About the role
Job Title: Cloud DevOps Engineer Job Location: Montreal, QC (3days onsite in a week) Job Duration: Long Term
Job Description: Solid technical knowledge: Ability to converse with deep technical knowledge across a wide span of technologies with confidence, challenging direction as appropriate Alignment and team awareness: Ability to identify strengths and weaknesses, with a view to mentoring and helping Team growth Direct and driven: Challenges compromise where appropriate and strives to deliver the highest standards Sounding board and solution-orientated: enjoys working as a broader team to find solutions, supporting the team as appropriate, and allowing mentees to have a voice, grow and learn, but takes control when appropriate to provide the right direction
Responsibilities: Design and implement scalable and secure cloud infrastructure solutions using Terraform, python etc. Engineer repeatable Terraform modules to high standards with documentation Build best practice pipelines and automation using strategic tooling (Git, Terraform, Jenkins, Snyk etc.) Design and codify guardrails and features requested in the Product roadmap aligned to customer security and regulatory requirements. Collaborate with clients to understand their business needs and translate them into technical requirements and follow good agile practices. Develop and maintain documentation and architectural designs for cloud solutions following the Architecture board requirements. Utilize DevOps principles and practices to automate deployment, monitoring, and management processes. Implement security controls and best practices to ensure data protection and compliance. Troubleshoot and resolve issues related to cloud infrastructure and applications. Stay up to date with the latest trends and advancements in cloud technologies and provide recommendations for improvement. Provide mentoring and training to the DevOps product team and inhouse teams to adopt developed solutions and enhance the agile mentality and culture. Work with AI engineers to build Innovative AI solutions
Requirements: Bachelor’s degree in computer science, Engineering, or a related field, or relevant experience. Minimum of 5 years of experience as a DevOps Engineer, with a focus on cloud architecture and deployment. An “automate everything” mentality. Exceptional experience DevOps tooling (e.g. Terraform (Cloud), Jenkins, CloudBees, Ansible, SnyK, Git etc.) Expertise with DevOps tools, practices and processes, including CI/CD pipelines, configuration management, testing and version control systems (e.g., Git). Strong expertise building Terraform modules aligned to best practices. Strong expertise in a broad range of AWS cloud services Proficiency in programming languages such as Python, Golang, and experience with GitOps. Solid understanding of networking concepts, security measures, and best practices in cloud environments. Solid understanding of implementing AI solution in AWS Experience with containerization technologies like Rancher, Docker and Kubernetes would be an advantage Excellent problem-solving skills and ability to lead and mentor a team. Strong communication and collaboration skills to effectively work with stakeholders at all levels.
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About the role
Job Title: Cloud DevOps Engineer Job Location: Montreal, QC (3days onsite in a week) Job Duration: Long Term
Job Description: Solid technical knowledge: Ability to converse with deep technical knowledge across a wide span of technologies with confidence, challenging direction as appropriate Alignment and team awareness: Ability to identify strengths and weaknesses, with a view to mentoring and helping Team growth Direct and driven: Challenges compromise where appropriate and strives to deliver the highest standards Sounding board and solution-orientated: enjoys working as a broader team to find solutions, supporting the team as appropriate, and allowing mentees to have a voice, grow and learn, but takes control when appropriate to provide the right direction
Responsibilities: Design and implement scalable and secure cloud infrastructure solutions using Terraform, python etc. Engineer repeatable Terraform modules to high standards with documentation Build best practice pipelines and automation using strategic tooling (Git, Terraform, Jenkins, Snyk etc.) Design and codify guardrails and features requested in the Product roadmap aligned to customer security and regulatory requirements. Collaborate with clients to understand their business needs and translate them into technical requirements and follow good agile practices. Develop and maintain documentation and architectural designs for cloud solutions following the Architecture board requirements. Utilize DevOps principles and practices to automate deployment, monitoring, and management processes. Implement security controls and best practices to ensure data protection and compliance. Troubleshoot and resolve issues related to cloud infrastructure and applications. Stay up to date with the latest trends and advancements in cloud technologies and provide recommendations for improvement. Provide mentoring and training to the DevOps product team and inhouse teams to adopt developed solutions and enhance the agile mentality and culture. Work with AI engineers to build Innovative AI solutions
Requirements: Bachelor’s degree in computer science, Engineering, or a related field, or relevant experience. Minimum of 5 years of experience as a DevOps Engineer, with a focus on cloud architecture and deployment. An “automate everything” mentality. Exceptional experience DevOps tooling (e.g. Terraform (Cloud), Jenkins, CloudBees, Ansible, SnyK, Git etc.) Expertise with DevOps tools, practices and processes, including CI/CD pipelines, configuration management, testing and version control systems (e.g., Git). Strong expertise building Terraform modules aligned to best practices. Strong expertise in a broad range of AWS cloud services Proficiency in programming languages such as Python, Golang, and experience with GitOps. Solid understanding of networking concepts, security measures, and best practices in cloud environments. Solid understanding of implementing AI solution in AWS Experience with containerization technologies like Rancher, Docker and Kubernetes would be an advantage Excellent problem-solving skills and ability to lead and mentor a team. Strong communication and collaboration skills to effectively work with stakeholders at all levels.