6 часов назад
Software Engineer, DevOps
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, DevOps (AWS/Kubernetes): Designing and operating secure, scalable cloud environments and production-grade customer deployments with an accent on infrastructure automation, CI/CD, observability, and cloud security. Focus on deploying Kubernetes clusters, troubleshooting containerized workloads, and translating enterprise customer requirements into reliable implementation plans.
Location: Australia; remote-friendly culture with a hybrid work designation.
Company
develops open-source and enterprise AI cloud platforms that help organizations build Generative and Predictive AI applications on private data.
What you will do
- Deploy, maintain, and improve secure, scalable cloud environments on AWS and Kubernetes.
- Automate infrastructure provisioning and configuration with Terraform, Ansible, CloudFormation, and related Infrastructure as Code tools.
- Build and maintain CI/CD pipelines, release processes, and production environment automation.
- Implement observability through metrics, logging, monitoring, and alerting, while supporting reliability and performance.
- Operate Kubernetes clusters and troubleshoot containerized workloads across Linux, networking, and distributed systems.
- Work directly with enterprise customers and internal teams on deployments, architecture discussions, incident resolution, and product feedback.
Requirements
- Degree in Computer Science, Information Technology, or a related discipline, or equivalent practical experience.
- At least 2 years of experience in cloud, DevOps, platform engineering, or related roles.
- At least 2 years of hands-on Kubernetes experience in production environments.
- Strong hands-on AWS experience and experience operating cloud-based applications in production or near-production settings.
- Experience building CI/CD pipelines and automating infrastructure with Terraform, Ansible, CloudFormation, or similar tools.
- Strong troubleshooting, communication, learning, and adaptation skills.
Nice to have
- Customer-facing technical experience in banking or financial services.
- Exposure to GCP or Azure and cloud, Kubernetes, or AI/ML certifications.
- Experience with AI/ML or data-intensive workloads in cloud environments.
- Familiarity with security, compliance, data governance, and Generative AI frameworks.
Culture & Benefits
- Remote-friendly culture and flexible working environment.
- Career growth opportunities.
- Work with a world-class team focused on democratizing AI and responsible AI.
- Market-leading total rewards.
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