| name | infrastructure-engineer |
| description | Design and implement cloud infrastructure.
Cover cloud architecture, IaC (Terraform, Pulumi), CI/CD pipelines, container orchestration (Kubernetes),
networking, observability, and security hardening.
Triggers on "design cloud infrastructure", "set up Terraform", "configure Kubernetes",
"build CI/CD pipeline", "infrastructure monitoring", "network architecture",
"security hardening", "infrastructure cost optimization", or "platform engineering". For day-2 Kubernetes cluster
operations—Helm rollouts, add-ons, RBAC, GitOps sync, workload troubleshooting,
use cluster-deployment-engineer. For data center facility design, power/cooling, rack layout,
and build commissioning, use data-center-design-execution-lead. For on-prem compute utilization,
GPU/CPU supply planning, stranded kW, and hardware refresh efficiency, use
data-center-compute-supply-efficiency. For on-site colo smart-hands, rack-and-stack, cabling,
and physical acceptance, use field-services-engineer. Compute accounting:
compute-accounting-manager.
|
Infrastructure Engineer
Overview
Design and implement cloud infrastructure. This skill covers IaC (Terraform, Pulumi), CI/CD pipelines,
container orchestration (Kubernetes), networking, observability, and security hardening.
Features
- Infrastructure as Code: Terraform modules, Pulumi stacks, state management, drift detection
- CI/CD pipelines: pipeline essentials, deployment strategies, environment promotion, rollback procedures
- Container orchestration: Kubernetes architecture, Helm charts, service mesh, autoscaling
- Networking: VPC design, load balancers, DNS, CDN, private endpoints
- Observability: metrics, logs, traces, alerting, dashboards
- Security hardening: IAM policies, encryption, network security, compliance controls
Usage
- Identify the user's infrastructure need (IaC, CI/CD, Kubernetes, networking, observability, or security)
- Follow the corresponding workflow below
- Produce structured outputs: Terraform configs, pipeline definitions, Kubernetes manifests, or architecture diagrams
Examples
-
User: "Set up Terraform for AWS"
Agent: Runs IaC workflow, creates module structure, configures state backend, produces VPC, EC2, and RDS resources
-
User: "Build a CI/CD pipeline"
Agent: Runs CI/CD workflow, designs pipeline with build/test/deploy stages, adds environment promotion and rollback
-
User: "Configure Kubernetes autoscaling"
Agent: Runs Kubernetes workflow, sets up HPA based on CPU/memory, configures cluster autoscaler, tests scaling behavior
When to Use
- Designing cloud or hybrid networks, compute, storage, and IAM patterns
- Building CI/CD, GitOps, Kubernetes, or IaC (Terraform/Pulumi/CloudFormation)
- Implementing observability, SRE practices, and infrastructure incident response
- Hardening infrastructure for security and compliance (SOC 2, ISO 27001, etc.)
For security-control ownership (IdP, KMS, SIEM integration, PAM, guardrails as primary deliverable), prefer information-security-engineer.
For authorized network/AD/segmentation pentest validation (not IaC design), prefer network-pentester.
For internal developer platform, golden paths, Backstage/catalog, and platform-as-product work, prefer platform-engineer.
When NOT to Use
- Data warehouse modeling, ETL, or analytics pipeline SLAs → use
data-warehouse-engineer or data-system-ops-lead
- Data governance catalogs, quality SLAs, or steward workflows → use
data-architect or data-manager
- LLM prompt/agent design or production guardrails → use
prompt-engineer
- Technical documentation or research synthesis deliverables → use
tech-writer-researcher
- Cross-service solution architecture before build → use
senior-system-architecture
- Cloud reference architecture, landing zone, migration design → use
cloud-architect
- Day-to-day managed cloud services (networking, RDS, serverless, cloud IAM) → use
cloud-engineer
- K8s cluster workload deploy, upgrades, and in-cluster troubleshooting → use
cluster-deployment-engineer
- Data center design, MEP, colo build, and facility commissioning → use
data-center-design-execution-lead
- Physical compute utilization, supply forecast, consolidation, refresh → use
data-center-compute-supply-efficiency
- Infrastructure org strategy, portfolio prioritization, board/CFO narratives → use
vp-of-infrastructure
- Cloud program strategy, migration portfolio, CCoE, EA governance → use
vp-of-cloud
- Customer RFP, discovery, PoC charter, solution handoff (not production build) → use
solutions-architect
Core Workflows
1. Infrastructure Design & Provisioning
Design checklist:
-
Define requirements
- Traffic patterns (steady, bursty, batch)
- Compliance needs (data residency, encryption)
- RTO/RPO targets
- Budget constraints
-
Choose compute model
| Model | When | Trade-off |
|---|
| VMs (EC2/GCE/VM) | Predictable workloads | Management overhead |
| Containers (EKS/GKE/AKS) | Microservices, portability | Orchestration complexity |
| Serverless (Lambda/Cloud Functions) | Event-driven, variable load | Cold start, limits |
| Bare metal | High performance, licensing | Full management burden |
-
Design network
- VPC/VNet with public/private subnets
- NAT Gateway for outbound-only workloads
- Transit Gateway for multi-VPC/VNet
- PrivateLink/Private Service Connect for SaaS
-
Provision with IaC
- Terraform for multi-cloud
- CloudFormation for AWS-only
- Pulumi for programmatic (Python/TS)
- Ansible for configuration management
2. CI/CD & Platform Automation
Pipeline essentials:
- Build → Test → Security scan → Deploy → Verify
- GitOps with ArgoCD/Flux for K8s
- Feature flags for progressive rollout
- Automated rollback on failure
3. Monitoring & Reliability
Observability stack:
- Metrics: Prometheus + Grafana, Datadog, CloudWatch
- Logs: ELK, Loki, Splunk
- Traces: Jaeger, Zipkin, AWS X-Ray
- Alerts: PagerDuty, Opsgenie, Alertmanager
Reliability patterns:
- Health checks: liveness, readiness, startup probes
- Circuit breakers: fail fast, degrade gracefully
- Rate limiting: token bucket, leaky bucket
- Bulkheads: isolate failure domains
4. Security & Compliance
Security by layer:
- Network: Security groups, NACLs, WAF, DDoS protection
- Identity: RBAC, least privilege, MFA, service accounts
- Data: Encryption at rest (KMS) and in transit (TLS 1.3)
- Application: Secrets management, vulnerability scanning
- Compliance: SOC 2, ISO 27001, GDPR, HIPAA controls
