Consulting · Forward Deployed Engineering

Senior engineers, embedded — from signal to steady state.

Forward Deployed Engineers are senior cloud architects who embed directly with your team. Not a ticket queue. Not a slide deck. They know your architecture and your constraints, pair with your engineers to ship the fixes inside your guardrails and approval flow, and own the outcome until the savings hold in production.

Embedded experts Outcome-owned Your guardrails
Signal → steady stateownedSignalTriageShipSteady statewe don't send alerts — we ship the fix
Week 1
first fixes shipped
6 disciplines
owned end-to-end
Read-only → approved
safe by design

An extension of your team

A senior crew that works alongside you, not from a distance: a Forward Deployed Engineer who ships, a success manager who clears blockers, and procurement specialists who handle the commercials — added capacity without added headcount.

  • Senior cloud architect, embedded
  • Success manager keeps priorities tight
  • Procurement on commitments & discounts
An extension of your teamembeddedYour team+ Optmin crewForward Deployed EngSuccess managerProcurement

Implementation, not recommendations

Your FDE does the work and measures the result — rightsizing, commitment purchases, Kubernetes tuning, tagging and the IaC changes that make them stick. Findings mapped to business impact, then shipped.

  • Rightsizing, scheduling & cleanup
  • RI / Savings Plan / CUD execution
  • Kubernetes & workload tuning, in IaC
Shipped this month−$165kRightsized 142 instances−$38kBought Savings Plans−$92kDeleted idle volumes−$11kTuned 9 K8s deployments−$24k

Savings that compound, week over week

They work in your sprints, your Slack and your Jira or Linear — read-only first, every change behind your approval — so the ramp is steady and reversible, and reliability is protected as cost comes down.

  • In your sprints, Slack and tickets
  • Read-only first, change on approval
  • Outcomes owned, verified in FOCUS
Savings rampcompoundingcumulative savings · week 1 → 8
Challenges we solve

Most savings die in a backlog.

Recommendations pile up faster than any team can action them. The gap isn't insight — it's hands on the keyboard.

The challenge

The fixes never get prioritized

Cost work always loses to the product roadmap, so recommendations age in a backlog nobody owns.

How OPTMIN solves it

Your FDE treats the cost surface as their roadmap — the fixes ship because shipping them is their job.

The challenge

Alerts aren't fixes

Tools raise alarms; someone still has to design, test and deploy the actual change.

How OPTMIN solves it

We map each signal to business impact and implement the change alongside your engineers, at scale.

The challenge

Knowledge leaves with the consultants

A delivery team hands over a deck and you're on your own again.

How OPTMIN solves it

FDEs work in your sprints and tickets, document as they go, and hand back a self-sufficient team.

The challenge

Change near production is scary

Nobody wants an outside team mutating prod without controls.

How OPTMIN solves it

Read-only first, every change behind your approval and reversible — reliability protected as cost comes down.

Six disciplines your FDE owns

Real work, across the whole cloud surface.

Senior engineers who own outcomes — backed by the agents and the platform.

AI & LLM optimization
Fewer tokens, right-sized GPUs, smarter inference — same results, far less spend.
Cost optimization
Finds the savings and implements them the same week — then moves to the next.
Reliability & incidents
Designs for uptime under real load; diagnoses root cause when production breaks.
Kubernetes tuning
Requests, limits, autoscaling and replica drift, dialed in cluster by cluster.
Migration support
Plans and de-risks moves across regions, providers and architectures.
Security & governance
Least-privilege defaults, drift detection and prioritized fixes with owners.
How we work

Kickoff, ship, prove it.

A structured engagement that ships real changes — not a ticket queue, not a consulting deck.

1

Kickoff

We align on services, SLOs and the 'pain now' list, connect read-only, and map the highest-impact starting points.

2

Ship & automate

We implement fixes under your approvals and turn the repeatable ones into policy-driven automation.

3

Prove it & hand off

We verify the savings landed in FOCUS, document, and hand back a team that can keep it optimized.

Get the fixes shipped, not shelved

Embed a Forward Deployed Engineer with your team this sprint and go from signal to steady state.