Platform Engineering Manager - AI Cloud & Observability

Firmus; Sydney; On-site; AUD 180,000 - 260,000; Full time

Job summary

Firmus Technologies is seeking an Engineering Manager to lead the Platform Engineering and Observability team. You will be accountable for both people and delivery: growing engineers, shipping platform software, and treating these as products for other engineering teams.

You’ll drive reliability, security, and cost-efficiency while advancing AI-focused infrastructure from bare-metal GPU compute to the internal platform services and observability layer.

Qualifications

• Bachelor's degree in computer science or a related technical field.
• 4+ years managing engineers, with direct ownership of hiring, growth, and performance for a team of at least 8 engineers.
• Track record building high-performing, self-improving engineering team and a strong delivery culture.
• Proven ability to deliver complex infrastructure or platform at scale across multiple teams.
• Excellent written and verbal communication in English.

Responsibilities

• Be the Single-Threaded Owner (STO) for multiple squads, handling team growth and performance.
• Own end-to-end delivery, turning roadmaps into sequenced releases and managing cross-squad dependencies.
• Set and maintain engineering quality standards; guide cross-cutting technical decisions.
• Own reliability, security, and cost management of production services; drive incident response and runbooks.
• Represent the team to leadership and customers, communicating progress and trade-offs clearly.

Skills

Team Leadership

Delivery leadership

Engineering management

Strategic thinking

Stakeholder management

Education

Bachelor's degree in computer science

4+ years managing engineers

Tools

Kubernetes

Infrastructure as Code

CI/CD

Go

Python

Job description

Firmus Technologies is seeking an Engineering Manager to lead the Platform Engineering and Observability team. You will be accountable for both people and delivery: growing engineers, shipping platform software, and treating these as products for other engineering teams.

You’ll drive reliability, security, and cost-efficiency while advancing AI-focused infrastructure from bare-metal GPU compute to the internal platform services and observability layer.