Commonwealth Bank68 followers124 jobs

Staff Software Engineer, Unloan (Typescript, NextJS, GrathQL)

SeniorFull-timeHybridSydney NSW, AustraliaInformation technologyProductSoftware engineeringPosted 2 weeks ago
View your fit0 of 9 criteria met

About the job

The Staff Software Engineer (Full Stack) position at Unloan is an exciting opportunity to drive innovation and build world-class products using cutting-edge technologies like TypeScript, Next.js, Expo, and GraphQL. This job plays a crucial role in redefining the digital lending landscape, contributing to a forward-thinking team that values collaboration and creativity. Unloan fosters a dynamic environment where modern engineering meets real-world impact, empowering professionals to make a difference in the lending industry.

You'll be responsible for

🚀

Driving innovation

Leading the strategic design and architecture of Unloan’s platform, delivering complex, high-performance services and products that redefine digital lending.
🔧

Building scalable solutions

Creating complex and highly scalable designs using TypeScript, Next.js, Expo, and GraphQL, ensuring secure and reliable solutions from inception to production.
🌟

Mentoring and uplifting

Elevating engineering culture by mentoring peers, setting high technical standards, and acting as a force-multiplier for the entire engineering team.

What we're looking for

💻

Full-stack development experience

Proven experience building full-stack solutions with TypeScript, Next.js, and GraphQL.

View fit

🚀

Technical leadership skills

Demonstrated ability to lead complex initiatives and mentor engineering teams.

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🌐

Cloud and DevOps expertise

Experience with Azure or AWS, Docker, and CI/CD practices.

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Meet the team

About the company

View your fit

0 of 5 criteria met
Full-stack development experience
Proven experience building full-stack solutions with TypeScript, Next.js, and GraphQL.

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Technical leadership skills
Demonstrated ability to lead complex initiatives and mentor engineering teams.

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Cloud and DevOps expertise
Experience with Azure or AWS, Docker, and CI/CD practices.

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Generative AI knowledge
Practical exposure to Generative AI concepts and automation frameworks.

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Quality assurance focus
Strong emphasis on test automation and observability for reliable systems.

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