AWS Cloud & DevOps Engineering
I design deployment and cloud operations around availability goals, least privilege and the team that will maintain the system.
What does this work deliver?
A more predictable release process and an operationally understandable cloud environment.
See the implementation in Fitter Health cloud delivery.
What problems does this solve?
Cloud complexity can grow much faster than a product's actual needs. Hosting needs to account for secrets, networking, databases, releases and recovery, without introducing services that nobody can operate safely.
Good fit for
- Teams shipping a containerized backend
- Organizations moving from manual deployments to CI/CD
- Product owners needing reliable AWS infrastructure and handover
1. Define workload and reliability requirements
I inventory application services, storage, data sensitivity, background queues and dependencies, then agree practical failure tolerance and cost limits. Choosing ECS, VMs or other managed services follows these requirements rather than a default architecture diagram.
Engineering checks
- Map critical dependencies
- Set backup and recovery objectives
- Estimate sustained and peak workload
2. Secure the deployment path
I separate credentials and environments, scope IAM roles and review network access to databases and services. Container build and release processes should be reproducible, with configuration owned outside source files and migrations planned explicitly.
Engineering checks
- Least-privilege IAM and secret handling
- Staged migrations and rollback
- Review VPC and database exposure
3. Test operating the system after launch
Health endpoints alone do not reveal failed notifications or stuck jobs. I use logs, metrics and alerts that relate to user outcomes, with a handover describing how to restore service. The goal is boring, observable reliability.
Engineering checks
- Monitor queue age and failed tasks
- Verify a backup restore path
- Document incidents and ownership
Expected result and engineering trade-off
A more predictable release process and an operationally understandable cloud environment.
Infrastructure should match the workload and support capacity; Kubernetes is not a requirement for every successful application.
Have a backend, data, or product challenge?
Review all service areas, see published work, or contact me about a role or project.
Let’s talk
I like working through complex problems with people who care about the details. Have a product to build, an engineering role, or an interesting challenge? Let’s start a conversation.
SaaimOpen to full-time roles, contract work, and conversations about things worth building.