Site Reliability Engineer
Sydney, New South Wales, Australia · Full Time
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- Experience
- 5+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 2 天前
- Work mode
- In office
- Resume
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Job description
About Future Secure AI
Future Secure AI is pioneering new advancements at the forefront of artificial intelligence, addressing significant challenges across diverse global industries. We employ cutting-edge technology within a culture that values courage, precision, and a relentless drive for knowledge. Guided by our BRAVER principles, we foster an environment where leadership is approachable and growth is heavily invested in, ensuring every team member is valued and empowered. Joining us means collaborating with leading experts, exploring innovative frontiers, and contributing to impactful work.
Role Overview
We seek a Site Reliability Engineer who will take ownership of designing, deploying, and maintaining the infrastructure powering AI Co-Workers. This position is practical and hands-on, requiring close collaboration with product, AI, and engineering teams to uphold system reliability end-to-end.
Key Responsibilities
- Engineer, deploy, and manage dependable production systems supporting AI Co-Workers.
- Manage Kubernetes-based platforms that host AI workloads.
- Develop and maintain infrastructure using Terraform for automation and provisioning.
- Implement Helm charts and workflows to streamline Kubernetes application deployments.
- Enhance observability by improving monitoring, logging, and alerting mechanisms.
- Collaborate effectively with engineering teams to ensure systems are resilient, scalable, and secure.
Required Qualifications
- Proficient in Kubernetes, with hands-on experience designing or operating workloads on cloud platforms like EKS, AKS, GKE, or self-managed Kubernetes clusters.
- Experience using Terraform to provision and automate infrastructure.
- Familiarity with Helm for deploying applications in Kubernetes environments.
- Skilled in at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby.
- Strong communication ability, capable of engaging in detailed technical discussions as well as conveying concepts to leadership.
Preferred Experience
- Experience within structured software development life cycles, including CI/CD pipelines, release management, and full delivery lifecycle from design to operations.
- Hands-on familiarity with one or more major cloud service providers like AWS, Azure, or Google Cloud.
- Knowledge or experience using ArgoCD or GitOps deployment methodologies.
- Five or more years in relevant professional roles.
- DevOps expertise encompassing CI/CD ownership, infrastructure automation, and incorporating security into workflows.
Desired Certifications
- Certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), cloud certifications, DevOps or DevSecOps credentials, or relevant programming certifications.
Why Join Future Secure AI?
- Engage in a high-performance organizational culture.
- Work with state-of-the-art technology.
- Learn from world-class leadership.
- Contribute to impactful projects with meaningful purpose.
- Receive competitive remuneration and opportunities for growth.
- Collaborate alongside top industry professionals.
- Enjoy a flexible work setting.
- Experience a diverse and creative environment.
Additional Information
We operate an internal hiring process and do not engage recruitment agencies. The preferred application method is via submission of your resume on our company website. Future Secure AI is committed to protecting your privacy in compliance with GDPR and Australian Privacy Principles; details of our privacy practices are available on our website.