Infrastructure Engineering Consultant

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 environment (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;* Understand query and context engineering, including the use of technical context, constraints, examples, and acceptance criteria to improve the quality of the results generated;* Evaluate AI-generated code, scripts, configurations, tests, documentation, and recommendations for accuracy, security, reliability, maintainability, and compliance;* Knowledge of responsible artificial intelligence practices, including data and personal information protection, intellectual property, human supervision, traceability, as well as the risks of hallucination and request injection;* Experience in designing reusable workflows incorporating generative AI, query libraries, control measures, and engineering accelerators (an asset);* Knowledge of recovery-augmented generation, agentic workflows, model evaluation, and integration of generative AI with engineering toolchains (an asset);* Master Git, version control, pull requests, peer reviews, branch policies, and repository and version management;* Demonstrate experience in developing CI/CD pipelines as code, preferably with Azure DevOps;* Design reusable automations, modules, components, jigs, and engineering accelerators for infrastructure;* Implement automated validations and testing for Infrastructure as Code and configuration;* Knowledge of Windows Server and Linux environments and infrastructure fundamentals, including networking, DNS, certificates, PKI, identities, secrets, storage, compute, and access management;* Experience with Microsoft Azure and cloud infrastructure automation;* Knowledge of containerized and Kubernetes environments (an asset);* Understand DevOps, DevSecOps, platform engineering, and Everything as Code;* Proficiency in modern observability practices, including logging, metrics, monitoring, health checks, and alerting;* Experience with Splunk and Dynatrace (an asset);* Knowledge of configuration management technologies such as Ansible (an asset);* Understand Agile and Kanban methodologies as well as the security, governance, and change management constraints of enterprise environments;* Communicate complex technical information in a clear and concise manner to various technical stakeholders;* Demonstrate technical leadership to guide seasoned specialists in the adoption of new practices, tools and ways of working;* Influence, engage and build consensus among stakeholders despite different technical perspectives and priorities;* Have strong coaching, mentoring, engineering and knowledge transfer skills;* Challenge existing practices in a constructive manner and propose pragmatic alternatives;* Adopt a collaborative approach focused on team empowerment, problem solving, autonomy and continuous improvement;* Demonstrate a structured mind, an ability to manage multiple priorities and a willingness to learn continuously;* This position requires fluency in French and English for daily tasks, understanding documentation, and professional communication with customers, suppliers, and colleagues across Canada. French and English language skills are essential, both oral and written.Apply #J-18808-Ljbffr