Case study
Software engineering augmentation for a Melbourne SaaS scale-up
The challenge
The client had a 12-month product roadmap and an internal engineering headcount plan it could not execute against. Melbourne and Sydney's tight market for senior engineers meant open roles sat unfilled for months, and several enterprise customers had written data residency requirements into their contracts, ruling out routing the work through an offshore team. The client needed engineering capacity fast, inside Australia, without lowering its hiring bar or handing an outside vendor the whole roadmap.
What Corpshore did
The engagement began with a 4-person squad, two backend engineers, one frontend engineer and a tech lead, embedded under the client's VP of Engineering. Over five months this grew to 9, adding a second frontend engineer, a QA engineer and a DevOps engineer as scope extended from one roadmap workstream to three. Headcount growth tracked the client's actual roadmap commitments rather than being set in advance. The squad worked in a hybrid pattern, in the client's office two or three days a week and remote the rest, embedded inside the client's own engineering organisation and using its tooling, sprint cadence and code review standards rather than working as a separate offshore unit.
Delivery model
Onshore delivery from Melbourne, hybrid in-office and remote, embedded directly inside the client's engineering organisation.
Compliance handling
Because delivery stayed entirely onshore in Melbourne, the client's enterprise data residency commitments were met without needing to rely on the Australian Privacy Principle 8 cross-border disclosure exception at all, since no personal information left Australia as part of this engagement. The client's own obligations under the Privacy Act 1988 and the Australian Privacy Principles for data the squad could access during development were handled through standard access controls and the client's existing security review process, with Corpshore's practices aligned to the Essential Eight framework. As the employer of the embedded engineers, Corpshore met its own obligations under the Fair Work Act, including National Employment Standards entitlements and the relevant Modern Award classification for the roles involved, so the client did not carry employment-law exposure for staff it did not itself employ.
Results
- 28%
- Lower cost vs hiring permanent Melbourne engineers
- 22%
- Higher sprint velocity, month 2 to month 5
- 8 wks
- To first commits inside the client's codebase
The client shipped two roadmap items in the first two quarters that its own hiring plan had projected would take four quarters, given how long the open backend roles had already sat unfilled. Engineering cost for the augmented capacity ran approximately 28 percent below the client's fully loaded cost of hiring equivalent permanent Melbourne engineers directly, once recruitment costs, superannuation and onboarding time were factored in, a more modest saving than an offshore arrangement would produce but consistent with an onshore, data-resident model. Sprint velocity for the workstreams the squad owned increased by 22 percent between month two and month five. Commercial figures quoted are exclusive of GST, which applies as a standard domestic supply.
Sprint velocity index for squad-owned workstreams
| Stage | Value |
|---|---|
| Month 2 | 100 |
| Month 5 | 122 |
Indexed to month 2 as a baseline of 100.
We needed engineers who could sit in our standups and touch production code without an enterprise customer asking where their data went. That's a narrower brief than most outsourcing conversations, and it's the one that mattered to us.
Why it worked
This was a narrower brief than most outsourcing conversations, engineers who could sit in the client's standups and touch production code without an enterprise customer asking where their data went, and staying strictly onshore is what made that brief deliverable.
Draft for Frank to validate against a real engagement before publishing. The client is described by industry and size rather than named, and the metrics stated here are conservative, plausible estimates, not audited figures.
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