In-Demand Software engineer (ai, python, aws) Jobs

Site Reliability Engineer
Future Secure AI —Melbourne VIC
- On call
- Azure
- DevOps
- AWS
Quick Apply
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Dynatrace —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
- Scripting
- Employee stock purchase plan
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Site Reliability Engineer

Future Secure AI
Melbourne VIC

Quick Apply

Job Details

Qualifications

CI/CD
Azure
Deployment
DevOps
AWS
Terrafrom
Scripting
AI
Leadership
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 Us

Future Secure AI builds AI Co‑Workers that automate real operational work across enterprise environments. Our systems run in production, at scale, and under real‑world constraints. Reliability, resilience, and disciplined engineering are critical to everything we do.

We are looking for a Site Reliability Engineer to help design, build, 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 will you 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
Define, measure, and improve system reliability using SLIs, SLOs, and SLAs
Participate in on‑call rotation, incident response, root cause analysis, and post‑mortems
Reduce operational toil through automation and engineering improvements
Build and improve observability across monitoring, logging, and alerting
Partner closely with engineers to ensure systems are resilient, scalable, and secure
Operate across build, deploy, and operate phases of the software lifecycle

What are 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
Direct Site Reliability Engineer experience or equivalent, including reliability engineering, on‑call, incident response, post‑mortems, and toil reduction

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 or DevSecOps 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
Experience world-class leadership
Scale of impact and purpose
A competitive salary and a huge growth trajectory
Work with 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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software engineer (ai, python, aws) jobs

Site Reliability Engineer

Senior Site Reliability Engineer

Harness Consultant

Senior Software Engineer, App Analysis & Modelling

Senior Full Stack Engineer - Agent Experience

Senior Full Stack Engineer - Agent Runtime & Platform

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