Data Center Engineering Operations Facility Manager, Data Center InfraOps
Amazon is hiring a Data Center Engineering Operations Facility Manager, Data Center InfraOps. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
The Facility Data Center Engineering Manager, will be responsible for data center engineering operations across the Amazon Data Center availability zone, managing a team of engineers responsible for the 100% availability of mechanical and electrical services, including risk management and mitigation, corrective and preventative maintenance of critical infrastructure We encounter interesting, challenging & complex problems every day, being a technical manager in Amazon means that you can innovate to solve these issues and help drive Operations Excellence in all areas of your role.
Your day job will include (but not limited to):
· Managing and developing teams of engineers that are working on 24/7 shifts, providing both technical and leadership expertise and ensuring highest levels of performance.
· Maintaining existing co-located and in-house Data Centers
· Helping build and bring online new Data Centers
· Constantly improving all our processes and procedures. We believe there is nothing we cannot improve
· Assisting & managing relationships with external vendors & contractors
· Liaising with internal teams & management groups
· Ensuring we adhere to and exceed local Health & Safety standards in all our Data Centers
· Creating and maintaining metrics on all aspects of our Data Centers and utilizing those metrics to drive positive changes
· Assisting in implementing service methodologies including incident management, problem management, change management, capacity management, etc.
Please send you CV in English.
Basic qualifications
- Experience Required: · An engineering degree or equivalent · 5+ years of relevant engineering experience managing large scale services · At least 3 years building strong, successful technical teams in a similar culture · High degree of organization and detail-orientation · Excellent written and verbal communications skills · Proven track record of success in delivering complex projects · Prior ownership of the operation of a mission-critical team and/or product · Ability to consistently deliver results despite competing priorities and distractions
Preferred qualifications
- Prior ownership of the operation of a mission-critical team and/or product Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We value your passion to discover, invent, simplify and build.
Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.
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.
How we rate this
Data Center Engineering Operations Facility Manager, Data Center InfraOps at Amazon rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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