Software Engineer at Thomson Reuters
New Zealand, New Brunswick, New Zealand -
Full Time


Start Date

Immediate

Expiry Date

01 Feb, 27

Salary

60000.0

Posted On

03 Nov, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Financial Services & Insurance

Description
  • Design, build, test, and ship internal web applications end to end: database, API, and user interface.
  • Build and maintain integrations with the firm's ERP, CRM, HR, payroll, and Microsoft 365 systems through their APIs.
  • Deploy and operate applications on Azure (App Service, Functions, SQL, Entra ID single sign-on) across test and production environments, with source control, CI/CD, and monitoring.
  • Work with internal stakeholders in HR, finance, operations, and the commercial team to turn a scope into working software, and iterate on their feedback.
  • Build technical applications with the engineering and environmental practices, with the engineers owning the method and you owning the software.
  • Handle multi-entity data correctly: several legal entities, one org chart, and documents that must show the right company name.
  • Protect employee and client data: role-based access, audit trails, secure handling of sensitive records.
  • Write clear documentation and keep the codebase maintainable, so the next developer can pick up your work.
  • Support and improve applications already in production, and help retire the third-party tools they replace.

Required


What you bring


  • Degree or diploma in computer science, software engineering, or a related field, or equivalent experience.
  • 3 or more years building and shipping web applications in a modern stack (for example C# and .NET or Node and TypeScript on the back end, React or similar on the front end, and SQL).
  • Hands-on experience integrating with third-party systems through REST APIs, including authentication, pagination, and error handling.
  • Experience deploying and running applications in Azure or a comparable cloud, with Git-based workflows and CI/CD.
  • Solid relational data modelling and SQL skills.
  • Daily, practical use of AI coding assistants, and the judgment to review what they produce.
  • Clear communication with non-technical users, and the ownership to see a feature through to adoption, not just to merge.


Responsibilities
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