Consulting engagements
Enterprise-grade cloud, DevOps, AI infrastructure and Microsoft 365 engagements — advisory, project delivery, retainers and fractional platform leadership for teams that need senior judgment without agency overhead.
Expertise
On this page
Cloud, DevOps, identity and AI infrastructure across regulated and high-growth teams.
Worldwide engagements with agreed overlap for steering, incidents and workshops.
Mutual confidentiality before detailed architecture or read access discussions.
Scoped success criteria — advisory, project, retainer or fractional leadership.
Engagements
Clear engagement models for leadership and procurement — from focused advisory to ongoing platform ownership.
Focused sessions with clear outcomes.
Best for
Scoped delivery with milestones.
Best for
Steady access for operations and leadership.
Best for
Senior judgment without a full-time hire.
Best for
Capabilities
Scoped outcomes across cloud, DevOps, AI infrastructure, identity and governance — aligned in discovery before any commitment.
Outcomes
Anonymized patterns from real work — measured against your baselines, not fabricated benchmarks.
FinOps & architecture
Multi-account AWS estate with finance escalation, unclear cost ownership and rising run rate.
Rightsizing, transfer hygiene and purchasing discipline brought recurring spend under control — with engineering buy-in and tagged accountability.
AI infrastructure
GPU-backed inference with intermittent saturation, weak queue discipline and noisy on-call during spikes.
Scaling signals, queue governance and observability stabilized customer-facing latency and reduced incident churn.
DevOps & delivery
Growing SaaS surface with fragmented pipelines, environment drift and manual release checks.
CI/CD standards and environment parity reduced failed releases and accelerated confident rollouts.
Approach
A predictable path from discovery through steady-state improvement — with clear ownership and acceptance criteria.
Understand infrastructure, risks, bottlenecks and business goals — with the right stakeholders in the room.
Produce a prioritized roadmap: impact, effort and dependencies — so leadership and engineering share one plan.
Execute using production-grade practices: change windows, rollback paths and measurable acceptance criteria.
Continuous improvement across governance, security, performance and cost — not a one-off handoff.
Differentiation
Senior operational depth — governance, reliability and cost discipline without generic agency churn.
Enterprise-focused mindset: governance, change control and auditability
Production-first approach: reliability over novelty
Strong awareness of identity, access and data paths
Automation-driven operations that reduce recurring toil
Cost-conscious architecture without sacrificing safety
Deep operational experience across clouds and platforms
AI infrastructure patterns grounded in inference and cost reality
Business and technical framing so tradeoffs are explicit
Problems
If these sound familiar, you are buying risk reduction and operational clarity — not generic hours.
Fit
Best suited for regulated, scaling or platform-heavy environments.
Stack
Representative platforms across cloud, delivery, observability and identity.
Availability
Response windows, overlap hours and escalation paths are agreed in writing during intake — no surprise timezone gaps.
Connect
FAQ
Yes. Engagements are remote-first with overlap hours agreed for workshops, incidents and steering reviews.
Yes — retainers and fractional leadership are the most common model after an initial audit or stabilization phase.
Yes. I embed alongside your engineers and platform owners; the goal is durable capability, not dependency.
Standard mutual NDAs are part of the intake process before detailed system discussions or read access.
Yes — including identity, networking and cost patterns across both, plus hybrid and edge considerations where relevant.
Start with a consultation or scoped audit — we align engagement model, access and success criteria before any commitment.