12 settimane · intensivo
Per chi ha una scadenza
Circa 8 ore a settimana, in 1 ciclo concentrati sulle lacune che pesano di più.
Professione nel 2026 e 2027
A Cloud Engineer designs, builds and operates the infrastructure that applications run on in AWS, Azure or GCP, treating it as code. The work balances security, reliability and cost, so that teams can ship without worrying about the platform underneath.
Contenuto rivisto il 20 ottobre 2026
Senior
Designs the cloud platform that many teams build on, balancing isolation, connectivity, resilience, security and cost.
You decide how accounts are structured, how networks connect and how workloads scale and recover, and you review other engineers' designs. Your decisions apply to the whole organization, not to one service. The change from mid level is that you set the standards others follow and are accountable for how they hold up during an incident or an audit.
Punteggio medio richiesto: 72%
Infrastructure Modules & Reusability
Perché: You publish a module registry with versioning and upgrade paths, so fifty teams get a security fix by bumping a version rather than by patching fifty copies.
Multi-Account/Project Strategy
Perché: You design the account hierarchy and account vending, so a compromised dev account cannot touch production and a new team gets a guarded account in minutes.
VPN & Peering
Perché: You replace a mesh of peerings with a transit gateway and plan the routing, so a new region or data center joins without rebuilding every connection.
Private Connectivity (PrivateLink/Endpoints)
Perché: You route S3 and partner API traffic through endpoints and PrivateLink, so regulated data never crosses the public internet and the compliance review passes.
Cloud Security Posture Management
Perché: You turn CSPM from a list of alerts into org-wide guardrails with ownership and remediation SLAs, so the same misconfiguration stops reappearing across accounts.
Network Segmentation
Perché: You segment workloads with tight firewall rules and a WAF, so an attacker who lands on one compromised host cannot move laterally to the payment systems.
Auto-Scaling Strategies
Perché: You choose scaling policies per workload, such as scheduled for a known launch and target tracking for bursty APIs, so a traffic spike does not cause an outage or a runaway bill.
FinOps Practices
Perché: You set up showback and unit-cost metrics per team, so engineering sees cost per customer and chooses optimizations, instead of finance cutting budgets blindly.
Multi-Cloud Strategy
Perché: You judge whether a second cloud is worth its operational cost for a given requirement, and avoid lock-in where it matters, rather than adopting multi-cloud by default.
Disaster Recovery & Business Continuity
Perché: You pick a DR strategy such as pilot light or warm standby from the business RTO and RPO, and test it, so a region failure is a rehearsed procedure and not a surprise.
Cloud-Native Security Architecture
Perché: You build zero-trust and shift-left checks into the platform design, so insecure infrastructure code is blocked in the pipeline before it reaches an account.
Well-Architected at Depth
Perché: You run a Well-Architected review on a critical workload across all six pillars and turn the findings into a prioritized plan the team commits to.
Ogni livello di questa professione corrisponde a un percorso di studio. Leggi gratis la mappa completa degli argomenti, poi misura il tuo livello.
12 settimane · intensivo
Circa 8 ore a settimana, in 1 ciclo concentrati sulle lacune che pesano di più.
40 settimane · regolare
Circa 4 ore a settimana, in 3 cicli. Ogni ciclo porta con sé ciò che è rimasto dal precedente.
A Cloud Engineer designs, builds and operates the infrastructure that applications run on in AWS, Azure or GCP, treating it as code. The work balances security, reliability and cost, so that teams can ship without worrying about the platform underneath.
Cloud Engineer è mappato in 3 livelli: Mid-level, Senior e Expert. Apri ogni livello qui sopra per vedere le competenze da dimostrare.
Il piano prevede 2 ritmi: 12 settimane per livello, con circa 8 ore a settimana (intensivo) e 40 settimane per livello, con circa 4 ore a settimana (regolare).
Una sessione di studio per ogni nuovo argomento, al tuo livello.
Lezioni pratiche sull'uso dell'IA nel lavoro quotidiano della tua professione.
Ogni requisito si dimostra con una misura, non con una spunta.
Alla fine di ogni ciclo vedi cosa è avanzato e cosa passa al successivo.
Una breve diagnosi misura le competenze che hai già. Il percorso parte da lì.