Senior Platform Engineer

CGI•Canton, MA

1d•Hybrid

About The Position

CGI is seeking a Senior Platform Engineer to support a high impact enterprise cloud modernization initiative for one of our strategic clients. This role is ideal for someone who enjoys solving complex platform challenges across Azure, Azure Red Hat OpenShift, Kubernetes, Terraform, CI/CD automation, and cloud native infrastructure. You'll help design, build, and support secure, scalable cloud solutions, improve deployment automation, strengthen reliability and observability, and partner closely with engineering, architecture, security, and operations teams. This is a hands on technical role with senior level visibility, giving you the opportunity to influence platform best practices, support production deployments, guide cloud engineering improvements, and contribute to a modern, well governed cloud environment through CGI's client delivery model. This position will be performed in Canton, MA, however a hybrid working model is acceptable.

Requirements

5 7 years of related IT experience.
Strong leadership including ability to influence others, work independently and exercise appropriate judgment in decision making.
Proven ability to collaborate with multidisciplinary teams of business analysts, developers, data scientists, and subject matter experts.
Strong verbal and written communication skills and the ability to communicate effectively with management, peers, and the other departments within IT.
Respect for change management, environmental integrity, and process workflow within a relatively new and rapidly maturing organization.
Strong analytical and technical ability including strength in general issue troubleshooting.
Understanding of and experience with the five pillars of a well architected framework.
Ability to quickly learn client's specific processes, topology, tools often with limited documentation.
Technical experience with the following: OS Level Administration (Linux, Windows), IaC Provisioning Tools (Terraform, ARM, Ansible, CloudFormation), Software development lifecycle principles, Build Orchestration Tools (Jenkins, Bamboo, etc.).
Azure experience with Terraform and IaC Strategy is highly desirable.
Critical skills and experience around Azure/AWS and OpenShift / Kubernetes.
Proficiency in scripting languages such as Python, Bash, or JavaScript.
Experience with container technologies (Docker, Kubernetes) and microservices architecture.
Familiarity with DevOps principles and CI/CD tools like CloudBees/Jenkins, GitLab, or GitHub Actions.

Nice To Haves

5 7 years of experience in a Cloud Engineering or DevOps role with knowledge of AWS, Azure, or Google Cloud platforms.
Preferred experience with deployment Tools (CD/RO, Ansible, Azure DevOps, etc.) and Source Control Management (GitHub, SVN, BitBucket, etc.).

Responsibilities

Work collaboratively with our engineering teams to identify and implement the most optimal cloud based solutions.
Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
Design and implement cloud infrastructure solutions that meet our business requirements and align with our IT strategy.
Ensure application performance, uptime, and scale while maintaining high standards for code quality and thoughtful design.
Guide and coach, the more junior engineers on the team as they grow in their skills and gain experience within the Cloud Engineering space.
Provide technical leadership in the deployment and operational management of cloud solutions.
Design and maintain the Cloud provisioning templates required for building and managing our Cloud platforms while adhering to our clients Security, Compliance, and Performance standards and policies.
Design and maintain the CI/CD pipelines for building and managing our cloud native applications while adhering to our clients Security, Compliance, and Performance standards and policies.
Design, build, and deploy Cloud applications, including large scale data processing, computationally intensive statistical modeling, and advanced analytics.
Participate in all aspects of the SDLC for Cloud solutions, including planning, requirements, development, testing, and quality assurance.
Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures.
Educate teams on the implementation of new cloud-based initiatives, providing associated training when necessary.
Demonstrate exceptional problem-solving skills, with an ability to see and solve issues before they affect business productivity.
Develop and maintain supporting documentation for all automated processes.
Work closely with Prod and Non-Prod environment owners to develop and maintain a role based workflow that supports segregated duties.
Coordinate and lead training and information sharing meetings with the rest of the Cloud Engineering team.
Oversee and support Production deployments during major release activities for components owned by the Cloud Engineering team.
Serve as SME (subject matter expert) in several committees pertaining to Cloud Governance and Architecture.
Other duties and projects as assigned.