System Development Engineer II, AI/ML ADC
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 deeply into technical issues and work diligently to improve the customer experience. The ideal candidate will...
- Be great fun to work with. Our company credo is "Work hard. Have fun. Make history". The right candidate will love what they do and instinctively know how to make work fun.
- 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 its 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.
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.
- They will support the U.S. Intelligence Community and Defense agencies to implement innovative cloud computing solutions and solve unique technical problems.
About the team
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Denver, CO, USA | Seattle, WA, 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 deeply into technical issues and work diligently to improve the customer experience. The ideal candidate will...
- Be great fun to work with. Our company credo is "Work hard. Have fun. Make history". The right candidate will love what they do and instinctively know how to make work fun.
- 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 its 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.
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.
- They will support the U.S. Intelligence Community and Defense agencies to implement innovative cloud computing solutions and solve unique technical problems.
About the team
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Denver, CO, USA | Seattle, WA, USA
Basic Qualifications
- 2+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Bachelor's degree in computer science or equivalent
- Current, active US Government Security Clearance of TS/SCI with Polygraph.
Preferred Qualifications
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience working in an Agile environment using the Scrum methodology
- Experience with CI/CD pipelines build processes
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $103,400/year in our lowest geographic market up to $201,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
- Experience working in an Agile environment using the Scrum methodology
- Experience with CI/CD pipelines build processes
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $103,400/year in our lowest geographic market up to $201,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Related Jobs
Suki
Director, Machine Learning
- ML (Machine Learning)
- Full Time
- asr
- engineering
- gcp
- golang
- graphql
- javascript
- kubernetes
- machine learning
- nlp
- pipelines
Unlearn
Machine Learning Internship Summer 2024
- ML (Machine Learning)
- Full Time
- computer science
- generative ai
- generative modeling
- machine learning
- ml models
- numpy
- pandas
- python
- pytorch
EarnIn
Senior Machine Learning Engineer
- ML (Machine Learning)
- Full Time
- computer science
- data pipelines
- deep learning
- devops
- engineering
- fintech
- machine learning
- ml models
- nlp
Land your dream job
Get a weekly email with the latest startup jobs.