Services

Three engagement models, one sprint cadence.

Whether you need a single senior contractor by next week, a permanent core engineer dialed into a long-term mission, or a fully formed pod ready to own a product surface — SprintHire deploys talent on the same agile cadence your team already trusts.

Agile Contractor Placement

Senior independent specialists deployed against a discrete mission. Ideal for surge capacity, focused expertise injections, or 90-day delivery sprints.

  • 48–96 hour shortlist
  • Weekly retro telemetry
  • Contract-to-hire optional

Core Engineer Sourcing

Full-time permanent placement of senior ICs and engineering leaders into roles that anchor your roadmap for years, not quarters.

  • Architecture-deep calibration
  • Leadership pairing
  • 30-day replacement guarantee

Team Assembly & Pods

Pre-assembled pods that have already shipped together. Drop in a platform, growth, ML, or modernization squad and skip team-formation lag.

  • 3–8 person pods
  • Embedded tech lead
  • Shared retro with your team

Agile sourcing flowchart

How a requirement becomes a placement.

Every engagement runs through the same observable pipeline. You can subscribe to any stage and see exactly what's happening, who's moving, and where the bottleneck is.

STEP 1

Intake

Mission charter, success metrics, governance touchpoints.

STEP 2

Graph match

Bench scan plus warm referral activation across your stack.

STEP 3

Calibration

Technical pairing, architecture conversation, async fit check.

STEP 4

Place & sustain

Offer engineering, onboarding plan, telemetry handoff.

Capability coverage

The competencies our placement pods specialize in.

We don't try to staff everything. Our depth is concentrated where modern product engineering meets cloud platforms, distributed systems, and applied AI.

Applied AI & ML Engineering

From LLM application engineering to MLOps platforms and applied research roles. We source the rare practitioners who can move models out of notebooks and into shipped product.

Cloud Platform & SRE

Kubernetes, Terraform, observability, developer experience. The engineers who keep the lights on at scale and make the rest of your org faster.

Product & Growth Engineering

Full-stack ICs who own surfaces end-to-end, ship experiments weekly, and operate fluently between the design system and the data warehouse.

Competency
Bench depth
Tier
  • Senior Full-Stack Engineer
    S+
  • Staff / Principal Engineer
    S
  • Engineering Manager
    S
  • Platform / DevEx Engineer
    S
  • Applied ML Engineer
    A+
  • Mobile Engineer
    A

Pod catalogue

Pre-assembled squads ready to onboard this sprint.

Each pod ships with a tech lead, working agreements, and a track record of production delivery together. Start with a pod, scale or split as your roadmap evolves.

On bench

Platform Pod

K8sTerraformGo
On bench

Growth Pod

ReactNextA/B
On bench

AI App Pod

LLMRAGVector
On bench

Data Pod

SnowflakedbtAirflow
On bench

Mobile Pod

SwiftKotlinRN
On bench

Modernization Pod

.NETJavaAWS
On bench

API Pod

GraphQLgRPC
On bench

Security Pod

AppSecCloud

Not sure which model fits?

Send a brief and a sprint lead will route you to the right engagement model in the first reply.

Submit a requirement