Website Confluence Technologies
Confluence is a global technology solutions provider helping the investment management industry solve complex investment data challenges. Since 1991, Confluence has been building and delivering innovative products for a…
Department: IT – Information Technology
Employment Type: Permanent – Full Time
Workplace Type: Hybrid
Location: Toronto
Reporting To: Adrien Clement
Description
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.
More about the role & team
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.
What skills and experience do I need to succeed?
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.
What do we offer?
The interview is designed to assess your own experience, thought process and communication skills. If AI use is permitted as part of an exercise, we will clearly explain this beforehand.
Pre-Employment Screening Disclaimer
As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening.
