Software Development Engineer II, AI/ML ADC at Amazon
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machine learning
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The Amazon Web Services team is innovating new ways of building massively scalable distributed systems and delivering the next generation of cloud computing with AWS offerings like Polly, SageMaker, and Rekognition. In 2013, AWS launched 280 services, but in 2016 alone we released nearly 1000. We hold high standards for our computer systems and the services we deliver to our customers: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale; our employees are smart, passionate about the cloud, driven to serve customers, and fun to work with.
A successful engineer joining the team will do much more than write code and triage problems. They will work with Amazon's largest and most demanding customers to address specific needs across a full suite of services. They will dive deep into technical issues and work diligently to improve the customer experience.
The ideal candidate will:
- Love what they do and instinctively know how to make work fun. Our company credo is "Work hard. Have fun. Make history".
- Have strong Linux & Networking Fundamentals. The ideal candidate will have deep experience working with Linux, preferably in a large scale, distributed environment. You understand networking technology and how servers and networks inter-relate. You regularly take part in deep-dive troubleshooting and conduct technical post-mortem discussions to identify the root cause of complex issues.
- Love to code. Whether it’s building tools in Java or solving complex system problems in Python, the ideal candidate will love using technology to solve problems. You have a solid understanding of software development methodology and know how to use the right tool for the right job.
- Think Big. The ideal candidate will build and deploy solutions across thousands of devices. You will strive to improve and streamline processes to allow for work on a massive scale.
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.
Key job responsibilities
- You design, implement, and deploy software components and features. You solve difficult problems generating positive feedback.
- You have a solid understanding of design approaches (and how to best use them).
- You are able to work independently and with your team to deliver software successfully.
- Your work is consistently of a high quality (e.g., secure, testable, maintainable, low-defects, efficient, etc.) and incorporates best practices. Your team trusts your work.
- Your code reviews tend to be rapid and uneventful. You provide useful code reviews for changes submitted by others.
- You focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve your team’s software, making it better and easier to maintain.
- You make improvements to your team’s development and testing processes.
- You have established good working relationships with peers. You recognize discordant views and take part in constructive dialogue to resolve them.
- Train new team-mates about your customers, what your team’s software does, how it is constructed, tested, operates, and how it fits into the bigger picture.
- Design and build automation to help address operational needs and customer asks.
- Design and customize service features to support use cases for US government customers and commercial stakeholders.
- Participate in region build and operational activities when required.
- Participate in an on-call rotation.
A day in the life
Engineers in this role will work on automation, development, and operations to support AWS machine learning services for US government customers. They will work in an agile environment, attend daily standup, and collaborate closely with teammates. They will work on exciting challenges at scale and tackle unsolved problems.
About the team
The AWS AI/ML Amazon Dedicated Cloud team is a devops team focused on supporting US government customers by delivering, supporting and customizing AWS AI/ML commercial services for our customers use cases. We strongly believe in automating our operations, continuously improving our processes, and always insisting on the highest standards.
We are open to hiring candidates to work out of one of the following locations:
Herndon, VA, USA
A successful engineer joining the team will do much more than write code and triage problems. They will work with Amazon's largest and most demanding customers to address specific needs across a full suite of services. They will dive deep into technical issues and work diligently to improve the customer experience.
The ideal candidate will:
- Love what they do and instinctively know how to make work fun. Our company credo is "Work hard. Have fun. Make history".
- Have strong Linux & Networking Fundamentals. The ideal candidate will have deep experience working with Linux, preferably in a large scale, distributed environment. You understand networking technology and how servers and networks inter-relate. You regularly take part in deep-dive troubleshooting and conduct technical post-mortem discussions to identify the root cause of complex issues.
- Love to code. Whether it’s building tools in Java or solving complex system problems in Python, the ideal candidate will love using technology to solve problems. You have a solid understanding of software development methodology and know how to use the right tool for the right job.
- Think Big. The ideal candidate will build and deploy solutions across thousands of devices. You will strive to improve and streamline processes to allow for work on a massive scale.
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.
Key job responsibilities
- You design, implement, and deploy software components and features. You solve difficult problems generating positive feedback.
- You have a solid understanding of design approaches (and how to best use them).
- You are able to work independently and with your team to deliver software successfully.
- Your work is consistently of a high quality (e.g., secure, testable, maintainable, low-defects, efficient, etc.) and incorporates best practices. Your team trusts your work.
- Your code reviews tend to be rapid and uneventful. You provide useful code reviews for changes submitted by others.
- You focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve your team’s software, making it better and easier to maintain.
- You make improvements to your team’s development and testing processes.
- You have established good working relationships with peers. You recognize discordant views and take part in constructive dialogue to resolve them.
- Train new team-mates about your customers, what your team’s software does, how it is constructed, tested, operates, and how it fits into the bigger picture.
- Design and build automation to help address operational needs and customer asks.
- Design and customize service features to support use cases for US government customers and commercial stakeholders.
- Participate in region build and operational activities when required.
- Participate in an on-call rotation.
A day in the life
Engineers in this role will work on automation, development, and operations to support AWS machine learning services for US government customers. They will work in an agile environment, attend daily standup, and collaborate closely with teammates. They will work on exciting challenges at scale and tackle unsolved problems.
About the team
The AWS AI/ML Amazon Dedicated Cloud team is a devops team focused on supporting US government customers by delivering, supporting and customizing AWS AI/ML commercial services for our customers use cases. We strongly believe in automating our operations, continuously improving our processes, and always insisting on the highest standards.
We are open to hiring candidates to work out of one of the following locations:
Herndon, VA, USA