Staff Software Engineer — AI-Driven Platform Architect

UpGuard; City of Hobart; Remote; AUD 160,000 - 230,000; Full time

Benefits offered by this job

Stock options

Two off-sites per year

Parental leave (18 weeks)

WFH setup allowance

Co-working allowance

Personal Leave allowance

Annual leave plus UpGuardian leave

Job summary

UpGuard is seeking a Staff Software Engineer to set technical direction across Product Engineering. You’ll stay hands-on in the code while working with leadership on where the platform goes next, raising the bar for how we build across the org.

You’ll join one of our Product Engineering squads, using React/TypeScript on the front end and Go services with Postgres on Kubernetes via Google Cloud Platform. You’ll work with agentic AI tools and help shape testing, review, and deployment from day one.

Qualifications

• Typically 8+ years of relevant engineering experience at tech-centric, product-driven companies.
• Strong TypeScript and React skills.
• Proficiency in a backend language (Go).
• Solid PostgreSQL/database skills.
• Experience with AI coding tools and governance.

Responsibilities

• Stay hands-on and ship features in a squad while guiding technical direction.
• Set cross-team architecture decisions across squads.
• Lead scaling and data challenges as the platform grows to 100 billion risk signals daily.
• Mentor senior engineers and raise engineering standards.
• Contribute to roadmap with engineering and product leadership.

Skills

TypeScript

React

Go

PostgreSQL

Architectural direction

Leadership

Kubernetes

GCP

Claude Code

Cursor

Tools

Kubernetes

GCP

Claude Code

Cursor

Job description

UpGuard is seeking a Staff Software Engineer to set technical direction across Product Engineering. You’ll stay hands-on in the code while working with leadership on where the platform goes next, raising the bar for how we build across the org.

You’ll join one of our Product Engineering squads, using React/TypeScript on the front end and Go services with Postgres on Kubernetes via Google Cloud Platform. You’ll work with agentic AI tools and help shape testing, review, and deployment from day one.