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About the Role

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.

Responsibilities

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.

Requirements

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.
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).

Skills

Kubernetes
AKS
EKS
GKE
Google Cloud Functions
Amazon Lambda
Networking
Hybrid cloud
Multi-cloud environments
Network security
CI/CD solutions
Authentication
Authorization
Infrastructure as Code
Hashicorp Terraform
Secret management
Argo Workflows
GitLab CI
GitHub Actions
SSO
OAuth
OIDC
Service accounts
IAM
Hashicorp Vault
Google Secret Manager
Azure KeyVault
Prometheus
Grafana

Location

Major city centres

Work Type

Full-time

Experience Level

Senior Manager
Senior

Education Level

Bachelor's degree in Computer Science, Engineering, or a related field
Master's degree in Computer Science, Engineering, or a related field

Salary/Compensations

$173,200 - $223,200

Benefits

Variable incentive pay programs
Competitive compensation package
Inclusive benefits
Flexibility programs

About the Company

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations.
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.
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.
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.

Equal Opportunity

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.
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.
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).