Hire AWS Cloud Engineers & Architects

A Kultrix AWS engineer designs, builds, and maintains cloud infrastructure — not just setting up services in the console, but writing infrastructure-as-code with Terraform, implementing CI/CD pipelines, configuring security controls, establishing observability, and making architectural decisions about which AWS services to use and how to connect them. They own the infrastructure the same way a software engineer owns the application code.

Standard placement is 48 hours from contract signing. For engineers with specific AWS certifications or experience in regulated industries (HIPAA, PCI-DSS, FedRAMP), one week is typical. We match engineers based on both AWS breadth and the specific compliance or architectural context of your project.

Terraform is our default infrastructure-as-code tool — it is cloud-agnostic, widely adopted, and has excellent tooling for state management and collaborative workflows. We use AWS CDK when a project is already invested in it or when the team strongly prefers programming language-native infrastructure. Both approaches produce version-controlled, reproducible infrastructure.

Yes. Multi-environment setups (dev, staging, production, sometimes region-specific) are a standard part of our AWS engagements. We use AWS Organisations for account separation, Terraform workspaces or separate state files per environment, and IAM permission boundaries to prevent cross-environment access. Environments are identical by infrastructure definition, reducing the "works on staging, breaks on production" class of problems.

Security is configured from the first resource, not added later. We apply least-privilege IAM policies, encrypt data at rest and in transit, segment networks with VPCs and security groups, enable CloudTrail and Config for audit visibility, configure GuardDuty for threat detection, and manage secrets with AWS Secrets Manager rather than environment variables. For regulated workloads, we implement controls that map to HIPAA, SOC 2, or PCI-DSS requirements.

Yes. Cloud migrations from Azure, Google Cloud, or on-premises data centres are a common Kultrix engagement. We start with a discovery and assessment phase — inventorying workloads, mapping dependencies, and producing a migration plan with phases and risk assessment. We favour re-platforming to AWS managed services where the business case is clear, rather than a pure lift-and-shift that carries technical debt into the cloud.

Cost optimisation starts with visibility — we set up AWS Cost Explorer, Cost Anomaly Detection, and resource tagging to identify what is spending money and what is wasted. Common improvements include right-sizing EC2 instances, replacing always-on instances with auto-scaled or serverless alternatives, purchasing Reserved Instances or Savings Plans for stable workloads, and eliminating idle resources like unused EBS volumes or idle load balancers.

Yes. CI/CD pipeline configuration is a standard deliverable. We use GitHub Actions with OIDC-based AWS authentication (no long-lived access keys), ECR for container image storage, CodeDeploy or ECS rolling deployments, and CloudFormation stack deployment. Pipelines include automated testing, security scanning, and manual approval gates for production deployments.

Yes. Disaster recovery architecture depends on your RTO and RPO targets. We implement backup-based recovery with AWS Backup, pilot-light or warm-standby setups with cross-region RDS read replicas, or active-active multi-region architectures for zero-downtime requirements. We document the runbook and test the recovery procedure, not just configure the resources.

We instrument applications with structured logs (sent to CloudWatch Logs), metrics (CloudWatch Metrics or Prometheus via Amazon Managed Service for Prometheus), and distributed traces (AWS X-Ray or OpenTelemetry). Dashboards, alerts, and on-call runbooks are part of the setup — we do not consider a service production-ready until it has meaningful alerting on business-critical paths.

The minimum engagement is one month. Infrastructure projects often have a concentrated build phase followed by an ongoing maintenance and evolution retainer. Most clients transition to a lighter retainer after the initial build to cover ongoing management, incident response, and platform changes.

Monthly retainer and time-and-materials models are both available. Infrastructure work often benefits from a retainer to ensure consistent availability for operational needs alongside planned project work. Both models include weekly progress reports, transparent timesheets, and a dedicated account manager.