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PwC Canada

Senior Cloud Platform Lead, Senior Manager

Ottawa, ON, Canada

The salary range for this position is $173,200 - $223,200. · Full-time

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Job details

Pay: The salary range for this position is $173,200 - $223,200.
Job type: Full-time
Apply by: Nov 15, 2026
Posting language: English
Posted: Oct 16, 2026

Original job description

Line of Service
Advisory

Industry/Sector
Technology

Specialism
Technology Strategy

Management Level
Senior Manager

Job Description & Summary
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.

Those in DevSecOps at PwC will focus on minimising software threats by integrating development, operations and security industry leading practices in order to validate secure, consistent and efficient delivery of software and applications. You will work to bridge the gap between these teams for seamless and secure application and software development.

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.

Required Skills

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Ansible (Open-Source Tool for Software Provisioning, Configuring, and Deployment), AWS CloudFormation, Azure DevOps Server, Bicep, Cloud Infrastructure, Coaching and Feedback, Communication, Continuous Deployment, Continuous Integration (CI), Creativity, CrowdStrike, Cybersecurity, Deployment Management, Digital Tooling, Dynatrace APM, Embracing Change, Emotional Regulation, Empathy, GitHub (Version Control Platform) {+ 42 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date

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).

Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.

L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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More about this job

Responsibilities

Design, deploy, and optimize managed Kubernetes platforms, serverless applications, and secure hybrid or multi-cloud networks for clients. Build CI/CD pipelines and automate cloud resources, manage identity and secrets, and provide technical guidance to team members.

Requirements

A bachelor's or master's degree in computer science, engineering, or a related field is required, along with proven cloud engineering experience and strong expertise in Kubernetes, networking, CI/CD, identity and access management, Terraform, and secrets management. Relevant cloud or Kubernetes certifications and familiarity with Prometheus or Grafana are preferred; the ability to obtain Government of Canada security clearance is also noted.

Skills

Kubernetes
Cloud Platform Engineering
Hybrid And Multi-Cloud Networking
Network Security
Serverless Computing
CI/CD
Authentication And Authorization
Infrastructure As Code
Terraform
Secrets Management
Cloud Architecture
Technical Mentorship
Troubleshooting
Prometheus
Grafana
Client Collaboration

Benefits

Inclusive Benefits
Flexibility Programs
Variable Incentive Pay

Visa sponsorship

Not detected in the job text

Keywords

Kubernetes
AKS
EKS
GKE
Google Cloud Functions
Amazon Lambda
Serverless Computing
Hybrid Cloud
Multi-Cloud
Cloud Networking
Cloud VPN
Security Groups
Firewalls
Argo Workflows
GitLab CI
GitHub Actions
CI/CD
SSO
OAuth
OIDC
IAM
RBAC
Terraform
HashiCorp Vault
Google Secret Manager
Azure Key Vault
Google Cloud Professional Cloud Architect
CKAD
Prometheus

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