Software Engineer (.NET & AI)

Developing applications and services using.NET and C#

Designing and building RESTful APIs

Contributing to scalable, modern software architecture

Collaborating with engineers, product managers, QA and other stakeholders

Exploring and implementing AI-powered development and product capabilities

Improving development practices, tooling and engineering quality

Contributing to modern DevOps and CI/CD approaches

Professional experience developing software with.NET and C#

Experience building RESTful APIs and service-oriented applications

Understanding of software design patterns and scalable architecture

Experience working in Agile delivery environments

Working knowledge of modern JavaScript frameworks such as React

Familiarity with DevOps and CI/CD practices

Strong communication and collaboration skills

Curiosity about AI and an interest in applying it to software engineering challenges

Approximately 2+ years of professional software engineering experience

Degree in Computer Science or equivalent practical experience

Azure or other cloud platform experience

Experience building CI/CD pipelines

Python for automation or AI-related workflows

Experience working with LLMs, prompt engineering or agentic systems

Containerisation technologies

Experience building developer productivity tools

We're looking for a Software Engineer to help modernise one of Confluence's most important products while bringing emerging AI capabilities into production.

This is not a maintenance role.

As part of our Software Engineering team, you'll work across a large-scale product ecosystem used by investment management firms around the world. You'll help develop modern services, improve platform capabilities and build AI-powered solutions using technologies such as LLMs and agent-based workflows.

If you're a.NET engineer who enjoys solving complex problems, learning new technologies and working with talented people, we'd love to hear from you.

You'll have the opportunity to integrate AI capabilities into production software, exploring how LLMs and intelligent workflows can deliver value to real users.

Rather than being tied to a single component, you'll contribute across a wider product ecosystem, gaining exposure to different technologies, teams and challenges.

You'll join a collaborative engineering culture where knowledge sharing, mentoring and continuous learning are part of everyday work.

We're committed to helping people develop. Many of our engineers have progressed internally into new teams, technologies and leadership opportunities.