PLATFORM ENGINEERING, ON SUBSCRIPTION

You build the product
We build the platform

An embedded platform engineering team that plans, builds, and operates the infrastructure behind your software - from $20k per month.

// Scope
Platform, reliability, developer experience
// Model
Subscription, not staffing
// Standard
Own it. Ship it. Operate it.

01 / WHAT WE SOLVE

The platform problems
that slow teams down.

The systems that help product engineers ship, scale, and operate with confidence.

Platform engineering

Build the cloud foundation your product team should not have to maintain alone.

  • Kubernetes and cloud architecture
  • Terraform and infrastructure automation
  • CI/CD, networking, and secrets
See ownership tiers

AI infrastructure

Move AI workloads from experiment to dependable production systems.

  • GPU infrastructure and model serving
  • vLLM, Ollama, and inference optimization
  • Vector databases and RAG infrastructure
See ownership tiers

Reliability

Know what is happening in production and be prepared when it is not.

  • Monitoring, alerting, and logging
  • Incident readiness and backup strategy
  • Capacity planning and cost optimization
See ownership tiers

Developer experience

Make the right way to ship the easy way to ship.

  • Internal platforms and golden paths
  • Self service deployments
  • Environment and delivery automation
See ownership tiers

02 / ENGAGEMENT LEVELS

Choose the scope
we are accountable for.

The difference is not hours. It is the size of the problem, the number of people and systems it touches, and whether we own a defined outcome, an initiative, or an ongoing platform domain.

$20k/mo

Foundation

Focused ownership for one defined platform outcome that needs to move now.

For a product team that needs one important platform problem solved without building a platform function first.

  • One active workstream, such as a cloud foundation, delivery path, or production-readiness baseline
  • Direct implementation in your environment, with weekly planning and decisions shared in Linear
  • Documentation and a repeatable operating path your team can use after the work lands
Discuss Foundation

$45k/mo

Platform Partner

A focused engineering team that carries a defined initiative from technical direction through operation.

For a growing engineering organization with a platform initiative that crosses teams and needs active delivery ownership.

  • One coordinated initiative, such as a migration, reliability program, developer platform, or AI serving capability
  • Technical direction, sequencing, and dependency management across the people involved
  • Implementation, operating readiness, and iteration after the first release
Discuss Platform Partner

$75k/mo

Platform Organization

A complete engineering team that plans, delivers, and operates a critical platform domain.

For a business where platform reliability, delivery, or AI infrastructure is a standing operating responsibility.

  • Domain-level ownership across priorities, architecture, delivery, and operations
  • Ongoing technical and product planning with a visible delivery and operating cadence
  • Continuous reliability, cost, and developer-experience improvements as the business changes
Discuss Platform Organization

03 / HOW THIS LOOKS IN PRACTICE

Start with the problem.
Leave with a working system.

These are illustrative engagements, not promises or case studies. They show the shape of the work each level is designed to own.

// Foundation

A 12-person product engineering team preparing a new B2B application for production.

The challenge

Deployments are manual, infrastructure lives in people’s heads, and there is no dependable way to see or recover from production failures.

How Parker Labs helps

Parker Labs establishes infrastructure as code, a deployment path, monitoring, backups, and the documentation needed to operate the service.

// Platform Partner

A 45-person engineering organization whose product teams are slowed by a legacy deployment and cloud footprint.

The challenge

A migration has stalled because nobody owns the target architecture, the delivery sequence, or the risk of operating both systems during the transition.

How Parker Labs helps

Parker Labs plans and executes the migration path, builds the platform capabilities teams need, and stays through cutover and stabilization.

// Platform Organization

A software company running multiple product teams and a business-critical production platform.

The challenge

Reliability, capacity, delivery, and infrastructure costs compete with roadmap work because no one team owns the platform as a product.

How Parker Labs helps

Parker Labs operates the platform domain, turns recurring operational pain into planned improvements, and gives product teams a dependable path to ship.

04 / ANNUAL INVESTMENT

A transparent reference
for the hiring decision.

These are reference U.S. annual hiring costs, not a bespoke ROI calculation. They make the staffing alternative visible before a conversation.

Swipe horizontally to compare all columns.

Foundation

$240k/year

1 senior platform engineer

$270k/year$185k cash compensation + $85k benefits

$30k/year lower

Platform Partner

$540k/year

2 senior platform engineers + 0.5 platform lead

$710k/year$485k cash compensation + $225k benefits

$170k/year lower

Platform Organization

$900k/year

3 senior platform engineers + 1 platform lead

$1.15m/year$785k cash compensation + $365k benefits

$250k/year lower

Equity, recruiter fees, equipment, and ramp time are not included. Actual costs vary by market and organization. This is a reference model, not a savings guarantee.

05 / HOW WE WORK

A working system,
not a black box.

Parker Labs works inside your environment, shares the decisions and the work, and stays accountable as the platform changes.

// SUBSCRIBE

Choose your level of ownership.

Start with the scope your business needs now, without hiring for every new platform priority.

// CONNECT

Work inside your environment.

We connect to your cloud, systems, and team, then establish a shared view of the work.

// OPERATE

Plan, build, and operate.

We make technical decisions, deliver the work, and stay accountable as the platform evolves.

// EVERY ENGAGEMENT INCLUDES

Visibility, decisions, and context that stay with the work.

Dedicated platform engineering team

The right level of engineering ownership for the work in front of you.

Shared Linear workspace and Slack collaboration

A clear view of priorities, decisions, and work in progress.

Weekly planning and technical decision making

The operating rhythm and judgment that keep work moving.

Infrastructure ownership

A team accountable for building, operating, and improving the platform.

Documentation and collaboration

Context that stays with the work and is accessible to your team.

Predictable monthly pricing

One subscription, with no hourly billing or surprise statements of work.

06 / FAQ

No mystery
in the model.

Why subscribe instead of hire?

Hiring is a long term investment that takes time and carries execution risk. A subscription lets you add the right level of engineering ownership immediately, then change that level as the business changes.

How quickly can we start?

After you subscribe, we provision your workspace in Linear, connect communication with your team, and set up the access needed to begin work. Then we establish priorities and start moving the highest leverage work forward.

What does a subscription include?

The subscription covers the level of engineering ownership described by your tier. There is no hourly billing or separate statement of work for each new priority.

Can we change tiers?

Yes. The model is designed to match changing business needs. Move from focused execution to initiative or domain ownership when the work requires it.

Can you work with our existing infrastructure and team?

Yes. Parker Labs integrates into the systems and operating cadence already in place, then improves the parts of the platform or product domain that are slowing the business down.

Do you support AI workloads?

Yes. We support production AI infrastructure, including GPU capacity, model serving, inference optimization, vector databases, RAG systems, and the operational layers around them.

// READY TO DEPLOY

Bring us the problem
you cannot ignore.

Start a conversation when you are ready to get moving and find the right level of platform ownership.

Start a conversation