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← SPARTAN X TECHNOLOGY

DevOps Engineer

SPARTAN X TECHNOLOGY · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Thành phố Thủ Đức, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • Design and run multi-cluster, multi-cloud Kubernetes environments across AWS EKS, GCP GKE, and Azure AKS: highly available, disaster-resilient, auto-scaling.
  • Build GitOps-driven CI/CD pipelines with ArgoCD or FluxCD.
  • Tune performance, reliability, and cost. Every dollar saved is margin for the startup we serve.
  • Run AI infrastructure: GPU workloads, model serving, vector databases, and the inference bills that come with them.
  • Automate ops with AI: runbooks, incident summaries, IaC generation with Cursor and Claude.
  • Secure workloads: RBAC, Network Policies, OPA/Gatekeeper, vulnerability scanning.
  • Work with dev teams on containerization and app modernization.
  • Mentor engineers on Kubernetes and infrastructure practices.
  • Turn what you build into reusable accelerators: CI/CD templates, starter kits, monitoring setups that cut project startup time across clients.
  • Your Skills and Experience
  • Fluent English. You’ll talk directly with US startup founders.
  • 2-6 years in DevOps, SRE, or cloud infrastructure, with Kubernetes in production.
  • Strong Infrastructure as Code: Terraform, Helm, Ansible.
  • Deep knowledge of Docker/OCI runtimes, Linux, networking, and troubleshooting.
  • Hands-on with monitoring stacks: DataDog, Prometheus, Grafana, ELK, Jaeger.
  • Solid grasp of Kubernetes internals.
  • You use AI tools like a pro: you review what they write, catch their mistakes, and know when not to use them.
  • A builder’s mindset. You don’t just run infra, you solve problems like an owner.
  • Nice to Have
  • You’ve run LLM serving in production: vLLM, GPU scheduling, or managed inference endpoints.
  • Backend engineering experience.
  • CKA, CKAD, or CKS certifications.
  • Service mesh: Istio, Linkerd, Consul.
  • Open-source contributions to Kubernetes or CNCF projects.
  • Cloud cost optimization wins you can put numbers on.
  • Tech We Use
  • Every project brings a different stack, so in a year here you’ll touch more of this list than most engineers do in five. Two rules hold everywhere: everything as code, no click-ops. And what we adopt is decided by our engineers through an internal Tech Radar, not handed down from a slide deck.
  • Platform: Kubernetes (EKS · GKE · AKS) · Docker
  • IaC & GitOps: Terraform · Helm · Ansible · ArgoCD · FluxCD
  • CI/CD: GitHub Actions · Jenkins
  • Observability: OpenTelemetry · Prometheus · Grafana · DataDog · ELK · Jaeger
  • AI infra: vLLM · GPU workloads · pgvector · Qdrant
  • Cloud & edge: AWS · GCP · Azure · Cloudflare
  • AI tooling: Cursor · Claude · Codex
  • Why You'll Love Working Here
  • Career Growth
  • Work directly with founders from YC, Stanford, MIT, Yale, Google, Amazon, Uber, and more.
  • Exposure to AI infrastructure: LLM serving, vector databases, GPU workloads.
  • Transparent career path and mentorship from engineers who’ve taken 3 companies to IPO.
  • Every project feels like its own mini-startup.

Quyền lợi

Chăm sóc sức khỏe

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