HB
Staff SRE · FinOps · MLOps

Senior Infrastructure & AI Cloud Services

Eliminate cloud GPU waste, stabilize RAG retrieval, and operate high-availability Kubernetes infrastructure with senior-level SLA discipline across AWS, GCP, Azure, and Bare Metal.

20 MinutesZero Risk

Free 20-Min Infra Scan

$0

A live, engineer-to-engineer teardown of your cloud architecture, GPU bills, and bottlenecks. No sales deck, only technical analysis.

Key Deliverables:
Live screen share review of AWS/GCP/Azure Cost Explorer & architecture
Identification of idle compute, over-provisioned GPUs, and egress traps
Actionable 1-page written teardown with estimated dollar savings
2-Week EngagementMost Popular

Deep Infra Audit & Remediation

$2,500

A comprehensive, line-item architectural teardown and hands-on remediation roadmap for teams spending $5K–$50K/mo on cloud infrastructure.

Key Deliverables:
Line-item cloud bill teardown & GPU utilization profiling
Kubernetes / container autoscaling & node consolidation blueprint
RAG, vector database & database query optimization plan

Identifies at least $10,000 in annualized cloud/AI waste within 14 days, or 100% refunded.

2-3 Week BuildTargeted Build

Implementation Sprint

$5,000

Hands-on execution sprint to build, deploy, or migrate a specific infrastructure system, GPU inference pipeline, or GitOps cluster.

Key Deliverables:
End-to-end Terraform / Kubernetes infrastructure provisioning
Production vLLM/llama.cpp inference or Karpenter spot deployment
Automated CI/CD pipelines with zero-downtime canary rollouts

100% codified in Terraform/Kubernetes with interactive runbooks and zero vendor lock-in.

Monthly RetainerOngoing Partner

Fractional Staff SRE & MLOps

$8,000+/ month

Dedicated senior infrastructure ownership for post-PMF startups needing high uptime, ongoing cost governance, and SLA discipline without a $180K+ US FTE.

Key Deliverables:
Scheduled working overlap agreed for your team
Agreed availability targets with error-budget tracking
Continuous model serving performance tuning, quantization & caching

Service targets, response windows, and escalation coverage agreed in the engagement scope.

Interactive Scope BuilderCustomizable & Multi-Cloud

Build Your Custom SRE, FinOps & MLOps Scope

Pick your engagement tier, cloud platforms, and exact technical capabilities. When you click Book Me, your custom brief is generated instantly so you can review or send it in one click.

$2,500 · 2-Week Engagement
$15,000 - $30,000 / mo
Click to toggle items
FinOps & Cloud Cost OptimizationLine-item cloud bill teardowns, right-sizing, spot autoscaling, and egress elimination with documented cost comparisons.
2 / 5
MLOps & GPU Model ServingProduction inference engines, self-hosted GPU colocation, continuous batching, and cost-per-token engineering.
1 / 5
Kubernetes & Platform EngineeringHigh-resilience Kubernetes platforms, GitOps automation, and infrastructure as code with documented operations and ownership.
1 / 5
SRE, Observability & Incident ResponsePrometheus/Grafana telemetry, error budget tracking, incident response runbooks, and zero-downtime deployments.
1 / 5
Security, Compliance & Multi-CloudSOC 2, HIPAA, and PCI-DSS infrastructure hardening, zero-trust IAM policies, and secret management.
0 / 5
Configured Scope SummaryReady for Engineer Review
$2,500
Model:Deep Infra Audit & Remediation
Timeline:2-Week Engagement
Cloud Stack:AWS
Spend Range:$15,000 - $30,000 / mo
Active Focus Areas:5 items
Spot Instance & Dynamic Autoscaling Automation
NAT Gateway & Cross-AZ Network Egress Bypass
Self-Hosted Inference (vLLM / llama.cpp / Triton)
Karpenter Fast Node Consolidation & Spot Bin-Packing
Prometheus, Grafana & OpenTelemetry Observability

Identifies at least $10,000 in annualized cloud/AI waste within 14 days, or 100% refunded.

Direct Calendar LinkPST / EST / AEDT overlap

Core Technical Specializations

Deep engineering execution across model serving, cloud architecture, reliability, and security:

1. SRE & Platform Engineering

Kubernetes platforms, service targets, monitoring, and incident response. I help the team understand capacity limits and maintain the system after delivery.

Measured Deliverables:
Node readiness and capacity testing
Zero-downtime blue-green & canary rollouts
SLO error-budget burn rate alerting

2. FinOps & Cloud Cost Optimization

A review of your cloud bill and workload, followed by prioritized changes to compute, storage, and networking. Savings estimates include the cost of implementation.

Measured Deliverables:
Workload-specific cost comparison
Network route and egress review
Implementation cost and payback estimate

3. MLOps & LLM Infrastructure

Model serving with vLLM or llama.cpp and retrieval pipelines with explicit evaluation. We compare quality, latency, and operating costs before choosing the deployment.

Measured Deliverables:
Managed API vs self-hosted comparison
Continuous batching & PagedAttention KV cache
Retrieval evaluation and failure analysis

4. Security, Compliance & Governance

SOC 2, HIPAA, and PCI-DSS infrastructure hardening, zero-trust IAM policies, HashiCorp Vault secrets management, and automated vulnerability scanning for mission-critical production workloads.

Measured Deliverables:
100% IAM least-privilege & temporary STS access
Encrypted VPC peering & isolated bastions
Auditable Infrastructure as Code (IaC)

Collaborating with engineering teams across the US, Canada, and Australia. Remote-first, async-disciplined, with dedicated daily timezone overlap (PST, EST, and AEDT).

Frequently Asked Questions

How do you structure engagements with remote startups in the US, Canada, and Australia?

We agree overlap hours and response expectations before starting. Written updates and scheduled calls keep the team informed across timezones.

How quickly do FinOps optimizations deliver a return on investment?

Timing depends on the change, existing commitments, and traffic. We estimate implementation cost and compare the next relevant billing period after rollout.

Do clients retain full ownership of the code and infrastructure?

Yes, 100%. All infrastructure is codified in standard Terraform and Kubernetes manifests pushed directly to your private GitHub/GitLab repositories with zero vendor lock-in.

Can we customize our service scope across multiple cloud providers or hybrid bare-metal?

Yes. Whether you operate entirely on AWS, GCP, Azure, or maintain hybrid bare-metal GPU colocation, the service scope is tailored to your exact stack, compliance requirements, and business goals.

Have a custom cloud infrastructure challenge?

Start with a free 20-minute scan. I evaluate your current compute bottlenecks and provide an actionable technical roadmap with zero obligation.

Book Free 20-Min Infra Scan