Platform Engineer: AI-Driven Cloud (Melbourne)

Platform Engineer: AI-Driven Cloud (Melbourne)

21 Oct
|
PointsBet
|
Melbourne

21 Oct

PointsBet

Melbourne

About Us

At PointsBet, we have only built a fraction of what we have imagined.

About Us

At PointsBet, we have only built a fraction of what we have imagined.

Launched in Australia in 2017, PointsBet is committed to delivering the ultimate betting experience. As a global leader in the industry, our people are united by a shared mission: to push boundaries and elevate the thrill of the game – always with a focus on a safe, responsible experience for all users. Our diverse team brings together the best of tech, sports knowledge and creative vision to deliver an exciting platform for sports and racing enthusiasts worldwide.

About The Role

The Platform Engineer is a core delivery contributor in the Infrastructure team. You implement platform capabilities - cloud infrastructure, CI/CD pipelines, observability tooling, and self-service catalogue components - working within established designs and collaborating closely with senior engineers to resolve ambiguity and grow your technical depth.

You are not just an executor. You bring curiosity and a problem-solving mindset to your work, noticing what is broken or inefficient, surfacing ideas, and contributing to a team culture of continuous improvement. You apply SRE principles in your day-to-day delivery, use AI tooling to accelerate your work, and take genuine ownership of the reliability and quality of what you build.

Role Responsibilities

Platform Implementation & Delivery

- Implement platform components and infrastructure changes within your assigned domain, working from designs produced collaboratively with senior engineers.
- Collaborate with other engineers to resolve ambiguity in requirements, raise questions early,



and ensure your implementation aligns with agreed design intent.
- Understanding of Cloud frameworks – Cloud Adoption Framework, Well-Architected Framework.
- Follow and reinforce IaC, GitOps, and CI/CD standards; contribute self-service catalogue entries and pipeline templates that other teams can reliably consume working towards a self-serving Internal Developer Portal solution.
- Write clean, well-tested, peer-reviewed infrastructure code; produce transparent documentation so others can operate and extend what you build.

Site Reliability Engineering Mindset

- Apply SRE principles in your delivery work: understand the SLIs and SLOs for your domain, contribute to their implementation, and use reliability signals to prioritise your work.
- Identify and reduce toil in your area — manual processes, gaps in automation, repeated operational steps - and deliver durable fixes rather than workarounds.
- Participate in the on-call rotation; respond to and escalate incidents appropriately, and contribute actively to post-incident reviews with observations and improvement ideas.
- Maintain observability for platform components you own - metrics, logs, alerts — in line with team SLO standards.

Innovation & Continuous Improvement

- Identify problems in platform reliability, developer experience,



and operational efficiency from your day-to-day work; surface these to the team with context and initial ideas.
- Bring ideas on tooling, automation, and process improvements; contribute to team discussions on how to work better and build more reliably.
- Stay curious about emerging practices in platform engineering and SRE; share relevant findings with the team.

AI-Augmented Delivery

- Use AI tooling actively across your development and delivery work - code generation, documentation, debugging, and incident troubleshooting - to improve the quality and pace of your output.
- Share effective AI-augmented techniques with teammates; contribute to the team’s growing understanding of where AI tooling adds genuine value.

Collaboration & Growth

- Work closely with senior engineers and your EM to understand priorities, seek design guidance, and continuously improve the scope and quality of your contributions.
- Engage with value stream engineers to understand how they use platform components; surface friction and usability observations back to the team.
- Participate actively in code and design reviews - as a reviewer and reviewee; treat feedback as a primary mechanism for growth.
- Contribute to team knowledge: update runbooks and documentation, and share learnings from delivery and incident work.

Desired Skills And Experience

- Practical experience with cloud infrastructure (Azure preferred), infrastructure-as-code (Terraform or equivalent), container orchestration (Kubernetes), and CI/CD pipelines in a production environment.
- Working knowledge of SRE principles: SLIs, SLOs, error budgets

📌 Platform Engineer: AI-Driven Cloud (Melbourne)
🏢 PointsBet
📍 Melbourne

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