Full-time | Melbourne (Hybrid)
https://www.realtimetraffic.com.au/
Real Time Traffic (RTT) is Australia's leading AI and computer vision company for road safety. We work with transport agencies across multiple states to deploy AI-powered camera systems that detect near-misses, identify high-risk sites, and support proactive decision-making that saves lives.
Our technology is live at hundreds of locations across Australia, with thousands more planned. We're in a high-growth phase with a roadmap to expand internationally.
As demand accelerates, we're scaling fast and we're looking for a high-calibre engineer who wants real responsibility early.
The Mission of This Role
Our engineering team is heavily involved in day-to-day delivery execution. That model doesn't scale, and it doesn't allow us to evolve the platform at the pace the market demands.
We need someone exceptional who can:
* Absorb delivery complexity
* Engineer scalable interim solutions
* Reduce operational drag
* Identify repeat patterns in client needs
* Convert real-world friction into validated product improvements
This role starts close to delivery but it is designed to evolve into core platform ownership. We are deliberately building this role as a bridge between real-world deployment complexity and long-term platform design.
Why This Role Is Exciting
This role gives you:
* Exposure to live AI systems operating at national scale
* Direct visibility of how product decisions affect real deployments
* Responsibility to design pragmatic, production-grade solutions
* A pathway into core platform architecture and roadmap input
If you perform and choose to, you will progressively transition from delivery-focused engineering into proactive system development and platform evolution.
We are intentionally hiring for someone who wants that trajectory.
What You'll Be Doing
1. Engineer Creative Scalable Solutions Under Real Constraints
* Work directly with the delivery team to solve technical bottlenecks
* Extend existing systems intelligently (not hack around them)
* Design reusable tooling and automation to eliminate recurring manual work
* Improve quality, reliability, and turnaround time across deployments
2. Turn Delivery Friction into Product Insight
* Identify patterns in client requirements that exceed current platform capabilities
* Validate whether these represent scalable product opportunities
* Contribute structured thinking into roadmap discussions
* Help us decide what becomes permanent product vs. what remains bespoke)
3. Work with Real Data & Applied AI
* Analyse traffic, behavioural, and video-derived datasets
* Build Python-based processing and validation tools
* Contribute to LLM-driven reporting and automation workflows
* Support refinement of AI-enabled operational systems
* Improve how we operationalise machine learning outputs
Tech Environment
* Languages: Python (pandas, numpy), JavaScript
* Cloud: AWS (Lambda, S3, Kinesis, EMR)
* Databases: MongoDB
* Tools: Git, Jupyter, Docker, Linux, CI/CD tools
* Other Technologies in Use: OpenCV for computer vision, LLM-based automation tools, ISO 27001 security frameworks
You must be genuinely excited about applying AI to solve real operational problems.
Our Values
* Compassion – We build technology that protects lives. We care about our clients, our communities, and each other. Impact matters and so do people.
* Accountability – We take ownership of outcomes, not just tasks. We hold ourselves to high standards and stand behind our work.
* Responsiveness – We move with urgency and clarity. Whether supporting clients or teammates, we act decisively and communicate openly.
* Excellence – We pursue technical rigour and continuous improvement. We challenge assumptions, refine systems, and raise the bar.
* Safety – Safety is not a feature; it's our purpose. From secure systems to safer roads, we engineer responsibly and think long term.
About You
This role is for someone who:
* Has 2 years of strong engineering experience
* Thinks in systems, not tickets
* Enjoys ambiguity and solving messy real-world problems
* Can balance pragmatism with long-term thinking
* Proactively takes ownership and closes loops without supervision
* Communicates clearly and directly
Required
* Degree in Computer Science, Software Engineering, Data Science, or similar
* Intermediate level Python development experience with demonstrated ability to build data processing and validation tools
* Experience working with data-heavy systems
* Comfortable working in cloud environments
* Melbourne-based (or relocating)
* Must have current Australian work rights at the time of application
Strongly Valued
* Exposure to AI/ML workflows
* Experience building internal tooling or automation
* Experience supporting operational or delivery teams
* High intellectual curiosity
What Success Looks Like (12–18 Months)
* Delivery reliance on core engineers significantly reduced
* Recurring manual processes automated
* Interim solutions structured and reusable
* Clear product opportunities identified and validated
* Active contribution to core platform evolution
* Participation in architectural discussions
If you're exceptional, this role evolves into:
* Core platform engineer
* Technical lead on scalable modules
* Strategic contributor to RTT's long-term product direction
How to Apply
Please submit your CV and a brief introduction via Seek.
Applications are reviewed on a rolling basis. Apply early to be considered.
This Role Is Not For:
* Engineers who prefer clearly scoped tickets
* Those uncomfortable with ambiguity
* People who want to stay narrowly specialised
This role is for someone who wants to grow fast, take ownership early, and help build a category leader.