Platform DevOps Engineer

About Future Secure AI

At Future Secure AI, we are pioneers developing cutting-edge artificial intelligence solutions to address significant challenges faced by global enterprises across various industries. Our culture is built on courage, precision, and an insatiable drive for discovery, reflected in our BRAVER values that guide our daily actions and decisions. Our leadership team is entrepreneurial, highly experienced, and maintains an open-door policy ensuring every employee is valued. We prioritize your professional growth because our achievements are deeply connected to your success. Join us to collaborate with some of the brightest minds, explore innovative frontiers, and contribute to meaningful, impactful work.

Role Overview

We seek a Platform DevOps Engineer to own the design, construction, and operation of the infrastructure supporting AI Co-Workers. This role demands hands-on technical expertise and collaboration with product, AI, and engineering teams to maintain high reliability and operational excellence.

Key Responsibilities

• Architect, develop, and administer resilient production infrastructure supporting AI workloads.
• Manage Kubernetes platforms used to deploy and execute AI applications.
• Implement infrastructure as code utilizing GitOps practices with Terraform and Terragrunt.
• Create and sustain reusable GitHub Actions CI/CD workflows covering Docker image builds, Terraform planning and applying, and cross-repository deployments.
• Manage Helm-driven deployment procedures integrating GitOps tools like ArgoCD.
• Establish, monitor, and enhance system reliability via SLIs, SLOs, and SLAs.
• Participate in on-call rotation for incident management, including response, root cause analysis, and post-mortem processes.
• Automate routine tasks and optimize engineering workflows to minimize operational burden.
• Enhance observability through advanced monitoring, logging, and alerting mechanisms.
• Work closely with engineering teams to ensure systems meet standards of scalability, security, and resilience.
• Oversee software lifecycle stages from building through deployment and operational phases.
• Investigate and resolve issues across complex, multi-layered technology environments.
• Drive improvements in product capabilities by designing architectural enhancements that satisfy resiliency, security, and cross-cloud compatibility requirements.

Mandatory Qualifications

• Practical experience with Kubernetes platforms such as EKS, AKS, GKE, or self-managed clusters.
• Proficiency in Terraform and Terragrunt for automated infrastructure management.
• Hands-on experience deploying Kubernetes applications using Helm.
• Professional expertise in at least two programming or scripting languages like Python, Go, Java, Bash, PowerShell, or Ruby.
• Prior experience in Platform or DevOps engineering or comparable roles.

Desired Skills

• Familiarity with structured Software Development Life Cycle (SDLC) processes including CI/CD pipelines, release management, and end-to-end delivery.
• Experience with one or more major cloud platforms: AWS, Azure, or Google Cloud.
• Knowledge of GitOps deployment methods, especially with ArgoCD.
• Minimum five years of relevant industry experience.
• Background in DevOps or DevSecOps including infrastructure automation, CI/CD ownership, and security best practices.

Preferred Certifications

• Certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), Cloud certifications (AWS, Azure, GCP), and relevant DevOps or DevSecOps certificates.

Why Join Future Secure AI?

• High-performance company culture that drives excellence.
• Access to state-of-the-art technological resources.
• Opportunity to learn from exceptional leadership.
• Work with meaningful projects impacting diverse sectors.
• Competitive pay with substantial growth opportunities.
• Collaborate with leading industry professionals.
• Flexible working environment supporting work-life balance.
• Inclusive culture valuing diversity and creativity.

Additional Information

We do not engage with recruitment agencies. Our recruitment process is managed internally. Interested candidates should submit their resumes directly through our company website.

Privacy Commitment

Future Secure AI is dedicated to protecting personal privacy under the General Data Protection Regulation (GDPR) and Australian Privacy Principles (APPs) pursuant to the Privacy Act 1988 (Cth). Our Privacy Policy details how personal data is collected, used, shared, and secured when using our services.