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Principal Software Engineer at IQbusiness

IQbusiness
September 08, 2026
Full-time
On-site
Job Description


iqx the Technology Division of iqbusiness is looking for an exceptional Principal Software Engineer to join our Product Engineering team.
This is a hands-on, high-impact role for a senior engineer who enjoys solving complex business challenges, influencing technical direction, and owning the full software delivery lifecycle.
You will work closely with product managers, designers, and engineers to build secure, scalable, and client-focused solutions used by leading wealth and asset management firms globally.
Operating within a regulated fintech environment, you'll have the opportunity to shape architecture decisions, improve engineering standards, and drive innovation through modern AI-assisted engineering practices.


Required Skills and Experience


Extensive software engineering experience operating at Senior, Staff, Lead, Principal, or equivalent level.
Proven track record of delivering production-ready software from ambiguous requirements through to successful adoption.


Strong commercial experience with:


TypeScript
JavaScript
React
Node.js
SQL and relational databases
Hands-on cloud experience with AWS or similar cloud platforms.
Strong architecture and systems design capabilities.
Experience with deployment, observability, and production troubleshooting.
Excellent stakeholder management and communication skills.
Strong ownership mindset with a passion for quality and delivery excellence.
Knowledge of secure software development practices, accessibility standards, and compliance-driven environments.


AI-First Engineering

We're looking for engineers who have embedded AI into their development workflow. Successful candidates will be able to demonstrate:


Practical use of AI tools throughout the software delivery lifecycle.
Strong prompt engineering and AI-assisted development practices.
Critical evaluation and validation of AI-generated output.
Awareness of AI limitations, risks, and failure modes.
Real-world examples where AI has delivered measurable improvements in productivity or quality.

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