Amazon Development Center U.S., Inc.
Cloud Computing
SoftwareDevelopmentManager,ElasticBlockStore(EBS),CapacityOptimization
Neural analysis suggests this role is
optimal for Manager candidates.
“Software Development Manager, Elastic Block Store (EBS), Capacity Optimization at Amazon Development Center U.S., Inc.. Skills: Capacity Optimization, AI/ML, Fleet Management. Lead optimization of cloud fleets. Lead development and operations of software services”
What You'll Achieve.
Improve availability; Push cost efficiencies; Meet demand growth; Impact AWS expansion; Ensure optimal operation; Improve capacity models; Ensure team capability growth; Maximize team success; Deliver results for customers; Mitigate capacity constraint impact; Enable seamless scaling; Enable cost-effective scaling
Industry & Context.
Root cause analysis; Troubleshooting; Mitigate impact; Define solutions; Implement solutions; Optimize capacity; Balance constraints
What They're Looking For.
Must Have
3+ years engineering team management, 7+ years working within engineering teams, 3+ years designing or architecting systems, 7+ years leading multi tier web services development, Knowledge of engineering practices and patterns, Experience partnering with product management
Nice to Have
Experience communicating with users, Experience recruiting, hiring, mentoring engineers, Experience delivering products against plan, Experience in many disparate technologies
What You'll Do.
Lead optimization of cloud fleets
Lead development and operations of software services
Predict future demand
Drive orders for additional servers
Push boundaries of cost efficiencies
Create and optimize global capacity
Create and optimize regional capacity
Invent capacity forecasting platform
Invent capacity planning platform
Build software models
Build mathematical optimization models
Balance service constraints
Balance infrastructure constraints
Balance financial constraints
Balance business constraints
Introduce machine learning models
Automate capacity planning
Automate capacity purchase
Work across AWS organizations
Work across business teams
Power AWS cloud growth
Power customer product growth
Ensure optimal operation of fleet
Impact exabytes of storage
Impact gigawatts of power
Manage data center capacity
Ensure efficient resource use
Anticipate capacity needs
Improve capacity models
Build high-performing team
Own career development
Ensure team capability growth
Maximize team success
Ensure team vision clarity
Ensure team priorities clarity
Ensure team roadmap clarity
Use key performance metrics
Track key performance metrics
Develop key performance metrics
Balance near-term needs
Balance long-term initiatives
Write clear documents
Write concise documents
Communicate proposals
Communicate status updates
Develop business data
Develop technical data
Analyze business data
Analyze technical data
Analyze what-if scenarios
Drive executive decision-making
Steer technical decisions
Guide technical investments
Raise bar on technical designs
Partner with senior engineers
Partner with principal engineers
Optimize capacity planning
Lead daily team meetings
Create agile environment
Ensure engineer clarity
Deliver results for customers
Mitigate capacity constraint impact
Identify capacity issues proactively
Develop cross-functional relationships
Maintain cross-functional relationships
Participate in leadership discussions
Drive org prioritization
Guide technical architecture decisions
Interface with stakeholders
Interface with senior leaders
Review capacity plans
Author technical documents
Edit technical documents
Review technical documents
Author product documents
Edit product documents
Review product documents
Author business documents
Edit business documents
Review business documents
Own software system optimization
Enable seamless scaling
Enable cost-effective scaling
Meet growing customer demand
How You'll Work.
Team & Collaboration
Cross-functional partners; Technical teams; Business teams; Senior leaders; Product teams; Finance teams
Communication Scope
Write documents; Communicate vision; Communicate proposals; Communicate plans; Communicate status updates; Executive decision-making; Technical writing; Product writing; Business writing
Process & Methodology
Agile, Roadmap planning
Full Job Description
Join Amazon Web Services (AWS) and lead the optimization of one of the world's largest cloud fleets. We are seeking a software development manager for the Elastic Block Store (EBS) Capacity Engineering team to lead a group of engineers focused on optimizing the fleet of servers powering some of the world's largest websites and cloud services. EBS is the solid state drive for the Internet, storing exabytes of data for millions of customers. You will lead the development and operations of software services that predict future demand and drive orders for additional servers in each AWS data center in the world. We continue to optimize capacity to improve the availability of EBS for all customers and push boundaries of cost efficiencies at massive scale, and we want you to own that charter! In this role, you will lead, coach, and grow a team of engineers responsible for creating and optimizing global and regional capacity. The team you will lead is in the process of inventing a new capacity forecasting and planning platform for EBS. This involves building software and mathematical optimization models to balance service, infrastructure, financial, and business constraints. EBS is rapidly expanding to meet the growing data usage by AWS customers, accelerated by the exponential growth of AI workloads. You will lead your team to introduce new machine learning models, algorithms, and agents to automate how we plan and purchase capacity to meet this demand growth. As a result, your work will directly impact AWS’s expansion. You will have the opportunity to work across AWS organizations and business teams to power the rapid growth of the AWS cloud and our customers’ products. Your role will ensure optimal operation of our fleet, impacting exabytes of storage and gigawatts of power. Managing capacity in data centers to avoid outages while ensuring efficient resource use is challenging, and Amazon has developed sophisticated models to anticipate how much and when capacity is need
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