Level

Amazon

Software Development Engineer, Amazon MQ

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

AI in this role

Amazon MQ is a managed AWS service for Apache ActiveMQ and RabbitMQ that streamlines setup, operation, and management of message brokers on AWS. Every day we make it easier for developers to build applications that use the rich features and power of open-source message brokers. We partner with the maintainers of the RabbitMQ and Apache ActiveMQ open source projects to continually evolve and improve the projects with new features and optimizations.

Key job responsibilities
As a Software Development Engineer with Amazon MQ, you will be responsible for designing, developing, testing, and deploying distributed open-source message broker systems and large-scale solutions for our world-wide customer base. In this, you will collaborate closely with cross-functional peers and open source project maintainers to influence our overall strategy and define the team’s roadmap. You will drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast-paced environment.

About the team
Amazon MQ is a single tenant managed service for open source message brokers. Our team is established in two locations (Vancouver & Seattle) and we're responsible for end-to-end delivery of our external & internal roadmap and supporting our customers. You will have an opportunity to engage with the open source communities to help shape mission critical software depended on by thousands of businesses globally.

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 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 Development Engineer, Amazon MQ at Amazon rates 31 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. Open the description and count.

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