Deskripsi Pekerjaan
Build the Foundation for the Next Generation of AI Products
At Apex Cloud Solutions, we are building the infrastructure layer that powers real-time, high-throughput AI applications for Fortune 500 enterprises. We are looking for a Senior Platform Engineer who treats infrastructure as a product and automation as a discipline.
You will join a high-leverage Platform Team responsible for the reliability, scalability, and developer experience of our Kubernetes-based PaaS. This is not a "ticket-taking" ops role. You will design self-service primitives, write controllers/operators, and define the golden paths that allow 100+ engineers to ship code safely at velocity.
Why This Role is Different
- Ownership: You own the platform lifecycle: from bare-metal provisioning (via Tinkerbell/Cluster API) to the developer CLI.
- Scale: Manage 50+ multi-tenant clusters across AWS (EKS) and GCP (GKE) handling 50k+ RPS.
- Innovation: Building internal tooling for GPU workload orchestration, ephemeral preview environments, and cost attribution (FinOps).
- Culture: Blameless postmortems, RFC-driven development, 10% innovation time, and a "you build it, you run it" philosophy supported by platform tooling.
We are backed by top-tier VCs (Sequoia, Andreessen Horowitz) and offer a compensation package in the top 10% of market, including significant equity upside.
Tanggung Jawab
- Architect & Implement Platform Primitives: Design and build core platform components using Go (Controllers/Operators), Terraform, and Helm/Kustomize. Focus on multi-tenancy, RBAC, and network policy enforcement.
- Developer Experience (DevEx) Excellence: Own the internal developer platform (Backstage/port). Build self-service workflows for service scaffolding, secrets management, progressive delivery (Argo Rollouts/Flagger), and local dev environments (DevSpace/Tilt).
- Reliability & Observability: Define and enforce SLO/SLI frameworks. Build tooling for chaos engineering (Litmus/Chaos Mesh), capacity planning, and cost optimization (Kubecost/Cast.ai integration).
- Infrastructure as Code (IaC) Strategy: Maintain a mono-repo for infrastructure (Terragrunt/Terraform). Implement policy-as-code (OPA/Gatekeeper) guardrails for security and compliance (SOC2/ISO 27001).
- Kubernetes Platform Lifecycle: Manage Cluster API providers for lifecycle management (upgrade, scale, decommission) across cloud providers and on-prem edge locations.
- Mentorship & Technical Leadership: Lead RFC processes for platform changes. Mentor junior engineers and partner with product teams to define platform roadmap priorities.
- Security & Compliance: Implement zero-trust networking (Cilium/Istio), image signing (Sigstore/Cosign), and runtime security (Falco/Tetragon) across the fleet.
Kualifikasi
- Deep Kubernetes Expertise: 5+ years production experience; intimate knowledge of control plane components, CNI (Cilium/Calico), CSI, and scheduling internals. CKA/CKS certification preferred.
- Software Engineering Fluency: Strong proficiency in Go (Golang) for writing controllers, operators (Kubebuilder/Operator SDK), and CLI tools. Python/Bash for automation scripting.
- Cloud-Native Infrastructure: Expert-level Terraform (modules, state management, testing with Terratest). Deep AWS (EKS, IAM, VPC, ALB/NLB) or GCP experience.
- GitOps & Progressive Delivery: Hands-on production experience with ArgoCD/Flux, Argo Rollouts/Flux Flaggger, and Canary/Blue-Green deployment strategies.
- Observability Stack: Advanced Prometheus (Thanos/Cortex/Mimir), Grafana, Loki, Tempo, OpenTelemetry. Experience defining SLIs/SLOs and error budgets.
- System Design & Scalability: Proven track record designing highly available, multi-region systems. Experience with high-throughput, low-latency architectures.
- Communication & Collaboration: Ability to write clear technical specifications (RFCs/ADRs). Experience working in a remote-first or hybrid async culture.