Amazon Data Services, Inc.

Operations, IT, Support Engineering, Data Center Operations, Cloud Computing

DataCenterManager(NightShift)

$78–137k Louisa, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Data Center Manager (Night Shift) at Amazon Data Services, Inc.. Skills: People management, Operations management, Data center operations. Prioritize and assign trouble tickets. Review ticket queue for large events”

What You'll Achieve.

Meet industry best practices; Meet required SLAs; Ensure appropriate staffing levels

Industry & Context.

Operations, IT, Support Engineering, Data Center Operations, Cloud Computing
Problems you'll solve

Troubleshooting

Eligibility Requirements

Night shift schedule, Travel required, US citizen, Maintain TS/SCI clearance, Obtain TS/SCI clearance, Security clearance polygraph

What They're Looking For.

Must Have

2+ years people management, 3+ years IT experience, 2+ years operations and on-call support, Work permanent night shift, Active US Top Secret clearance

Nice to Have

Experience in project management, 1+ years data center experience, Experience with project management, Analytical skills, Attention to detail, Effective communication abilities

What You'll Do.

Prioritize and assign trouble tickets

Review ticket queue for large events

Coordinate change management resources

Guide data staff on best practices

Train data staff on best practices

Manage mid-size projects

Deliver mid-size projects

Recommend policies and procedures

Document policies and procedures

Oversee policies and procedures

Manage diverse team of technicians

Provide weekly report

Maintain on-call schedule

Coordinate absence and vacations

Recruit data technicians

Train data technicians

Host weekly staff meetings

Write performance reviews

Deliver performance reviews

How You'll Work.

Team & Collaboration

Cross-functional teams; AWS teams

Communication Scope

Weekly reporting; Staff meetings

Process & Methodology

Project management, Program management

Full Job Description

We are currently expanding our infrastructure management team and are looking for proven technology managers with experience in people management, strong technical understanding and the drive and vision to take Amazon.com Data Center Operations to the next level. The successful candidate will have experience managing people with varying skillsets, devising strategies, mentoring people in all levels, sponsoring projects, and proposing technical solutions. The successful candidate will be operationally responsible for several of Amazon.com's Data Centers during the Overnight Shift (9pm - 7am). This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements. This position requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities - Prioritize and assign trouble tickets to data center technicians and operators - Routinely review ticket queue for large events and address accordingly - Coordinate change management resources - Guide, train and educate data staff on the best practices related to all service owner issues - Manage and deliver mid-size projects - Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs - Manage a diverse team of data technicians with

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