Future Secure AI

Platform DevOps Engineer

Future Secure AI

Melbourne, Victoria, Australia · Full Time

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Experience
5+ yrs
Salary
—
Openings
1
Posted
5 days ago
Work mode
In office
Resume
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Job description

About Future Secure AI

Future Secure AI is innovating at the cutting edge of artificial intelligence, solving large-scale real-world challenges for global enterprises across diverse industries. We are driven by a culture that values courage, rigor, and relentless curiosity, and we uphold our BRAVER principles as a daily standard. Our leadership is entrepreneurial and readily accessible, fostering a workplace where employees are valued as individuals. We prioritize your career development as our success is intertwined with yours. Join us to collaborate with industry-leading experts, explore new frontiers, and engage in meaningful work.

Role Overview

As a Platform DevOps Engineer, you will design, construct, and maintain resilient infrastructure critical to powering AI Co-Workers. The role requires full ownership of system reliability and involves close collaboration with product teams, AI researchers, and fellow engineers. This position demands hands-on engineering in a dynamic and evolving technological environment.

Key Responsibilities

  • Design, develop, and manage dependable production infrastructure supporting AI workloads.
  • Own and operate Kubernetes-based platforms for deployment and management of AI systems.
  • Implement and maintain infrastructure as code using Terraform and Terragrunt, employing GitOps principles.
  • Develop reusable CI/CD workflows in GitHub Actions for Docker builds, Terraform validations, and multi-repository deployments.
  • Manage Helm-based Kubernetes application deployments integrated with GitOps tools like ArgoCD.
  • Establish, track, and enhance system reliability through SLIs, SLOs, and SLAs.
  • Engage in on-call rotations for incident response, root cause analysis, and conducting post-mortems.
  • Automate operational processes to minimize manual toil and improve efficiency.
  • Enhance system observability with comprehensive monitoring, logging, and alerting mechanisms.
  • Collaborate closely with engineering teams to ensure systems are scalable, secure, and robust.
  • Participate in all stages of the software lifecycle: build, deploy, and operation.
  • Diagnose and troubleshoot issues across complex, multi-layer technology stacks.
  • Drive architectural improvements aligned with resiliency, security, and multi-cloud compatibility requirements.

Required Qualifications

  • Proven hands-on experience with Kubernetes platforms such as EKS, AKS, GKE, or self-managed environments.
  • Proficiency in infrastructure provisioning and automation using Terraform and Terragrunt.
  • Expertise in deploying Kubernetes applications with Helm.
  • Professional programming or scripting skills in at least two languages among Python, Go, Java, Bash, PowerShell, or Ruby.
  • Prior direct experience in a Platform or DevOps Engineer role or equivalent capacity.

Preferred Qualifications

  • Familiarity with development lifecycle practices including CI/CD pipelines, release processes, and end-to-end delivery.
  • Experience with major cloud providers like AWS, Azure, or Google Cloud Platform.
  • Knowledge of GitOps deployment methodologies, particularly with tools such as ArgoCD.
  • A minimum of five years of relevant industry experience.
  • Experience in DevOps or DevSecOps functions encompassing CI/CD ownership, infrastructure automation, and security.

Additional Advantages

  • Possession of certifications such as CKA, CKAD, AWS, Azure, GCP, DevOps, DevSecOps, or programming credentials.

Why Work With Us?

  • Engage in a high-performance organizational culture.
  • Operate using cutting-edge technology stacks.
  • Benefit from world-class leadership and mentorship.
  • Make impactful contributions with a strong sense of purpose.
  • Receive a competitive salary coupled with significant growth opportunities.
  • Work alongside highly skilled industry professionals.
  • Enjoy a flexible and supportive work environment.
  • Be part of a diverse and creative team.

Additional Information

We respectfully decline engagement with recruitment agencies. Our recruitment process is managed internally, and the preferred method to express interest is by applying directly through the company’s career platform.

Privacy Notice

Future Secure AI adheres strictly to privacy regulations including GDPR and Australian Privacy Principles under the Privacy Act 1988 (Cth). Our privacy policies ensure that personal data collected through our website and services are handled securely and responsibly.

Tools & software

Java Docker required Kubernetes · 5 to 8 years required Microsoft PowerShell required Argocd required GitHub Actions required Terraform · 5 to 8 years required

How they work

Teamwork & Collaboration Problem Solving Initiative Work Ethic Accountability
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