Cloud engineering and architecture
Design and improve AWS, cloud-native, and hybrid infrastructure with clear boundaries, cost awareness, and delivery plans.
Senior hands-on consulting for teams that need reliable cloud infrastructure, practical automation, stronger delivery systems, and production-ready AI integration.
The work can start with a concrete delivery problem or a broader platform review. The common thread is pragmatic implementation: fewer handoffs, better operating habits, and clearer infrastructure decisions.
Design and improve AWS, cloud-native, and hybrid infrastructure with clear boundaries, cost awareness, and delivery plans.
Harden build pipelines, release workflows, deployment safety, environment promotion, and GitOps operating models.
Improve clusters, workloads, platform services, developer experience, runtime controls, and operational reliability.
Build maintainable Terraform, automation scripts, provisioning flows, policy checks, and repeatable environment setup.
Make systems easier to operate with useful metrics, logs, traces, runbooks, incident readiness, and practical SLO thinking.
Integrate AI tools into engineering workflows with guardrails, evaluation, infrastructure context, and safe adoption paths.
Engagement formats
SameBits can help as a hands-on implementer, technical advisor, or fractional platform engineer depending on the project stage and team capacity.
Hands-on implementation for focused cloud, DevOps, automation, or AI integration work.
Short or medium-term senior support for teams that need technical direction and execution.
Independent review of platform design, cloud tradeoffs, delivery risks, and implementation sequencing.
A time-boxed push to unblock pipelines, infrastructure automation, Kubernetes work, or AI workflow adoption.
Ongoing senior platform engineering help without hiring a full-time specialist.
Good consulting should leave more than advice. The goal is to ship useful changes, reduce operational drag, and leave the team with clear next steps.
Clarify the project goal, current bottlenecks, infrastructure state, delivery risks, and team constraints.
Separate urgent implementation work from architecture decisions, cleanup, and long-term platform improvements.
Ship the highest-leverage changes in infrastructure, automation, CI/CD, observability, or AI workflows.
Turn repeated manual work into reliable scripts, pipelines, checks, templates, or platform workflows.
Document the decisions, tradeoffs, runbooks, and operating model so the team can keep moving.
If your project starts broad, it can still connect into deeper SameBits work around agent readiness, platform reliability, architecture, and AI-accelerated delivery.
Evaluate AI SRE, Kubernetes, and DevOps agents before production access.
Platform reliability, GitOps, CI/CD, and observability services.
Pragmatic architecture, cost-aware systems, and delivery planning.
Integrate AI tooling into engineering workflows without losing quality.
Bring the infrastructure problem, delivery bottleneck, automation idea, or AI workflow you want to make production-ready.