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Systems Development Manager, AI/ML Amazon Dedicated Cloud (ADC) Jobs

DESCRIPTIONThe 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.10012Key job responsibilitiesYou 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 lifeAs 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 teamWhy AWSAmazon 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 CultureHere 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 BalanceWe 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 GrowthWe'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 ExperiencesAmazon 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 abovePREFERRED 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 skillsAmazon 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.

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What You Should Know About Systems Development Manager, AI/ML Amazon Dedicated Cloud (ADC) Jobs, Amazon

Looking for a thrilling challenge where you can innovate in the realm of artificial intelligence and machine learning? Join the incredible team at Amazon in Columbia, MD, as a Systems Development Manager for AI/ML with the Amazon Dedicated Cloud (ADC)! Here, you're not just managing a team; you're leading a revolution in delivering cutting-edge AI/ML solutions in isolated, air-gapped cloud environments. This role combines the excitement of pioneering technology with the responsibility of managing robust systems designed for government customers with high-security requirements. You'll work closely with talented engineers to refine systems, tackle technical issues, and optimize customer experiences with Generative AI services. Imagine being part of a culture that marries challenging work with fun—our mantra is simple: work hard, have fun, and make history! You'll need strong DevOps skills, love problem-solving, and be ready to think big as you inspire and guide your team to overcome complex challenges. With your expertise in system design and a track record of mentoring talent, you'll ensure your team's success while contributing to AWS's mission to foster diversity, inclusion, and work-life balance. If this sounds like the right fit for you, we would love to hear from you!

Frequently Asked Questions (FAQs) for Systems Development Manager, AI/ML Amazon Dedicated Cloud (ADC) Jobs Role at Amazon
What are the key responsibilities of a Systems Development Manager in AI/ML at Amazon?

As a Systems Development Manager for AI/ML at Amazon, you will lead a talented engineering team in developing and operating AWS AI/ML services. Your key responsibilities include troubleshooting technical issues, improving operational processes, mentoring team members, and defining strategies for engineering solutions across air-gapped cloud environments. You’ll also engage with customers to understand and meet their unique needs.

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What qualifications are necessary to apply for the Systems Development Manager position at Amazon?

To qualify for the Systems Development Manager position at Amazon, candidates should hold a Bachelor's degree or be CSSLP certified. Additionally, candidates need at least 5 years of Software Development or Systems experience, including 3 years in talent management and team leadership in a DevOps environment. An active US Government Security Clearance of Top Secret or above is also required.

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What skills are essential for success as a Systems Development Manager at Amazon?

Success as a Systems Development Manager in AI/ML at Amazon hinges on strong DevOps skills, experience in large-scale distributed environments, and an ability to lead teams in solving complex technical challenges. Excellent communication skills, the ability to foster inclusive team culture, and a focus on mentorship are also key ingredients for success in this role.

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How does Amazon support career growth for Systems Development Managers in AI/ML?

Amazon places a high value on mentorship and career growth for Systems Development Managers in AI/ML. The company offers extensive learning opportunities, employee-led affinity groups focused on diversity, and a culture that promotes continual professional development. You'll have access to resources and guidance to help elevate your career within the organization.

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What is the work culture like for a Systems Development Manager in AI/ML at Amazon?

The work culture for a Systems Development Manager in AI/ML at Amazon is dynamic and inclusive. The team emphasizes a healthy work-life balance while encouraging innovation and collaboration. Employees enjoy flexibility in their roles and are nurtured in a culture that values diversity, curiosity, and ongoing learning.

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Common Interview Questions for Systems Development Manager, AI/ML Amazon Dedicated Cloud (ADC) Jobs
Can you describe your experience with AI/ML technologies relevant to this role as a Systems Development Manager?

When answering this question, share specific examples of AI/ML projects you've worked on, detailing your role and the impact of your work. Highlight your understanding of cloud infrastructure and how you have applied AI/ML solutions across scalable environments.

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How do you handle complex technical issues within a team?

To address this question, describe a particular challenging technical problem you faced and the systematic approach you took to resolve it. Discuss how you involved your team, facilitated communication, and drove a solution focused on customer satisfaction.

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What strategies do you use to mentor and develop your engineering team?

Discuss specific mentoring strategies you've employed, such as conducting regular one-on-one meetings, providing constructive feedback, and promoting continuous learning through hands-on projects and training sessions. You may also want to mention the importance of creating a safe space for your team to express ideas and feedback.

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How do you prioritize tasks and manage projects in a fast-paced environment?

This question allows you to showcase your organizational skills. Discuss your methods for prioritizing tasks, such as backlog grooming, and how you adapt to changing priorities while ensuring your team remains focused on critical project deliverables.

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Can you give an example of how you foster a diverse and inclusive team culture?

Provide an example that illustrates how you've actively promoted diversity and inclusion within your teams, whether through hiring practices, creating a culture of respect, or supporting team members from various backgrounds to share their perspectives and contribute.

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What metrics do you find most useful in measuring engineering team performance?

Your answer should focus on metrics that reflect both individual and team performance. Consider discussing metrics like code quality, deployment success rates, and operational efficiency. Emphasize how data-driven insights lead to improved performance and customer satisfaction.

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In what ways do you ensure the team meets customer demands while working on innovative solutions?

You might discuss your approach to maintaining open communication with stakeholders, regularly collecting feedback, and balancing ongoing innovation efforts with core operational stability to ensure customer needs are always prioritized.

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What experience do you have in managing government security compliance?

Touch on any relevant experience you have with security compliance, especially in relation to working with sensitive government projects that operate within strict security guidelines. Describe your understanding of the necessary security clearances and protocols related to these projects.

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How do you handle conflicts within the team?

Provide insights into your conflict resolution strategies, emphasizing the importance of facilitating open discussions and finding common ground. Offer an example of a time you successfully resolved a conflict that improved team dynamics.

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What excites you about working with AI/ML in cloud environments?

Tailor your answer to reflect your passion for technology and innovation. Discuss the fascinating potential of AI/ML to transform industries, enhance operational efficiency, and create value for customers in emerging cloud landscapes.

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Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking.

1857 jobs
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CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Transparent & Candid
Growth & Learning
Fast-Paced
Collaboration over Competition
Take Risks
Friends Outside of Work
Passion for Exploration
Customer-Centric
Reward & Recognition
Feedback Forward
Rapid Growth
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Paternity Leave
Fully Distributed
Flex-Friendly
Some Meals Provided
Snacks
Social Gatherings
Pet Friendly
Company Retreats
Dental Insurance
Life insurance
Health Savings Account (HSA)
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
INDUSTRY
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 21, 2024

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