87606# Infrastructure Engineering ConsultantMontrealHybridCloud and InfrastructureApplyWith over 30 years of recognized expertise, COFOMO is now a leading Canadian consulting firm specializing in digital and artificial intelligence. Supported by more than 3,000 experts, 10 Centers of Excellence, and 4 offices across the country, we are uniquely positioned to successfully guide our clients through their transformations. Both strategic and tactical, we help organizations across a wide range of industries thrive in today’s rapidly evolving world.## Our promiseHelp our clients succeed and maximize the impact of their transformation initiatives, turning them into powerful drivers of growth and innovation.##

Job description
Here's a brief overview of the tasks and responsibilities you'll have :* Support teams in the adoption and evolution of software engineering, DevOps, DevSecOps and Everything as Code practices applied to infrastructures;
* Evaluate infrastructure engineering practices to identify opportunities for improvement in automation, quality, reliability, security, and maintainability;
* Promote the use of Infrastructure as Code and Configuration as Code as well as the application of version control, modularity, testing, versioning, and documentation practices;
* Advise teams on the use of Git, pull requests, code reviews, branch strategies, and repository management practices;
* Design and evolve CI/CD pipelines as code for validation, testing, security analysis, deployment, and verification of infrastructure changes;
* Develop automations, modules, templates, pipelines, and reusable reference implementations for frameworks;
* Automate manual and repetitive operational activities to improve their efficiency, reliability and industrialization;




* Identify and prioritize responsible use cases for generative AI applied to infrastructure engineering, systems administration, DevOps, and operations;
* Guide teams in query and context engineering as well as the safe use of approved coding assistants and generative AI tools;
* Use generative artificial intelligence to accelerate the creation and improvement of framework code, scripts, pipelines, tests, operations guides, technical documentation, and troubleshooting guides;
* Build reusable engineering patterns incorporating generative AI, query libraries, control metrics, and reference workflows;
* Apply responsible artificial intelligence practices in privacy, security, validation, traceability, compliance, human oversight, and risk management;
* Validate the quality, reliability, maintainability, and security of AI-generated infrastructure code and automations before adoption or deployment;
* Support the evolution of observability practices, including monitoring, logging, metrics, alerts, and health checks;
* Improve the reliability, recoverability, traceability and operational readiness of infrastructure through appropriate engineering practices;
* Foster the adoption of new engineering practices, tools, automations and work methods by acting as an agent of change;
* Facilitate pair engineering sessions, technical workshops, communities of practice, and knowledge transfer activities;
* Document and publish best practices, conventions,



and reference patterns in infrastructure engineering and software engineering;
* Collaborate with various technical stakeholders to harmonize and evolve engineering, security, architecture, and platform practices;
* Produce maturity assessments, improvement roadmaps, prioritized recommendations, reference patterns, enablement plans, and indicators to measure the adoption and maturity of infrastructure engineering practices; The profile we are looking for is as follows:* Have at least ten (10) years of relevant experience in technology, including infrastructure engineering, systems administration, automation, DevOps, or platform engineering;
* Demonstrated experience in modernizing infrastructure and systems administration practices through software engineering, automation, Infrastructure as Code, and CI/CD;
* Have experience in applying generative AI and AI-assisted engineering to use cases related to infrastructure, DevOps, automation, or operations;
* Demonstrate experience in technical leadership, engineering coaching, DevOps, platform engineering, or infrastructure automation (an asset);
* Knowledge of the realities of financial services or other highly regulated business setting (an asset);
* Have a degree in computer science, software engineering, or a related discipline, or equivalent work experience;
* Master software engineering principles and their application to frameworks, automation, configuration, and scripting;
* Have a solid background in Infrastructure as Code with Terraform, OpenTofu or equivalent technologies;
* Master scripting and automation with PowerShell, Python, or Bash;
* Effectively use enterprise generative AI tools and coding assistants to support infrastructure, automation, development, and operations activities;*

📌 Infrastructure Engineering Consultant (Montreal)
🏢 COFOMO
📍 Montreal