Senior Cloud Platform Lead, Senior Manager

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience.

Meaningful work you'll be a part of

We are seeking a highly experienced Senior Cloud Platform Developer to join our team. The ideal candidate will have extensive experience with Kubernetes and managed cloud-based Kubernetes offerings (AKS, EKS, GKE). They should also have proficiency with Platform as a Service (PaaS) solutions like Google Cloud Functions and Amazon Lambda.

The candidate must have a robust background in networking, particularly in hybrid and multi-cloud environments, with a strong focus on network security best practices. Hands-on experience with popular cloud-native or SaaS CI/CD solutions, solid understanding of authentication and authorization fundamentals, proficiency in infrastructure as code with a strong preference towards Hashicorp Terraform, and secret management experience are essential for this role.

The skill, experience and knowledge that you'll bring:

• Design, deploy, and optimize/troubleshoot Kubernetes clusters using managed cloud-based Kubernetes offerings (AKS, EKS, GKE) for our clients.
• Implement and recommend serverless applications using PaaS solutions such as Google Cloud Functions and Amazon Lambda.
• Architect and manage hybrid and multi-cloud networking solutions, ensuring secure and efficient connectivity.
• Implement and manage network security measures including Cloud VPNs, security groups, and firewalls, adhering to best practices.
• Develop and maintain CI/CD pipelines using cloud-native or SaaS CI/CD solutions such as Argo Workflows, GitLab CI, and GitHub Actions.
• Recommend and implement authentication and authorization strategies using common cloud patterns (e.g. SSO, OAuth, OIDC, service accounts, IAM, etc.).
• Utilize infrastructure as code tools (i.e. Terraform) to automate and manage cloud resources.
• Manage secrets using tools like Hashicorp Vault, Google Secret Manager, and Azure KeyVault.
• Collaborate with clients to understand their cloud infrastructure needs and provide tailored solutions that meet their business goals.
• Provide technical guidance and mentorship to junior engineers and other team members.
• Stay current with industry trends and emerging technologies to ensure our solutions remain innovative and effective.
  
  

Experiences And Skills You’ll Use To Solve

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Cloud Engineer or similar role, with experience in creating and recommending solution architectures and designs.
• Strong expertise in Kubernetes and managed cloud-based Kubernetes offerings (AKS, EKS, GKE).
• Experience with PaaS solutions such as Google Cloud Functions and Amazon Lambda.
• Solid networking experience, particularly in hybrid and multi-cloud environments, with a strong focus on network security best practices.
• Hands-on experience with cloud-native or SaaS CI/CD solutions such as Argo Workflows, GitLab CI, and GitHub Actions.
• Strong understanding of authentication (SSO, OAuth, service accounts) and authorization (IAM, RBAC) fundamentals.
• Proficiency in infrastructure as code, with a strong preference towards Hashicorp Terraform.
• Hands-on experience with secret management tools such as Hashicorp Vault, Google Secret Manager, and Azure KeyVault.
  
  

Preferred Qualifications:

• Certifications in relevant cloud technologies (e.g., AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, CKAD).
• Ability to obtain Government of Canada Security Clearance; Level 2 security clearance is an asset.
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana).
  
  

This position ensures continuity and upholds our standards of excellence following the departure of a valued team member.

The salary range for this position is $173,200 - $223,200. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Why you’ll love PwC

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.

The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html). 766941WD