Software Engineer - AI Platform

Betashares Group; Sydney; On-site; AUD 120,000 - 160,000; Full time

Job summary

Betashares Group is hiring a Software Engineer to operate and mature our internal AI Platform as it moves from prototype to business-as-usual. You will focus on platform engineering and DevSecOps, improving deployment, security, observability and day-to-day support while learning the platform.

You’ll work with platform engineers and business stakeholders across AWS, Kubernetes, PostgreSQL, TypeScript and event-driven services.

Qualifications

• Backend services written in TypeScript or similar language with testing and debugging ability.
• Experience deploying or supporting cloud-hosted apps and containerised workloads.
• Knowledge of version control, CI/CD, automated tests and IaC.
• Understanding relational databases and APIs; methodical issue investigation.
• Secure coding practices including secrets handling and access controls.
• Ability to learn new systems, document changes and explain issues clearly.

Responsibilities

• Improve platform operational maturity and reliability of deployments and maintenance.
• Operate and enhance AWS and Kubernetes environments; automate infrastructure changes.
• Design and improve CI/CD pipelines with tests, security checks and rollback processes.
• Implement security controls for secrets, permissions and audit logging.
• Enhance monitoring, logging and alerting; investigate incidents for reliability.
• Support PostgreSQL operations and event-driven services across boundaries.
• Build TypeScript backend services and internal tooling to enable AI workflows.
• Document procedures and gather feedback from engineers and stakeholders.
• Contribute to design reviews and take on broader platform decisions over time.

Skills

TypeScript backend development

Cloud deployments

CI/CD pipelines

Relational DBs & APIs

Secure development practices

Documentation & communication

Job description

Betashares is hiring a Software Engineer to help operate and mature our internal AI Platform as it moves from a live prototype to reliable business-as-usual operation. The platform supports agentic AI use cases across the organisation. Your initial focus will be hands-on platform engineering and DevSecOps: improving deployment, security, observability and day-to-day support while developing a detailed understanding of the platform.

You’ll work with platform engineers and business stakeholders across AWS, Kubernetes, PostgreSQL, TypeScript and event-driven services. This role suits a developing engineer with practical technical foundations who wants to grow through delivery. As your platform knowledge and judgement develop, you’ll take on broader backend changes and architectural decisions within delegated authority, with technical review and overall accountability retained by the platform owner. Frontend work is limited to internal tooling and enabling feature development.

Role Responsibilities

• Improve the platform’s operational maturity by delivering agreed changes that make deployments, support and routine maintenance more reliable and repeatable.
• Operate and improve AWS and Kubernetes environments, automate infrastructure changes, and maintain clear environment configuration.
• Design and improve CI/CD pipelines, including automated tests, security checks and rollback processes, so changes can be released safely.
• Implement agreed security controls for secrets, permissions and audit logging, working within delegated responsibility and escalating material risks.
• Improve monitoring, logging and alerting; investigate incidents; and strengthen reliability, performance and cost efficiency.
• Support PostgreSQL operations and event-driven services, including data changes, recovery procedures and troubleshooting across service boundaries.
• Build and maintain TypeScript backend services, APIs, integrations and internal operational tooling that enable platform features and AI workflows.
• Document operating procedures and work with engineers and business stakeholders to prioritise improvements and make the platform easier to support.
• Contribute to design reviews and progressively take responsibility for architectural decisions and broader platform changes as your competence develops.

Key skills and experience

Must-haves

• Ability to write, test and debug backend code in TypeScript or another backend language, with a willingness to work in TypeScript.
• Practical experience deploying or supporting cloud-hosted applications and containerised workloads.
• Experience using version control and CI/CD pipelines, with an understanding of automated testing, safe releases and infrastructure as code.
• Understanding of relational databases and APIs, with a methodical approach to investigating application and infrastructure issues.
• Working knowledge of secure development practices, including secrets handling and access controls, and judgement about when to seek review or escalation.
• Ability to learn unfamiliar systems, act on feedback, document changes and communicate technical issues clearly with technical and non-technical colleagues.

Nice-to-haves

• Hands-on AWS, Kubernetes and PostgreSQL experience, including improving deployment or operational workflows.
• Exposure to event-driven architecture and asynchronous service integration.
• Experience with a systems programming language.
• Familiarity with LLM applications, agentic workflows or AI development tools.
• Experience in financial services or regulated environments.