AWS Cloud Engineer

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Manager

Job Description & Summary

Our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in machine learning ops engineering will focus on developing and implementing operational processes and infrastructure to support machine learning models and algorithms. Your work will involve enabling the smooth deployment and maintenance of machine learning systems within an organisation.

Meaningful work you'll do

As a seasoned Cloud Engineer you will join our Cloud Engineering team. This hybrid role combines deep technical hands-on cloud engineering expertise with strategic cloud architecture leadership. You will be responsible for designing, implementing, and optimizing scalable, secure, and highly available cloud solutions that support our clients’ digital modernization and transformation agendas.

The ideal candidate is passionate about cloud-native technologies, proficient in AWS services, and experienced in both infrastructure implementation and enterprise-level cloud solution architecture, guiding cross-functional teams and clients through complex cloud adoption frameworks.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Lead the design and governance of end-to-end cloud architectures aligned with business objectives and industry best practices.
• Develop scalable, secure, and cost-efficient cloud solution blueprints incorporating compute, storage, networking, security, and application services on AWS.
• Drive cloud adoption strategy by assessing existing infrastructure, developing migration roadmaps, and recommending modernization initiatives.
• Collaborate with enterprise architects, security teams, and business stakeholders to ensure cloud architecture meets compliance, governance, and risk mitigation requirements.
• Define architecture standards, frameworks, and automation practices to enforce consistency and reliability across multiple projects.
• Evaluate emerging AWS technologies and tools to continuously innovate cloud offerings and address evolving client needs.
• Design, build, and deploy cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or AWS CDK.
• Architect, manage, and optimize Kubernetes clusters leveraging AWS EKS to ensure high availability, scalability, and operational excellence.
• Build and maintain compute environments using AWS EC2, Lambda, Batch, Fargate, and ECS services.
• Implement and automate CI/CD pipelines for cloud-native and containerized applications and infrastructure provisioning.
• Monitor cloud environments; troubleshoot and resolve performance, security, and cost optimization issues.
• Implement rigorous security controls, ensure compliance with client policies, including IAM policies, network segmentation, logging, and auditing.
• Provide technical leadership and mentorship to cross-functional teams on cloud best practices, tools, and architectures.
• Produce detailed technical documentation and cloud architecture artifacts to support client engagements and internal knowledge sharing.

Experience and skills you'll use

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
• Extensive hands-on experience in AWS cloud architecture and engineering, demonstrating proven success in large-scale cloud projects.
• Expert knowledge of Kubernetes orchestration and containerization technologies; strong experience with AWS EKS and ECS.
• Strong background in AWS compute services including EC2, Lambda, Fargate, Batch, with knowledge of HPC and AWS Outposts a plus.
• Hands-on experience in Infrastructure as Code tooling: Terraform, CloudFormation, or AWS CDK.
• Solid hands-on working experience with CI/CD pipelines and automation using tools such as Jenkins, GitLab CI, Harness, AWS CodePipeline, or GitHub Actions.
• Strong understanding of cloud security fundamentals including IAM, security groups, network ACLs, encryption, and compliance.
• Strong preference - Proficient scripting skills with Python, Bash, or similar languages.
• Strong analytical and problem-solving skills, with excellent verbal and written communication suited to consulting environments.

Preferred Certifications

• AWS Certified Solutions Architect – Associate or Professional
• Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD)
• Terraform Certified Associate

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

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.

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

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Automation, Cloud Infrastructure, Coaching and Feedback, Communication, Continuous Integration/Continuous Delivery (CI/CD), Creativity, Data Model Testing, Data Pipeline, Design of Experiments, DevOps Practices, Dialectology, Embracing Change, Emotional Regulation, Empathy, Factor Analysis, Git Version Control System, Image Recognition Algorithms, Inclusion, Infrastructure Architecture, Intellectual Curiosity {+ 23 more}

Optional Skills

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