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Annapurna Labs, as part of Amazon, is looking for Software Automation Engineer to help us develop a semiconductor platform based on a revolutionary architecture.
Take part in the development of products within a disruptive system architecture. You’ll have the opportunity to work in a dynamic, open, fast-paced environment, developing the technologies that power the world’s largest cloud provider. AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world.
Key job responsibilities
As Software Automation Engineer, you'll be responsible for creating ML (Machine learning) and HPC (High performance computing) automation and tools, create CI/CD flows and implement effective dashboards with high scale.
Basic Qualifications
- Bachelor's Degree in Computer Science, Electrical Engineering, Information Systems, or in related field.
- Experience with HW/software automation design and development.
- 4+ years of experience in Python and OOP.
- 4+ years of experience working with Linux/Windows servers, Git/version control, debugging complex systems.
Preferred Qualifications
- Familiarity with system design concepts and good system understanding.
- Experience in Linux kernel and drivers, embedded software testing (SW/HW), storage/networking.
- Experience with pytest/automation frameworks, CI/CD tools and processes, such as Jenkins, Team City, etc.; AWS tools such as Lambda, S3, EC2, EKS.
- Experience with Bash and Groovy
- Understanding of API concepts.
- Familiarity with ELK/Quicksight.
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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Amazon
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Seattle
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Management
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Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
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Stock
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Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
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1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
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