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Job Title


Platform Reliability Engineer (contract)


Company : Capgemini


Location : Toronto, Ontario


Created : 2026-01-22


Job Type : Full Time


Job Description

Platform Reliability Engineer (contract) Join to apply for the Platform Reliability Engineer (contract) role at Capgemini Platform Reliability Engineer (contract) Join to apply for the Platform Reliability Engineer (contract) role at Capgemini Get AI-powered advice on this job and more exclusive features. We are seeking a Platform Reliability Engineer to support and optimize our platform services across Azure and AWS. This role requires hands-on technical expertise in Infrastructure as Code, monitoring, cloud-native service operations, and CI/CD pipelines. You will be responsible for building reliable, secure, and scalable platform components that empower development and operations teams to deliver enterprise-scale solutions. This role requires proficiency in cloud infrastructure, automation, and SRE practices. You will be responsible for optimizing platform operations, driving cost efficiencies, and enabling consistent service reliability through observability and collaboration with cross-functional teams. Key Responsibilities Support the design and implementation of core platform services that enable development teams to build, deploy, and operate applications reliably. Develop Infrastructure as Code (IaC) templates and scripts using tools like Terraform, ARM, or CloudFormation. Monitor and maintain compute, storage, networking, and data plane infrastructure for scalability and performance. Collaborate with cloud, security, and development teams to align platform capabilities with enterprise architecture and compliance. Implement observability solutions using Azure Monitor, Log Analytics, Prometheus, and other tooling. Troubleshoot platform-related incidents, perform root cause analysis, and contribute to continuous improvement. Participate in controlled deployment activities, ensuring validation steps and guardrails are in place. Support cost optimization initiatives across cloud-native services (e.g., compute, storage, Synapse). Contribute to platform modernization efforts, including migration to governance frameworks like Unity Catalog. Technical Profile 36 years in platform engineering, site reliability, or cloud infrastructure roles Proficient in Azure and/or AWS cloud environments Strong scripting experience (Python, PowerShell, Bash) IaC experience with Terraform, ARM templates, or CloudFormation CI/CD tooling experience (Azure DevOps, GitHub Actions) Monitoring and observability (Azure Monitor, Log Analytics, Prometheus) Familiarity with security, access control models, and cloud compliance standards Working knowledge of SRE practices, including SLO/SLI development Functional Profile Ability to work cross-functionally with security, DevOps, and cloud engineering teams Experience working in agile or iterative development environments Detail-oriented with strong documentation and follow-through Comfortable with proactive platform ownership and incident response Track record of improving platform performance, reliability, and cost-efficiency Skills Summary Core Expertise: Cloud Platform Engineering, Infrastructure as Code, Platform Observability, SRE Operations, Cost Optimization Languages & Frameworks Python, PowerShell, Bash Reactive & Event-Driven Tools Prometheus, Log Analytics, Azure Monitor Cloud & Containerization Azure, AWS Database & Messaging Data Plane Infrastructure (e.g., Synapse, Storage), Networking DevOps & CI/CD Azure DevOps, GitHub Actions Other Tools & Technologies Terraform, ARM Templates, CloudFormation, Unity Catalog (nice to have) Soft Skills Effective cross-team communication Strong problem-solving and analytical skills Attention to detail Self-driven, collaborative, and team-oriented work style The pay range that the employer in good faith reasonably expects to pay for this position is $42.35/hour - $66.18/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North Americas leading providers of Staffing and Consulting Services. Our success and our clients success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations. Seniority level Seniority level Mid-Senior level Employment type Employment type Contract Job function Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Capgemini by 2x Get notified about new Reliability Engineer jobs in Toronto, Ontario, Canada . Software Engineer, Backend (All Levels / All Teams) Software Engineer I, Entry Level (Fall 2024-Spring 2025) - Toronto Software Developer Full Stack (Junior) 9063-1115 Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr