Systems Engineer - AI Safety and Tooling

Talenza; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

Talenza is seeking a Systems Engineer to join a new AI-safety tooling team in Sydney. You will build and run secure, scalable infrastructure enabling AI-powered tools for engineering teams in production environments.

Work spans environments, integrations, and controls to ensure observability, auditability and resilience. The role focuses on reliability and safety with global cross-team collaboration, mainly Sydney-based and office-led in the first year.

Qualifications

• Strong coding in Python or Go with production software or automation experience.
• Deep Linux/Unix fundamentals and experience operating production infrastructure.
• Strong Kubernetes and Docker experience in a live environment.
• Experience with observability, incident response, alerting and reliability.
• Exposure to cloud services, CI/CD, API integrations and secrets/access management.

Responsibilities

• Build and operate internal services, automation and integrations using Python and/or Go.
• Design and maintain containerised and virtualised environments across Kubernetes, Docker and AWS.
• Enable AI SaaS and self-hosted services for engineering teams focusing on reliability and safety.
• Implement security controls around secrets, access, isolation, network policy and auditability.
• Improve telemetry, monitoring and evaluation for AI-enabled engineering workflows.
• Investigate incidents, reduce toil and raise platform reliability.
• Partner with engineering, security, cloud, and infrastructure teams globally to deliver capabilities.

Skills

Python

Go

Kubernetes

Docker

Linux/Unix

Observability

Incident response

Cloud services

CI/CD

API integrations

Tools

AWS

Terraform

Job description

We're partnering with a leading global trading firm to find a Systems Engineer for a newly forming team at the intersection of platform engineering, developer productivity and AI safety.

This is not a role building or training AI models. Instead, you'll build and operate the secure, reliable infrastructure that enables engineering teams to use AI-powered tools and coding agents safely within production-critical environments.

You'll work on the environments where these tools run, the integrations that connect them to internal systems, and the operational controls that make their use observable, auditable and resilient.

What you'll be doing

Systems Engineer - AI Safety & Tooling

Sydney | Global trading firm | High-impact developer platform role

We're partnering with a leading global trading firm to find a Systems Engineer for a newly forming team at the intersection of platform engineering, developer productivity and AI safety.

This is not a role building or training AI models. Instead, you'll build and operate the secure, reliable infrastructure that enables engineering teams to use AI-powered tools and coding agents safely within production-critical environments.

You'll work on the environments where these tools run, the integrations that connect them to internal systems, and the operational controls that make their use observable, auditable and resilient.

What you'll be doing

• Build and operate internal services, automation and integrations using Python and/or Go

• Design and maintain containerised and virtualised environments across Kubernetes, Docker and AWS

• Enable AI SaaS and self-hosted services for engineering teams, with a focus on reliability and operational safety

• Implement security controls around secrets, access, isolation, network policy and auditability

• Improve telemetry, monitoring and evaluation capabilities for AI-enabled engineering workflows

• Investigate incidents, reduce operational toil and raise the standard for how the platform is run

• Partner with engineering, security, cloud and infrastructure teams globally to deliver new platform capabilities

What we're looking for

This will suit a software-first platform, SRE or systems engineer who enjoys building tools that other engineers depend on.

You'll bring:

• Strong hands-on coding ability in Python or Go, with examples of production software, services, tools or automation you have personally designed and shipped

• Deep Linux/Unix fundamentals and experience operating production infrastructure

• Strong Kubernetes and Docker experience in a live environment-not just deployment or configuration exposure

• Experience with observability, incident response, alerting and improving the reliability of systems others rely on

• Exposure to cloud services, CI/CD, API integrations and secrets/access management

• A proactive mindset: comfortable solving ambiguous problems, creating structure and taking ownership from discovery through to implementation

• Genuine curiosity about AI tooling, agentic workflows and how to introduce them safely into engineering environments

Experience with MCP servers, coding agents, API gateways, service mesh, sandboxing, gVisor, Firecracker, isolated CI runners or untrusted-code execution would be highly regarded, but is not essential.

Why this opportunity?

You’ll join a high-performing global technology organisation at an early and influential point in the build‑out of its AI‑powered engineering capability. The work is meaningful, technically challenging and highly visible‑giving you the chance to shape how developers safely use emerging AI tools across a production‑critical environment.

The role is Sydney‑based and will be mostly office‑based during the first year.