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Cloud Software Engineer, Annapurna Labs

Amazon is hiring a Cloud Software Engineer, Annapurna Labs in Haifa, Israel. 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.
  • Tools and skills the posting cites include AWS, cloud computing and automation.
  • Level classifies it as a mid-level role.
  • Level lists 21,000+ other open roles at Amazon.

AI in this role

Develop cloud software infrastructure and automation services using AWS technologies.

aws
cloud-computingautomationsoftware-engineeringinfrastructure

Annapurna Labs is a semiconductor company established by semiconductor industry veterans and is now part of Amazon Web Services. Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.
Join us and become part of the already elite team, working on new disruptive technologies. You’ll have the opportunity to work with technologies that power the world’s largest cloud provider, within a dynamic, open, and fast-paced environment.
We offer a growing dynamic, open, teamwork environment operating at high pace mode. You will be developing challenging software infrastructure and services using AWS cloud computing technologies and AI .
We are looking for you, a highly skilled engineer who is a team player, eager to learn and innovate.


Key job responsibilities
* Develop state-of the-art automation infrastructure solution for multiple SW projects
* Design solutions which enable automation flows on cloud infrastructure
* Collaborate with team leaders, SW developers, product managers, and QA engineers on a daily basis
* Provide service and support for automation developers
* Guide and mentor junior engineers.


About the team
*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 flexible work hours and arrangements are part of our 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 (gender 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

- Experience managing multiple projects, prioritizing, planning, and managing time
- Experience in a fast paced, dynamic organization
- 2+ years of experience in programming (python preferred)
- 2+ years of experience with design and implementation of automation frameworks
- Experience in software engineering concepts: OOP, OOD, data structures and algorithms
- Experience with version control tools (Git, Gerrit, other)

Preferred qualifications

- Experience working on public clouds – AWS preferred
- Experience with Python
- Experience in technical lead or small development team lead
- Experience with CI tools: Dockers, Jenkins, etc.

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

Cloud Software Engineer, Annapurna Labs 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 ComputingAutomationSoftware EngineeringInfrastructureAWS

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

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 automation was part of your work. What did you do?
  3. Tell me about a project where software engineering was part of your work. What did you do?
  4. Tell me about a project where infrastructure was part of your work. What did you do?
  5. Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Cloud Computing, Automation, Software Engineering, Infrastructure, 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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