Experienced Remote Software Engineer – Deep Learning and Cloud Application Development for Amazon Web Services
Introduction to Amazon Web Services and Our Mission
At Amazon Web Services (AWS), we are driven by a passion for innovation and a commitment to excellence. As a leader in cloud computing, we are constantly seeking talented individuals to join our team and help us build the future of technology. Our mission is to enable businesses and individuals to harness the power of the cloud, and we are dedicated to providing the tools, services, and support needed to succeed in this rapidly evolving landscape. As a remote software engineer on our Inferentia-accelerated Deep Learning Team, you will play a critical role in helping us achieve this mission and drive the development of cutting-edge deep learning technologies.
About the Role and Responsibilities
We are seeking an experienced software engineer to join our team and contribute to the development of highly visible, robust automation tools and solutions. As a key member of our team, you will be responsible for working backwards from customer needs to identify the right sets of tools to build and achieve the best quality and customer experience. Your responsibilities will include:
Driving test automation efforts for critical and complex technical projects spanning multiple teams and Amazon businesses
Designing and coding modules for infrastructure, application, and processes to help build the Machine Learning training and inference platforms
Identifying and driving improvements in test tools, test environments, and reporting mechanisms
Influencing the implementation of the right solutions and collaborating with cross-functional teams to achieve project goals
Building and maintaining strong relationships with customers, stakeholders, and team members to ensure effective communication and collaboration
Essential Qualifications and Skills
To be successful in this role, you will need to possess a strong foundation in software development, testing, and automation. The following qualifications and skills are essential:
2+ years of non-internship professional software development testing experience
1+ years of test automation frameworks and tools building experience
Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
Experience in penetration testing and exploitability-focused vulnerability assessment
Experience in platform-level security mitigations and hardening for Linux and Windows
Preferred Qualifications and Skills
In addition to the essential qualifications, the following skills and experience are preferred:
Knowledge of overall system architecture, scalability, reliability, and performance in a database environment
Experience with security in service-oriented architectures and web services
Familiarity with cloud computing platforms and technologies, including AWS
Experience with machine learning and deep learning frameworks, including TensorFlow, PyTorch, and MXNet
Career Growth and Development Opportunities
At AWS, we are committed to supporting the career growth and development of our employees. As a member of our team, you will have access to a range of opportunities, including:
Mentorship and coaching from experienced engineers and leaders
Training and development programs to help you build new skills and expertise
Opportunities to work on complex and challenging projects that align with your interests and strengths
A culture of innovation and experimentation, where you are encouraged to try new things and learn from your mistakes
Work Environment and Company Culture
At AWS, we pride ourselves on our inclusive and diverse company culture. We believe that a diverse and inclusive workplace is essential to driving innovation and success, and we are committed to creating an environment where everyone feels valued and respected. Our company culture is built around our 14 Leadership Principles, which include:
Customer obsession
Ownership
Invent and simplify
Are right, a lot
Learn and be curious
Hire and develop the best
Insist on the highest standards
Think big
Bias for action
Frugality
Earn trust
Dive deep
Have backbone; disagree and commit
Deliver results
Compensation and Benefits
At AWS, we offer a competitive compensation package that includes a range of benefits, including:
A base salary that reflects the cost of labor across several US geographic markets, ranging from $115,000/year to $223,600/year
Equity, sign-on payments, and other forms of compensation, depending on the position and location
A full range of medical, financial, and other benefits, including health insurance, retirement savings, and paid time off
Access to a range of employee benefits, including flexible working hours, remote work options, and employee discounts
Conclusion and Call to Action
If you are a motivated and experienced software engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. As a member of our Inferentia-accelerated Deep Learning Team, you will have the chance to work on cutting-edge technologies, collaborate with talented engineers and researchers, and contribute to the development of innovative solutions that are changing the world. Don't miss out on this opportunity to join our team and help us build the future of deep learning and cloud computing. Apply today and take the first step towards an exciting and rewarding career with AWS.
Apply Now
At Amazon Web Services (AWS), we are driven by a passion for innovation and a commitment to excellence. As a leader in cloud computing, we are constantly seeking talented individuals to join our team and help us build the future of technology. Our mission is to enable businesses and individuals to harness the power of the cloud, and we are dedicated to providing the tools, services, and support needed to succeed in this rapidly evolving landscape. As a remote software engineer on our Inferentia-accelerated Deep Learning Team, you will play a critical role in helping us achieve this mission and drive the development of cutting-edge deep learning technologies.
About the Role and Responsibilities
We are seeking an experienced software engineer to join our team and contribute to the development of highly visible, robust automation tools and solutions. As a key member of our team, you will be responsible for working backwards from customer needs to identify the right sets of tools to build and achieve the best quality and customer experience. Your responsibilities will include:
Driving test automation efforts for critical and complex technical projects spanning multiple teams and Amazon businesses
Designing and coding modules for infrastructure, application, and processes to help build the Machine Learning training and inference platforms
Identifying and driving improvements in test tools, test environments, and reporting mechanisms
Influencing the implementation of the right solutions and collaborating with cross-functional teams to achieve project goals
Building and maintaining strong relationships with customers, stakeholders, and team members to ensure effective communication and collaboration
Essential Qualifications and Skills
To be successful in this role, you will need to possess a strong foundation in software development, testing, and automation. The following qualifications and skills are essential:
2+ years of non-internship professional software development testing experience
1+ years of test automation frameworks and tools building experience
Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
Experience in penetration testing and exploitability-focused vulnerability assessment
Experience in platform-level security mitigations and hardening for Linux and Windows
Preferred Qualifications and Skills
In addition to the essential qualifications, the following skills and experience are preferred:
Knowledge of overall system architecture, scalability, reliability, and performance in a database environment
Experience with security in service-oriented architectures and web services
Familiarity with cloud computing platforms and technologies, including AWS
Experience with machine learning and deep learning frameworks, including TensorFlow, PyTorch, and MXNet
Career Growth and Development Opportunities
At AWS, we are committed to supporting the career growth and development of our employees. As a member of our team, you will have access to a range of opportunities, including:
Mentorship and coaching from experienced engineers and leaders
Training and development programs to help you build new skills and expertise
Opportunities to work on complex and challenging projects that align with your interests and strengths
A culture of innovation and experimentation, where you are encouraged to try new things and learn from your mistakes
Work Environment and Company Culture
At AWS, we pride ourselves on our inclusive and diverse company culture. We believe that a diverse and inclusive workplace is essential to driving innovation and success, and we are committed to creating an environment where everyone feels valued and respected. Our company culture is built around our 14 Leadership Principles, which include:
Customer obsession
Ownership
Invent and simplify
Are right, a lot
Learn and be curious
Hire and develop the best
Insist on the highest standards
Think big
Bias for action
Frugality
Earn trust
Dive deep
Have backbone; disagree and commit
Deliver results
Compensation and Benefits
At AWS, we offer a competitive compensation package that includes a range of benefits, including:
A base salary that reflects the cost of labor across several US geographic markets, ranging from $115,000/year to $223,600/year
Equity, sign-on payments, and other forms of compensation, depending on the position and location
A full range of medical, financial, and other benefits, including health insurance, retirement savings, and paid time off
Access to a range of employee benefits, including flexible working hours, remote work options, and employee discounts
Conclusion and Call to Action
If you are a motivated and experienced software engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. As a member of our Inferentia-accelerated Deep Learning Team, you will have the chance to work on cutting-edge technologies, collaborate with talented engineers and researchers, and contribute to the development of innovative solutions that are changing the world. Don't miss out on this opportunity to join our team and help us build the future of deep learning and cloud computing. Apply today and take the first step towards an exciting and rewarding career with AWS.
Apply Now