Software Engineer
Permanent - Full TimeJob Overview
Location - Pittsburgh, US
Why Confluence?
At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence.
More about the role & team
This is a hands-on Software Engineer role on one of Confluence’s largest products — where you’ll help modernise a market-leading platform and shape how we bring emerging AI capabilities into production. You’ll be a .NET / C# developer working across the wider ecosystem of the platform, rather than being tied to a single component.
What makes this role stand out is where we point your energy. You will be integrating LLMs and agent-based workflows into real products — not legacy maintenance. You’ll get genuine exposure to problems where only a few people currently have the answers, with the support to figure them out alongside experienced lead engineers.
You’ll join a highly collaborative team where engineers, product owners, QAs and project and product managers all help each other, with continuous learning and knowledge-sharing built into how we work. For ambitious people, there’s real room to grow — we actively move people into the right places to progress.
What skills and experience do I need to succeed?
We’re looking for a .NET / C# engineer who is genuinely curious about AI and eager to apply it in their day-to-day work.
Essential requirements:
Essential requirements:
- Strong .NET / C# development experience — the core of the role
- Designing and implementing RESTful APIs and service-oriented architecture
- A solid understanding of software design patterns and scalable architecture
- Experience working in agile development environments
- Demonstrated use of AI-assisted development tools (e.g. LLMs and coding assistants) to accelerate delivery and improve quality — and the ability to talk about how you’ve applied AI in practice
- Working knowledge of modern JavaScript frameworks (e.g. React)
- Familiarity with modern DevOps and CI/CD practices
- Strong communication and collaboration skills, working effectively across teams
- A self-starter and quick learner, comfortable working through new problems
- Around 2+ years’ professional software engineering experience, with an undergraduate degree in Computer Science or equivalent professional experience
Nice to have:
- Exposure to cloud platforms, ideally Azure
- Experience building CI/CD pipelines and broader DevOps knowledge
- Python for automation or AI workflows
- Experience with LLMs, prompt engineering or agent-based systems
- Experience with containerisation
- Experience building or optimising developer-productivity tooling