Python Engineer - Real-Time Distributed Systems

Remote - Australia-based only

Full Australian work rights required

Salary negotiable to $150k + Super + Performance Bonus

Engineering Without Theatre

We design and operate low-latency, distributed systems that ingest real-time data, execute automated logic and manage risk in fast-moving electronic markets.

Performance is measurable.

Failure is visible.

Correctness matters.

You will build and operate production systems that run continuously under real-world constraints. This is core infrastructure, not feature churn.

What You'll Do

Build high-performance Python services supporting real-time workflows

Design and optimise event-driven data pipelines with strict latency targets

Deploy and operate containerised services in production across public cloud environments

Build internal tools, APIs and dashboards used by technical stakeholders

Improve CI/CD pipelines, testing frameworks and release safety

Monitor live systems and resolve production issues methodically

Write clean, well-tested and well-documented code

Ownership is end-to-end. If it runs in production, you care about how it behaves.

Technology Environment

You'll be working primarily in Python within a containerised, Kubernetes-based environment deployed across major public cloud platforms.

Our systems rely on:

Event-driven messaging and streaming architectures

Relational and time-series data stores

Infrastructure-as-code and Git-based deployment workflows

Production-grade monitoring and alerting tooling

We operate real-time services with strict latency and reliability expectations, so performance tuning and observability are part of everyday engineering.

Core Requirements

4+ years professional Python development experience

Strong understanding of distributed systems and concurrency

Experience operating containerised workloads in production

Hands-on experience with public cloud infrastructure

Experience building or running real-time or high-throughput systems

The Details

Remote role - must be based in Australia

Full Australian work rights required

Salary negotiable to $150k + Super + performance-based bonus

Flexible working arrangements

Learning budget and modern tooling

If this sounds aligned with the kind of systems you enjoy building, send through your CV or a short note outlining the environments you've worked in. All conversations are handled confidentially.

Skills:

• Python
• Distributed Systems
• Real-Time Systems
• Event-Driven Architecture
• Low Latency
• Kubernetes
• Public Cloud
• Messaging Systems
• SQL Databases
• Infrastructure as Code
• CI/CD
• Concurrency
• Performance Engineering

Salary benefits:

Super + Bonuses