In-Demand Java developer Jobs in Heidelberg, Vic

Site Reliability Engineer
Future Secure AI —Melbourne VIC
- Azure
- DevOps
- AWS
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Systems Development Manager, Network Core
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- AWS
Platform DevOps Engineer
Future Secure AI —Melbourne VIC
- On call
- Azure
- DevOps
- AWS
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Site Reliability Engineer

Future Secure AI
Melbourne VIC

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Job Details

Qualifications

CI/CD
Azure
Deployment
DevOps
AWS
Terrafrom
Scripting
AI
Communication skills
SDLC

Full Job Description

About the Company

At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.

About the role

We are looking for a Site Reliability Engineer to help design and deploy, and operate the platforms that power AI Co-Workers. This is a hands-on role for an engineer who enjoys owning reliability end-to-end and working closely with product, AI, and engineering teams.

What You'll Do

Design, build, and operate reliable production infrastructure supporting AI Co-Workers
Own Kubernetes-based platforms used to deploy and run AI workloads
Build and maintain infrastructure as code using Terraform
Implement and maintain Helm-based deployment workflows
Build and improve observability across monitoring, logging, and alerting
Partner closely with engineers to ensure systems are resilient, scalable, and secure

What You'll Have

Hands-on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self-managed Kubernetes
Hands-on Terraform experience for infrastructure provisioning and automation
Hands-on Helm experience for Kubernetes application deployment
Professional experience using at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby
Strong communication skills, with the ability to run technical conversations at engineer level and adjust for leadership-level discussions

Should-Have Criteria

Experience working within a defined SDLC, including CI/CD, release processes, and end-to-end delivery from design to operations
Hands-on experience with at least one major cloud provider such as AWS, Azure, or Google Cloud
Experience with ArgoCD or GitOps-style deployment approaches
Five or more years of relevant professional experience
DevOps experience, including CI/CD ownership, infrastructure automation, and security considerations

Preferable Criteria

Relevant certifications such as CKA, CKAD, cloud certifications, DevOps, DevSecOps, or programming credentials

Why Join Us?

A high-performance culture
State-of-the-art technology
World-class leadership
Scale of impact and purpose
A competitive salary and strong growth trajectory
Work alongside the best in the industry
Flexible work environment
Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house, and the best way for candidates to express interest is by applying with your resume through our company website.

Future Secure AI Privacy Policy

At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.

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