Hire senior AWS engineers in your time zone.

A senior AWS engineer is responsible for more than keeping servers running, they own the tradeoffs between cost, reliability, and velocity that shape how the rest of the engineering team ships and operates software. On most teams, this role sits at the intersection of infrastructure, security, and developer experience.

In practice, that ownership includes:

• Designing infrastructure as code so environments are reproducible, reviewable, and not dependent on manual console changes
• Building CI/CD pipelines that let developers ship confidently, with appropriate testing and rollback paths built in
• Setting up monitoring and alerting that surfaces real problems early, rather than generating noise that gets ignored
• Managing IAM and network security so access follows least privilege without making day-to-day work painful for the team
• Owning cost visibility and optimization, since AWS bills can grow quietly if nobody is watching resource usage

Seniority in this role shows up in judgment about which AWS services to use and which to avoid. It is easy to reach for every managed service AWS offers; a senior engineer knows when a simpler approach reduces both cost and operational complexity, and when a managed service is genuinely worth its overhead. It also shows up in how someone handles incidents: a senior AWS engineer treats an outage as a chance to fix the underlying gap in monitoring or architecture, not just restart the affected service and move on.

On teams without a dedicated platform group, a senior AWS engineer often becomes the person other engineers go to before making any infrastructure decision, from database sizing to how a new service should be deployed. That combination of technical depth and practical judgment is what BetterEngineer screens for directly, not just familiarity with a long list of AWS service names.

AWS offers hundreds of services, and no one engineer needs to know all of them deeply. What matters is fluency in the core services your infrastructure actually depends on, and enough breadth to know what else exists when a new problem calls for it.

Compute and containers. EC2 remains the foundation for virtual machine based workloads, while ECS and EKS handle container orchestration for teams running Docker-based services. A senior candidate should be able to explain when a managed container service is worth its added complexity versus a simpler EC2-based deployment.

Storage and databases. S3 is the default for object storage and often sits at the center of data pipelines, backups, and static asset hosting. RDS handles managed relational databases (PostgreSQL, MySQL, and others), and DynamoDB covers use cases needing a managed NoSQL store at scale. Understanding the tradeoffs between these, and when a self-managed database might still make sense, is a mark of real experience.

Serverless. Lambda, paired with API Gateway and DynamoDB, is a common pattern for event-driven and low-traffic or highly variable workloads. Candidates should understand cold starts, execution limits, and when serverless genuinely simplifies operations versus adding unnecessary complexity for a steady-state workload.

Infrastructure as code. Terraform is the most widely used tool for defining AWS infrastructure in a reviewable, version-controlled way, with CloudFormation as the native AWS alternative. Any senior candidate should be uncomfortable making significant infrastructure changes by hand in the console.

CI/CD and delivery. Whether the pipeline runs on Jenkins, GitHub Actions, or AWS's own CodePipeline, the underlying skill is the same: building deployment automation that catches problems before they reach production.

When hiring, it helps to be specific about which of these areas your infrastructure actually leans on, since a team running a serverless-first architecture has different needs than one running a fleet of EC2 instances behind a traditional CI/CD pipeline.

AWS certifications are common and easy to obtain relative to the depth of judgment the role actually requires, so certifications alone are a weak signal. A structured evaluation should focus on real infrastructure decisions rather than service trivia.

Start with infrastructure they have actually operated. Ask candidates to walk through an environment they designed and ran in production, including how they handled scaling events, outages, or a security incident. This reveals whether someone has genuinely owned infrastructure or has only worked within guardrails someone else built.

Review their infrastructure as code practices. Ask how they structure Terraform modules, manage state, and handle changes across environments. Candidates who cannot explain their approach to state management or module reuse likely have limited hands-on IaC experience.

Check security judgment directly. Ask how they approach IAM policy design, secrets management, and network segmentation. Look for a least-privilege mindset rather than a default to broad permissions for convenience.

Probe cost awareness. Ask about a time they identified and reduced unnecessary cloud spend. Engineers who have never looked at a cost and usage report may build technically sound but expensive infrastructure.

Assess incident response experience. Ask about a real outage: what the monitoring showed, how they diagnosed it, and what changed afterward. Strong candidates treat postmortems as a chance to close gaps, not just restore service.

BetterEngineer runs this kind of technical evaluation, covering infrastructure as code, security, and cost discipline, before candidates are ever presented, so you are speaking with engineers who have already cleared this bar.

Quick evaluation checklist:

• Ask for production examples of infrastructure they have designed and operated
• Review their approach to infrastructure as code and version control practices
• Check how they handle security: IAM design, least privilege, and secrets management
• Probe cost optimization experience: reserved instances, right-sizing, and spend monitoring
• Assess incident response experience: monitoring, alerting, and postmortems