your work. What did you do?
  4. Tell me about a project where software engineering was part of your work. What did you do?
  5. Tell me about a project where low level coding was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Storage Systems, Cloud Computing, Software Engineering, and Low Level Coding. 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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