Data & AI Platform Engineer
Builds and runs Sharon AI's AWS cloud platform — accounts, networking, infrastructure as code, CI/CD pipelines, security, monitoring and cost management — so engineers can ship data products and AI agents. A hands-on Sydney-based (hybrid) platform/DevOps role working closely with the Data & AI Engineering Lead.
- Compensation
- Not disclosed
- Location
- Sydney, Australia
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- 5+ years in cloud, platform, DevOps or site reliability engineering
- Deep hands-on experience with AWS
- Strong infrastructure as code skills (e.g. Terraform or CloudFormation)
- Experience building CI/CD pipelines (e.g. GitHub Actions) and container platforms
- Security-first mindset with experience in identity, access and secrets management
- Scripting skills in Python or similar, and curiosity about AI automating platform work
Nice to have
- Experience supporting data platforms (e.g. Databricks) or AI workloads
Full description
Sharon AI is a Nasdaq-listed, sovereign AI infrastructure platform serving Australia, New Zealand and the wider APAC region. We design, build and operate AI Factories at scale, with hundreds of megawatts of capacity and tens of thousands of GPUs coming online for some of the world’s leading AI companies. We move at startup speed, with the responsibilities of a listed company.
About the Data & AI team
We are building a small, hands‑on team that makes Sharon AI faster and right the first time. Our job is to turn data and AI into outcomes the business can feel: bringing world‑class AI capacity to customers faster, running the business with precision at scale, and getting things right early, when it counts most.
We do this by building:
- One data foundation that our teams and delivery partners feed into.
- AI agents behind every role, so people make better decisions faster and spend their time on the work that matters most.
- Automation of repetitive work as the business moves from build to run.
- Governed end‑to‑end processes, owned by accountable business leaders and run by agents and people together.
How we work
Our guiding principle is better, faster, cheaper, in that order. We look for people who are:
- Humble and down to earth. Generous with credit, and easy to work with across every function.
- Driven by urgency. In our business, every day saved converts directly into revenue.
- Willing to go above and beyond when it matters, with a positive, can‑do attitude.
- Comfortable running several initiatives at once in an environment that is still taking shape.
The Role
You build the paved roads that let every engineer ship quickly, safely and repeatably. You own our cloud foundation, infrastructure as code and delivery pipelines, so the team can focus on building data products and agents. You work closely with the Data & AI Engineering Lead and are hands‑on every day.
What You’ll Be Doing
- Design, build and run our AWS foundation: accounts, networking, environments and core services, on an “everything as a service” model.
- Manage all infrastructure as code, so environments are consistent, reviewable and easy to recreate.
- Build and improve CI/CD pipelines for data pipelines, applications and agents, including automated testing and safe releases.
- Build in security from the start: identity and access, secrets management, encryption and audit logging, aligned with listed‑company expectations.
- Set up monitoring, logging and alerting so the team can see how everything is running.