Fintech App Support Engineer - Hybrid, AI-Driven Ops in Sydney

Fintech App Support Engineer - Hybrid, AI-Driven Ops in Sydney

Sydney Full-Time 49500 - 60500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Support a fintech platform and manage incidents using SQL in a hybrid setup.
  • Company: Allura Partners, a dynamic fintech company in Sydney.
  • Benefits: Growth opportunities, hybrid work model, and hands-on experience from day one.
  • Other info: Proactive mindset and teamwork are key to success in this role.
  • Why this job: Join a cutting-edge fintech team and take ownership of your projects.
  • Qualifications: 3-5 years of experience in application and IT support, with SaaS/Fintech exposure.

The predicted salary is between 49500 - 60500 $ per year.

Allura Partners is seeking a Production Support Engineer to protect a fintech platform in Sydney.

The role blends application and IT support, ideal for someone with 3–5 years of experience who wants growth and ownership from day one.

You'll work in a hybrid Sydney setup supporting Windows/M365, monitor with Datadog and Snowflake, and triage incidents using SQL.

A proactive mindset and Saa S/Fintech exposure are valued assets.

Fintech App Support Engineer - Hybrid, AI-Driven Ops in Sydney employer: Allura Partners

Our client is an exceptional employer, offering a dynamic work environment in the heart of Sydney, where innovation meets collaboration. With a focus on modernising insurance solutions, employees benefit from competitive daily rates and the opportunity to work on cutting-edge digital platforms that directly impact customer experiences. The company fosters a culture of growth and influence, allowing team members to shape the future of insurance while enjoying a supportive atmosphere that values their contributions.

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Contact Details:

Allura Partners Recruitment Team

We think you need these skills to ace Fintech App Support Engineer - Hybrid, AI-Driven Ops in Sydney

Application Support
IT Support
Windows/M365
Datadog
Snowflake
Incident Triage
SQL