Software Development Engineer

Amazon is hiring a Software Development Engineer in Sydney, Australia. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

AWS Region Services AWS Intelligence Initiative provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of Region Services, you will support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Our Region Services team redefines the way AWS designs, builds, and operates AWS regions to enable new AWS Cloud Infrastructure and Services offerings to customers across every industry and of every size, including start-ups, enterprises, and public sector organizations. We are actively seeking experienced Software Development Engineers with a strong background in system design.

Must hold or be able to attain an Australian Government Security Vetting Agency clearance (see https://www1.defence.gov.au/security/clearances).

Key job responsibilities
- Lead software efforts, by assisting in designing new systems and collaborating with other teams to refine requirements
- Mentor other Engineers
- Design and build reusable, maintainable, and performant software consistent with Amazon standard technologies
- Develop best in class software systems for automating Amazon's network
- Provide technical direction to the team and identify areas of focus
- Deliver simple, sustainable and repeatable solutions and processes
- Deal with ambiguity, make data-driven decisions and juggle cross-organization complexity
- Create and review documentation and process regarding recurring issues, new standard operating procedures and product documentation.
- Participating in 24/7 on-call rotation to troubleshoot high severity issues

About the team
Region Services provides the highest caliber Operational Solutions and Cleared Support for services within our Regions. We provide 'hands on keyboard' support to our service teams by deploying changes into these isolated regions, monitoring the results, and reporting any issues that are observed.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic qualifications

- 7+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

Preferred qualifications

- 5+ 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

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
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.

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How we rate this

Software Development Engineer 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.