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Added 1 min ago
Business Development Manager (REQ927)
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Added 11 mins ago
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Added 16 mins ago
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Closed listing

Amazon

Tech Infra Program Manager, DC Power Utilization Management

Arlington, VA, United States
Herndon, VA, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Sep 26, 2026

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Original job description

Archived listing. The details below describe a past opening.

Description

About the Role

Amazon Web Services (AWS) is seeking a Technical Infrastructure Program Manager (TIPM) to join the Power & Utilization Management and Planning (PUMP) team within AWS Infrastructure Services. This role is responsible for driving programs that maximize power capacity, improve position planning accuracy, and accelerate rack deployment across AWS's global fleet of data centers.

What You'll Do

As a TIPM on the PUMP team, you will own sub-workstreams within one or more of the following program areas, working under the guidance of senior TIPMs who hold end-to-end accountability. You will drive execution on defined scopes, remove blockers, coordinate across partner teams, and progressively take on broader ownership as you build domain expertise.

Data Center Position Configuration & Automation

The Soapstone workflow produces three interdependent datasets per build - rack placement on the floor plan, power circuit-to-rack mapping (which determines what whips get physically installed), and network cabling plans (which determine how server racks connect to aggregation racks). These outputs determine what gets physically built: general contractors install whips from them, electrical engineers configure three-phase power equipment at the rack level, and mechanical engineers reference them for downstream work. When this workflow is delayed or incorrect, construction stalls, hardware ships to positions that cannot support it, and capacity delivery slips. You will own sub-workstreams within this pipeline - for example, driving configuration for a set of availability zones, managing the intake and validation process through SLATE (the team's build coordination portal), or accelerating Hamlet automation coverage to new building classes (COLO sites, hybrid floor plans, Room 1 configurations).

Power Reclamation & Infrastructure Upgrades

You will drive specific remediation campaigns that recover stranded power across legacy data centers through electrical upgrades, PDC (Power Distribution Cabinet) deployments, cooling improvements, and breaker-level optimizations. The power distribution landscape is complex: four distinct PDC versions are active in the fleet with different breaker counts and ampacity ratings, whip counts range from 18 to 26 per rack depending on product type, and whip lengths are tracked manually in Excel files rather than any system of record. You will coordinate across Field Remediation Engineering (FRE), Construction Project Implementation (CPI), Colocation Regional Engineering (CRE), and equipment procurement teams to execute physical infrastructure changes on time.

Network & Server Position Planning

You will own sub-workstreams that improve how network and server positions are planned, allocated, and made ready for deployment. A key challenge is that every rack product connects to the network differently - connection protocols vary (RoCE vs. EFA), server-to-switch ratios vary (3:1, 2:1, 1:1), and switch rack generations keep evolving (12.8T, 51.2T, 102.4T Ultra). You will work with Fulfillment Planning (FP), Capacity Delivery Planning (CDP), and Global Network Deployment (GND) on initiatives like the Fungible Network program, which deploys a standard product-agnostic network footprint per ROMP so that product flips no longer require cabling rework. You will use and improve tools like RATS and PRP to increase allocation rates and reduce rejection rates at scale.

Power Data Modeling & Metrics

You will contribute to the development and maintenance of power-related data models, dashboards, and sources of truth that inform executive-level decisions on capacity investment, utilization targets, and demand planning. This includes working with data engineering and BI teams to build QuickSight dashboards, validate Power SOT (Source of Truth) data, and support Monthly and Weekly Business Reviews.

Utility Power Management

You will support programs that optimize utility power utilization to meet contractual obligations and avoid financial penalties. This includes monitoring site-level deployed load against contracted capacity, identifying sites at risk of under-utilization, and coordinating with energy and operations teams to improve utilization rates.

Cross-Functional Stakeholder Management

You will work daily with 10+ partner organizations including CDP, CRE, CPI, FRE, DCEO, GND, Hardware Engineering, ML Planning, AISS Science, and Networking. Success in this role requires the ability to influence without authority, drive accountability across organizational boundaries, and escalate effectively when blockers arise.

About the team

The PUMP team sits at the intersection of data center engineering, supply chain operations, and capacity planning. We own the end-to-end lifecycle of how power is planned, configured, allocated, and utilized across thousands of lineups, hundreds of data centers, and dozens of clusters worldwide. Our decisions directly impact AWS's ability to deliver compute, storage, and machine learning capacity to customers - from core EC2 workloads to the latest GPU-accelerated ML platforms like GB300, VR200, and TRN3Max.

Basic Qualifications

Bachelor's degree in Engineering, Computer Science, or a related technical field
Experience in project management disciplines including scope, schedule, budget, quality, along with risk and critical path management
Experience working with data and leveraging analytics to make decisions
Experience communicating and handling cross-functional programs including project stakeholders, technical program managers, and software development teams

Preferred Qualifications

Experience in data center, networking engineering, systems engineering or construction management with a good understanding of data center technologies such as power, cooling and controls systems
Experience with Tableau, Python, SQB, Quicksight, Cognos or or other BI packages
Knowledge of electrical engineering principles including switchgear, UPS, transformers, and circuit breakers
Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, VA, Arlington - 127,100.00 - 171,900.00 USD annually

USA, VA, Herndon - 127,100.00 - 171,900.00 USD annually

USA, WA, Seattle - 127,100.00 - 171,900.00 USD annually

About employer

More about this job

Skills

AWS
Workflow
Procurement
Data modelling
Data models
Data engineering
Stakeholder management
ML
Supply chain management
Machine learning
Computer science
Project management
Software development
Construction management
Tableau
Python
IBM Cognos
Electrical engineering
Programming languages
R
Ruby
Recruitment
Mental health

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