Associate / Senior Associate - Cloud Engineer

PwC; Zürich; Vor Ort; CHF 110.000 - 170.000; Vollzeit

Zusammenfassung

PwC in Zürich is seeking a Manager-level professional to drive cloud transformation initiatives within Advisory, Data, Analytics & AI, collaborating with IT, engineering and business leaders across industries. You will shape cloud strategies, architect scalable solutions, and lead hands-on deployment including IaC, CI/CD, and automation.

You will champion cloud landing zones, DevSecOps, and platform engineering to accelerate client cloud adoption, while staying current with CAF/WAF best

Qualifikationen

• Hold a degree (bachelor / master / diploma) in computer science, information technology, engineering, or a related discipline.
• Possess work experience in cloud engineering, infrastructure management, DevOps, or system architecture (including relevant project work or thesis).
• Hands-on experience and certified in one or more major cloud platforms- Microsoft Azure is preferred, while experience with AWS or Google Cloud is also valuable.
• Practical experience with Infrastructure-as-Code (e.g. Terraform, Bicep, ARM), CI/CD tooling (e.g. Azure DevOps, GitHub Actions, GitLab), and scripting/programming languages (e.g. PowerShell, Python, Bash).
• Familiarity with containerization and orchestration (Docker, Kubernetes / AKS), cloud networking, identity (Entra ID), and cloud security fundamentals.
• Exposure to Microsoft's Cloud Adoption Framework (CAF), Well-Architected Framework (WAF) is a plus.
• Interest in adjacent topics such as AI/GenAI on cloud, FinOps, or data platforms is welcome.
• Detail-oriented, strong problem-solving abilities, with excellent interpersonal, listening, and communication skills. Proactive and enthusiastic about fostering value and innovation for clients.
• You are fluent in English (German is a big plus) and are willing to travel within Switzerland, and occasionally also internationally.

Aufgaben

• Collaborate with a high-impact team to deliver cloud transformation projects and engage with stakeholders from IT, engineering, and business at renowned clients across various industries.
• Enable clients to leverage cloud technologies by proposing and developing the most suitable cloud-based solutions tailored to clients' needs.
• Drive digitization initiatives by designing and implementing scalable, secure, and resilient cloud infrastructures and solutions.
• Engage in projects involving the hands‑on technical development of end-to-end cloud engineering, Infrastructure-as-Code, integrations, CI/CD pipelines, and automation processes.
• Contribute to the implementation of cloud landing zones, DevSecOps practices, and platform engineering initiatives that accelerate client adoption of the cloud at scale.
• Challenge the status quo, procure necessary information, and devise creative and efficient solutions.
• Apply and continuously update your knowledge on best practices in cloud technology (DevOps, SRE, Platform Engineering), engineering methodologies, consulting strategies, and actively share knowledge within the team.

Kenntnisse

Cloud engineering

DevOps

Communication

Travel willingness

Cloud architecture

Tools

Terraform

Azure

Azure DevOps

GitHub Actions

Jobbeschreibung

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

Your impact

Collaborate with a high-impact team to deliver cloud transformation projects and engage with stakeholders from IT, engineering, and business at renowned clients across various industries such as Technology, Financial Services, Retail & Consumer, Healthcare, and Government Services. Enable clients to leverage cloud technologies by proposing and developing the most suitable cloud-based solutions tailored to clients' needs. Drive digitization initiatives by designing and implementing scalable, secure, and resilient cloud infrastructures and solutions. Engage in projects involving the hands‑on technical development of end-to-end cloud engineering, Infrastructure-as-Code, integrations, CI/CD pipelines, and automation processes. Contribute to the implementation of cloud landing zones, DevSecOps practices, and platform engineering initiatives that accelerate client adoption of the cloud at scale. Challenge the status quo, procure necessary information, and devise creative and efficient solutions. Apply and continuously update your knowledge on best practices in cloud technology (DevOps, SRE, Platform Engineering), engineering methodologies, consulting strategies, and actively share knowledge within the team.

Your skill set

• Hold a degree (bachelor / master / diploma) in computer science, information technology, engineering, or a related discipline.
• Possess work experience in cloud engineering, infrastructure management, DevOps, or system architecture (including relevant project work or thesis).
• Hands-on experience and certified in one or more major cloud platforms- Microsoft Azure is preferred, while experience with AWS or Google Cloud is also valuable.
• Practical experience with Infrastructure-as-Code (e.g. Terraform, Bicep, ARM), CI/CD tooling (e.g. Azure DevOps, GitHub Actions, GitLab), and scripting/programming languages (e.g. PowerShell, Python, Bash).
• Familiarity with containerization and orchestration (Docker, Kubernetes / AKS), cloud networking, identity (Entra ID), and cloud security fundamentals.
• Exposure to Microsoft's Cloud Adoption Framework (CAF), Well-Architected Framework (WAF) is a plus.
• Interest in adjacent topics such as AI/GenAI on cloud, FinOps, or data platforms is welcome.
• Detail-oriented, strong problem-solving abilities, with excellent interpersonal, listening, and communication skills. Proactive and enthusiastic about fostering value and innovation for clients.
• You are fluent in English (German is a big plus) and are willing to travel within Switzerland, and occasionally also internationally.

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
• Algorithm Development
• Alteryx (Automation Platform)
• Analytical Thinking
• Analytic Research
• Big Data
• Business Data Analytics
• Coaching and Feedback
• Communication
• Complex Data Analysis
• Conducting Research
• Creativity
• Customer Analysis
• Customer Needs Analysis
• Dashboard Creation
• Data Analysis
• Data Analysis Software
• Data Collection
• Data-Driven Insights
• Data Integration
• Data Integrity
• Data Mining
• Data Modeling {+ 43 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date