Systems Development Manager, AI/ML Amazon Dedicated Cloud (ADC) at Amazon Development Center U.S., Inc.
Columbia, MD 21044
About the Job
The AI/ML Amazon Dedicated Cloud (ADC) team is at the forefront of delivering cutting-edge artificial intelligence and machine learning solutions to our customers in isolated, air-gapped cloud environments. We are dedicated to pushing the boundaries of what is possible in this rapidly evolving field, leveraging the power of cloud computing and the latest advancements in AI/ML technologies. With a focus on expanding Generative AI services across air-gapped cloud regions, driving automation investments, and delivering open-source solutions, we are at the forefront of innovation. Our team is committed to enabling customers to harness the full potential of GenAI, empowering them to achieve their objectives with greater efficiency, collaboration, and service utilization.
The AWS AI/ML ADC team is seeking an Engineering Manager who can thing big and simplify solutions to complex problems, all while ensuring our customers continue to have the best experience possible!
A successful Systems Development Manager joining the team will lead a team to work closely with Amazon's largest and most demanding government customers to address their specific needs across a suite of GenAI services in air-gapped cloud environments. They will drive the resolution of 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 DevOps skills. The ideal candidate will have deep experience working with systems in a large scale, distributed environment. You understand networking technology and how servers and networks inter-relate. You are comfortable facilitating deep-dive troubleshooting and leading technical post-mortem discussions to identify the root cause of complex issues.
- Love to solve problems. The ideal candidate will love leading teams to solve difficult technical problems related to AI/ML service builds and operations in air-gapped cloud environments. You have a solid understanding of systems design, operations, automation, and process improvement.
- Think Big. The ideal candidate will lead projects building and deploying solutions across ADC partitions and regions. You will strive build a culture 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. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.
10012
Key job responsibilities
You will provide exceptional leadership for a team of highly talented engineers that build and operate AWS AI/ML services that enable customers to expand their GenAI workloads.
Our engineering teams support services running in air gapped regions that are often isolated from the public internet creating unique engineering challenges and opportunities for innovation. The AI/ML ADC team is responsible for diving deep to resolve operational challenges, innovating to automate operational tasks, supporting execution of various security campaigns (blocked software, host patching), and parity programs.
As a leader you will:
- Hire, motivate, mentor and develop a team of engineers, promoting growth and opportunity
- Define the structure and strategy for the team determining the right mix of engineers and where they need to be allocated to meet the business goals.
- Establish a roadmap and successfully deliver engineering solutions that execute that vision. Your roadmap influences the organizational goals and you are involved in the yearly planning process.
- Provide your team with the necessary support to take responsibility for team systems end-to-end (design, code quality, system health).
- Develop senior engineers promoting growth and opportunities to demonstrate higher level role scope, impact, complexity, and leadership.
- Work cross functionally to foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues.
- Be an operational leader: Take a data driven approach consistently utilizing metrics to measure performance gaps and increase productivity by improving processes at the local level while driving improvements on the global scale.
A day in the life
As an AI/ML ADC manager, your day begins with a team standup to align on priorities and customer needs. You review metrics and strategize on long-term goals while addressing immediate challenges. Throughout the day, you balance recruiting efforts, mentoring team members, and overseeing cross-functional projects. You negotiate priorities with other teams, make data-driven decisions, and communicate with senior stakeholders. Your focus remains on fostering a culture of continuous improvement, empowering your team, and promoting diversity and inclusion, all while ensuring work-life harmony and delivering exceptional support for AI/ML services in air-gapped regions.
About the team
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.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
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.
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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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.
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.
- 5+ years of Software Development or Systems experience, including hands-on development work and object-oriented design.
- 3+ years of proven track record of high-scale hiring and talent management on teams of multiple disciplines/job families.
- Systems engineering experience (e.g., virtualization, hardware design, operating system tuning), experience building scalable infrastructure software or distributed systems
- Current, active US Government Security Clearance of Top Secret or above
- Experience in recruiting, hiring, mentoring/coaching and managing teams of DevOps Engineers
- Excellent written and verbal communication skills
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 $149,700/year in our lowest geographic market up to $258,800/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.
The AWS AI/ML ADC team is seeking an Engineering Manager who can thing big and simplify solutions to complex problems, all while ensuring our customers continue to have the best experience possible!
A successful Systems Development Manager joining the team will lead a team to work closely with Amazon's largest and most demanding government customers to address their specific needs across a suite of GenAI services in air-gapped cloud environments. They will drive the resolution of 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 DevOps skills. The ideal candidate will have deep experience working with systems in a large scale, distributed environment. You understand networking technology and how servers and networks inter-relate. You are comfortable facilitating deep-dive troubleshooting and leading technical post-mortem discussions to identify the root cause of complex issues.
- Love to solve problems. The ideal candidate will love leading teams to solve difficult technical problems related to AI/ML service builds and operations in air-gapped cloud environments. You have a solid understanding of systems design, operations, automation, and process improvement.
- Think Big. The ideal candidate will lead projects building and deploying solutions across ADC partitions and regions. You will strive build a culture 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. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.
10012
Key job responsibilities
You will provide exceptional leadership for a team of highly talented engineers that build and operate AWS AI/ML services that enable customers to expand their GenAI workloads.
Our engineering teams support services running in air gapped regions that are often isolated from the public internet creating unique engineering challenges and opportunities for innovation. The AI/ML ADC team is responsible for diving deep to resolve operational challenges, innovating to automate operational tasks, supporting execution of various security campaigns (blocked software, host patching), and parity programs.
As a leader you will:
- Hire, motivate, mentor and develop a team of engineers, promoting growth and opportunity
- Define the structure and strategy for the team determining the right mix of engineers and where they need to be allocated to meet the business goals.
- Establish a roadmap and successfully deliver engineering solutions that execute that vision. Your roadmap influences the organizational goals and you are involved in the yearly planning process.
- Provide your team with the necessary support to take responsibility for team systems end-to-end (design, code quality, system health).
- Develop senior engineers promoting growth and opportunities to demonstrate higher level role scope, impact, complexity, and leadership.
- Work cross functionally to foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues.
- Be an operational leader: Take a data driven approach consistently utilizing metrics to measure performance gaps and increase productivity by improving processes at the local level while driving improvements on the global scale.
A day in the life
As an AI/ML ADC manager, your day begins with a team standup to align on priorities and customer needs. You review metrics and strategize on long-term goals while addressing immediate challenges. Throughout the day, you balance recruiting efforts, mentoring team members, and overseeing cross-functional projects. You negotiate priorities with other teams, make data-driven decisions, and communicate with senior stakeholders. Your focus remains on fostering a culture of continuous improvement, empowering your team, and promoting diversity and inclusion, all while ensuring work-life harmony and delivering exceptional support for AI/ML services in air-gapped regions.
About the team
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.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
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.
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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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.
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.
BASIC QUALIFICATIONS
- Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional)- 5+ years of Software Development or Systems experience, including hands-on development work and object-oriented design.
- 3+ years of proven track record of high-scale hiring and talent management on teams of multiple disciplines/job families.
- Systems engineering experience (e.g., virtualization, hardware design, operating system tuning), experience building scalable infrastructure software or distributed systems
- Current, active US Government Security Clearance of Top Secret or above
PREFERRED QUALIFICATIONS
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software/system product features, technical designs, and product strategy- Experience in recruiting, hiring, mentoring/coaching and managing teams of DevOps Engineers
- Excellent written and verbal communication skills
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 $149,700/year in our lowest geographic market up to $258,800/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.
