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PwC

ETIC, Cloud Infrastructure & Migration Engineer - Manager

PwC is hiring an ETIC, Cloud Infrastructure & Migration Engineer - Manager in Cairo, Egypt. Level rates it ; you can apply on PwC.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions visa sponsorship.
  • Level classes it as a senior role.
  • PwC has 3,700+ other open roles on Level.

AI in this role

Line of Service

Advisory

Industry/Sector

Technology

Specialism

Advisory - Other

Management Level

Manager

Job Description & Summary

We are seeking to recruit a Cloud Migration Engineer to join our team in Cairo. The
successful candidate will have more than 6 years of hands-on experience in cloud and
infrastructure engineering, with a strong focus on migrating servers, databases, and
applications to modern cloud environments.
You will support client transformation programs across the global network of PwC,
collaborating with teams in the UK, Germany, and the Middle East.
This role involves executing cloud migration projects across major cloud providers such as
Amazon Web Services (AWS) and Microsoft Azure, applying best practices to ensure
performance, security, and operational excellence throughout the migration lifecycle.

Key Responsibilities

• Execute cloud migrations for servers, databases, and applications

• Perform lift-and-shift, re-platforming, and selective modernization

• Use migration tools and scripts to move workloads

• Validate migrated workloads for performance, security, and reliability

• Troubleshoot migration issues and optimize post-migration systems

• Document migration steps and outcomes

• Work closely with application and platform teams

• Required Skills & Experience:

• 3–6 years in cloud or infrastructure engineering

• Hands-on experience with AWS or Azure

• Migration tools: Azure Migrate, AWS DMS, CloudEndure

• Windows and Linux administration

• Networking and hybrid connectivity (VPNs, VNET/VPC, routing)

• Scripting: PowerShell, Bash, or Python

• Experience migrating enterprise applications or databases

• Exposure to cloud-native modernization projects

Required Skills & Experience

• 3–6 years of experience in cloud, infrastructure engineering, or systems

administration roles.

• Hands-on experience with at least one major cloud provider:

o Microsoft Azure

o Amazon Web Services (AWS)

• Practical experience with cloud migration tools, including:

o Azure Migrate

o AWS Database Migration Service (DMS)

o CloudEndure

• Strong knowledge of Windows and Linux system administration.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Amazon Web Services (AWS), Analytical Thinking, Apptio, Cloud Administration, Cloud-Based Service Management, Cloud Compliance, Cloud Engineering, Cloud Infrastructure, Cloud Infrastructure Architecture Design, Cloud Infrastructure Optimization, Cloud Migration, Cloud Operations (CloudOps), Cloud Performance Optimization, Cloud Service Delivery, Cloud Strategy, Coaching and Feedback, Communication, Creativity, CrowdStrike, Dynatrace APM, Embracing Change, Emotional Regulation {+ 23 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

0%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

How we rate this

ETIC, Cloud Infrastructure & Migration Engineer - Manager at PwC rates 36 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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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