Amazon Web
Services.
Application and data infrastructure, IAM, networking, compute, serverless, containers, delivery automation, monitoring, backup, and cost-aware operations.
Senior infrastructure engineering
We design, modernize, automate, and stabilize the infrastructure beneath real products—without separating cloud decisions from the application and business they support.
Start a cloud working sessionApplication and data infrastructure, IAM, networking, compute, serverless, containers, delivery automation, monitoring, backup, and cost-aware operations.
Cloud Run and container workloads, projects and IAM, data systems, APIs, delivery pipelines, observability, and production application architecture.
Vercel, Cloudflare, DigitalOcean, Railway, SaaS dependencies, legacy hosts, and the integrations that make a real architecture multi-platform.
The operating system beneath the product
Cloud work is not a separate diagram exercise. We connect infrastructure, application behavior, delivery practice, security, reliability, and cost.
Accounts and projects, network boundaries, identity, environments, secrets, logging, budgets, and a foundation the team can understand.
Infrastructure as code, CI/CD, release safety, artifact flow, environment promotion, and repeatable recovery.
Right-sized compute across containers, managed platforms, functions, queues, schedules, and event-driven systems.
Logs, metrics, traces, alerting, SLO thinking, backup, disaster recovery, performance, and incident learning.
Move or reshape applications and data without treating the current business as a blank slate.
Least-privilege access, secret handling, workload isolation, auditability, dependency review, and safer operational defaults.
When production is already talking
Failed releases, noisy alerts, runaway cost, brittle infrastructure, security concerns, slow systems, lost deployment knowledge, and incidents that keep returning.
Request production helpProtect customers and preserve evidence before making broad changes.
Trace the interaction—not only the first visible symptom.
Make the smallest safe change, validate it, and keep rollback available.
Improve signals, documentation, automation, and the next response.
Common engagements
Start with a senior working session for a bounded problem or use a platform sprint when the work needs ownership across multiple systems.
Map risk, cost, reliability, and delivery constraints into a practical improvement plan.
Make environments repeatable and releases observable, reviewable, and recoverable.
Move workloads, data, or deployment models with staged risk and clear cutover paths.
Add senior infrastructure and application depth directly to the team operating the product.
Why full-stack matters here
A cloud decision can change latency, data integrity, deployment safety, developer speed, and customer experience. We can follow that decision from the network and runtime through the API and interface.
Cloud questions
Yes. Most engagements begin in a live environment with existing applications, policies, tradeoffs, and technical history. We agree on least necessary access and preserve safe rollback paths.
No. We recommend the smallest useful change. Existing cloud and SaaS investments are part of the architecture, not an excuse to restart everything.
Yes. We can work with existing infrastructure as code, improve it, or introduce an appropriate repeatable path where infrastructure is still manual.
Yes. Embedded contract capacity can cover delivery systems, reliability work, platform improvements, reviews, and incident follow-through alongside your existing team.