7 дней назад
Senior Staff, Platform Engineer, DevOps (Kubernetes)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff, Platform Engineer, DevOps (Kubernetes) (AWS/Kubernetes/AI infrastructure): Owning the architecture, operation, and continuous improvement of a secure, scalable cloud platform with an accent on AWS infrastructure, Kubernetes orchestration, Terraform automation, and AI workloads. Focus on designing highly available systems, automating GitOps delivery, strengthening observability and security, and solving complex platform incidents.
Location: Hong Kong; hybrid work
Company
operates a tech- and AI-powered personal finance aggregation and comparison platform across Singapore, Hong Kong, Taiwan, and the Philippines.
What you will do
- Own the architecture and roadmap of the cloud platform, make infrastructure decisions, establish engineering standards, and mentor engineers.
- Design and operate scalable, secure, highly available AWS infrastructure using EC2, S3, Lambda, RDS, VPCs, and related services.
- Manage Terraform configurations, Kubernetes/EKS clusters, containerized workloads, ArgoCD GitOps workflows, and CI/CD pipelines.
- Own networking, including VPCs, routing, peering, DNS, load balancing, and network security controls.
- Implement monitoring, logging, alerting, incident response, cloud security, IAM, encryption, and access controls.
- Provision infrastructure for AI-powered products, including managed AI services, secrets management, governance controls, and cost monitoring.
Requirements
- 12–15 years of DevOps or platform engineering experience, including 5+ years designing, building, and operating Kubernetes environments.
- Deep hands-on AWS experience with EC2, S3, Lambda, RDS, VPC, and cloud infrastructure management.
- Strong experience with Kubernetes, Docker, Terraform, ArgoCD or GitOps, CI/CD automation, networking, and observability tools such as Prometheus, Grafana, or CloudWatch.
- Strong understanding of cloud security, IAM, network security, troubleshooting, and incident response.
- High autonomy and the ability to own initiatives end-to-end from design through operation.
- Strong English communication skills are required for cross-functional collaboration.
Nice to have
- Experience running AI or LLM workloads in production, including AWS Bedrock, API and secrets management, and usage and cost monitoring.
- Experience with Azure, GCP, or additional Kubernetes-native continuous delivery tools.
Culture & Benefits
- Work on financial technology designed to help people make better financial decisions.
- Collaborate with more than 350 employees across four markets.
- Join a fintech company focused on innovation, career growth, and practical impact.
- Inclusive and diverse working environment with equal-opportunity employment practices.
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