Confluence Technologies

Team collaboration and knowledge management platform

Senior IT Infrastructure Administrator - DevOps

Cloud Engineering +1Confirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

Practical experience delivering Infrastructure as Code using Terraform.
Experience working with a major cloud platform; Azure is preferred, while relevant AWS experience and ability to transfer knowledge to Azure are acceptable.
Software engineering capability demonstrated through development, advanced scripting, or automation projects.
Programming or scripting capability using a relevant language such as Python, PowerShell, Bash, or Java; experience with every listed language is not required.
Experience automating Microsoft and Windows-based environments and willingness to work across Windows and Linux technologies.
Experience with CI/CD principles and tooling such as Jenkins, GitHub Actions, Azure DevOps, or equivalent.
An automation-focused engineering mindset and ability to learn unfamiliar technologies and apply transferable engineering principles.
Willingness to use generative AI as part of the engineering workflow, and judgment to review, validate, and improve AI-generated outputs.

Responsibilities

Build and automate cloud infrastructure using Terraform and Infrastructure as Code principles, supporting the evolving Azure environment.
Support cloud migration projects as products move onto the Cloudnxt Azure platform.
Develop automation that replaces manual infrastructure processes with repeatable, version-controlled solutions across Microsoft and Linux environments.
Build and maintain CI/CD pipelines and automated deployment processes using Jenkins or equivalent technologies.
Use generative AI tools responsibly to accelerate coding, automation, troubleshooting, and technical documentation, while critically reviewing and validating outputs.
Create clear technical documentation, procedures, and runbooks while contributing to the wider team's operational responsibilities when required.

Desired Qualifications

Hands-on Azure experience, particularly across cloud infrastructure, automation, migrations, or landing zones.
Experience with Ansible or other configuration management technologies.
Knowledge of monitoring, backup and recovery, disaster recovery, vulnerability remediation, or cloud security.
Practical experience using Claude or another generative AI assistant for engineering, troubleshooting, log analysis, or documentation.
Relevant cloud or automation certifications such as Microsoft Azure Administrator, AWS Solutions Architect, or HashiCorp Terraform Associate.

Location - Toronto or Montreal. Pittsburgh considered.

Why Confluence?

At Confluence, we're building the future of investment data through innovation, collaboration and continuous improvement. As AI reshapes the financial services industry, we're embracing new technologies while continuing to build on the deep industry expertise and trusted partnerships that have defined our success for decades.

With colleagues across the globe, we bring together diverse experiences, perspectives and expertise to tackle complex challenges and create meaningful impact. Whether you're starting your career or bringing years of experience, you'll have the opportunity to learn, contribute and help shape what's next.

We are looking for a Senior IT Infrastructure Administrator, DevOps to join our Cloud Infrastructure team and help build the next generation of Confluence’s cloud environment.

This is predominantly a hands on DevOps, cloud automation and engineering role, rather than a traditional infrastructure support position. You will contribute to Cloudnxt Azure, our new Azure foundation, helping migrate products including Omnia, One Connect and UDL onto a common cloud environment. You will work on Infrastructure as Code, cloud migration, deployment automation and the processes needed to operate these environments effectively.

You will join an internationally distributed team and play an important part in accelerating our move towards repeatable, automated infrastructure. While project delivery will be your main focus, you will also bring enough broader infrastructure knowledge to provide cover across Windows, Linux and Active Directory when required.

Technology Stack

Key Responsibilities

Build and automate cloud infrastructure using Terraform and Infrastructure as Code principles, supporting Confluence’s evolving Azure environment.
Support cloud migration projects as products move onto the Cloudnxt Azure platform.
Develop automation that replaces manual infrastructure processes with repeatable, version controlled solutions across Microsoft and Linux environments.
Build and maintain CI/CD pipelines and automated deployment processes using Jenkins or equivalent technologies.
Use generative AI tools responsibly to accelerate coding, automation, troubleshooting and technical documentation, while critically reviewing and validating outputs.
Create clear technical documentation, procedures and runbooks while contributing to the wider team’s operational responsibilities when required.

Essential Requirements

Practical experience delivering Infrastructure as Code using Terraform.
Experience working with a major cloud platform. Azure is preferred, although relevant AWS experience and the ability to transfer your knowledge to Azure will also be considered.
Software engineering capability demonstrated through development, advanced scripting or automation projects.
Programming or scripting capability using a relevant language such as Python, PowerShell, Bash or Java. You do not need experience with every language listed.
Experience automating Microsoft and Windows based environments and a willingness to work across both Windows and Linux technologies.
Experience with CI/CD principles and tooling such as Jenkins, GitHub Actions, Azure DevOps or equivalent.
An automation focused engineering mindset with the ability to learn unfamiliar technologies and apply transferable engineering principles.
A willingness to use generative AI as part of your engineering workflow and the judgement to review, validate and improve AI generated outputs.

Desirable Requirements

Hands on Azure experience, particularly across cloud infrastructure, automation, migrations or landing zones.
Experience with Ansible or other configuration management technologies.
Knowledge of monitoring, backup and recovery, disaster recovery, vulnerability remediation or cloud security.
Practical experience using Claude or another generative AI assistant for engineering, troubleshooting, log analysis or documentation.
Relevant cloud or automation certifications such as Microsoft Azure Administrator, AWS Solutions Architect or HashiCorp Terraform Associate.

About the Company

Confluence Technologies

Team collaboration and knowledge management platform

Confluence is a team collaboration and knowledge-management platform that helps groups create, organize, and discuss work in a central space. It centers on pages and documents—such as project plans, meeting notes, technical docs, and knowledge bases—that can include text, images, and multimedia. Users edit and structure content with a flexible editor, link pages, and organize them into spaces for easy navigation, commenting, and sharing. The product is delivered as a subscription service with a free tier for small teams and paid plans that scale by user count and features. Confluence differentiates itself by offering tight integration with the broader Atlassian ecosystem (e.g., Jira) and a wiki-like, permission-driven structure that supports enterprise knowledge management and broad collaboration across projects. Its goal is to improve team communication, foster knowledge sharing, and raise productivity by making information easy to create, find, and discuss.

Company size: 501-1,000
Company stage: Late Stage VC
Total funding: $60M
Headquarters: Pittsburgh, PA
Founded: 1991

Recently Posted Jobs

Explore more opportunities at Confluence Technologies

See more jobs