Executive Summary
Per hire cost comparisons answer the wrong question. They tell you what one engineer costs this year, which is useful for a budget line and useless for a capability decision.
Total cost of ownership asks something different. Over three to five years, what does it cost to own a software delivery capability, including everything you would still be paying for after the individual hires have come and gone? Management overhead. Infrastructure. Training and skills currency. Knowledge loss when people leave. The opportunity cost of senior time spent on coordination rather than product.
Those costs are structural rather than per person, which means they scale differently between an in house team and an outsourced one, and that difference is what actually decides the question at the three year mark.
The Australian context sharpens it. Expert360’s 2026 analysis puts the true cost of a permanent professional hire at roughly 1.3 to 1.5 times base salary once all on costs and one off costs are included, with the higher multiple applying in year one. PMI reports organisations with mature project governance complete around 89% of projects on time and on budget against 36% for low maturity, which means governance capability is itself a cost centre you either fund or pay for through failure.
This article builds a three year TCO model for both options, so a decision to outsource IT services or keep capability in house rests on the full picture rather than a rate comparison.
Key Findings
- Employment multiple: Australian professional hires cost roughly 1.3 to 1.5 times base salary once all on costs and one off costs are counted
- Governance premium: PMI reports mature governance organisations complete around 89% of projects on time and on budget, against 36% for low maturity
- Turnover cost: Replacing an employee who leaves early can cost up to 50% of that employee’s annual salary
- Offshore turnover benchmark: Annual attrition at typical offshore delivery centres runs 20 to 30%, though strong managed providers run materially below this
- Superannuation: The employer super guarantee has been 12% since 1 July 2025, with Payday Super obligations commencing 1 July 2026
- Managed rate band: Managed nearshore engineering rates billing in Australian dollars typically run AUD 52 to 76 an hour, all inclusive
- Local supply pressure: Australia’s tech workforce shrank 0.3% in 2025 to around 967,000 workers per ACS Digital Pulse 2026
The Five TCO Components People Leave Out
Direct labour cost is the component everyone models. These five are the ones that separate a TCO analysis from a salary comparison.
Management overhead is the largest omission. An in house team of five engineers needs an engineering manager or a team lead spending significant time on hiring, performance management, one to ones, and career development. That is either a dedicated role costing AUD 200,000 plus fully loaded, or it is a portion of your existing senior engineers’ time, which is the same cost wearing a disguise.
Infrastucture and workspace scales with headcount in house and does not offshore. Desks, office space allocation, hardware refresh cycles, and per seat software licences run roughly AUD 15,000 to 25,000 per engineer per year in an Australian office environment. Under a managed offshore engagement, that sits inside the rate.
Training and skills currency is a genuine ongoing cost that most models skip entirely. Conference attendance, certifications, and paid learning time to keep a team current on frameworks and cloud platforms. Budget AUD 3,000 to 8,000 per engineer per year in house, plus the productive time it consumes.
Knowledge loss on departure is the hardest to quantify and the most consequential. When an engineer with two years of codebase context leaves, you lose accumulated knowledge that no handover reproduces, plus a replacement search, plus a ramp up period. Replacement cost alone can reach 50% of annual salary.
Recruitment infrastructure is the fifth. In house hiring at any volume means either agency fees at 15 to 25% of salary per hire, or an internal talent function, or a meaningful ongoing draw on hiring manager time. All three cost money and only the first appears on an invoice.
How These Components Behave Over Three Years
Here is the part that makes TCO a genuinely different analysis rather than a longer version of the same one.
In house, year one is the most expensive because recruitment and onboarding cluster there. Years two and three are cheaper per engineer as those one off costs fall away and productivity peaks. Then turnover reintroduces year one costs on a rolling basis, so the curve flattens rather than continuing to fall.
Under a managed offshore engagement, the cost curve is close to flat by design. Recruitment sits inside the rate, so there is no year one spike. Infrastructure and training are absorbed by the provider. Turnover costs depend almost entirely on the provider’s churn rate, which is why that single number carries so much weight in a three year model.
Management overhead behaves differently again. In house, it grows roughly linearly with headcount. Under a managed engagement with delivery leadership included, it grows more slowly, because coordination inside the offshore team is handled by the provider and you carry product direction rather than people management.
The crossover implication is worth stating plainly. In house looks worse in year one, better in years two and three per head, then worse again as turnover cycles. Managed offshore looks flatter throughout. Which one wins on TCO depends heavily on your expected retention in house and the provider’s churn rate offshore, not on the rate differential.
The Opportunity Cost Nobody Models
There is a sixth TCO component that resists quantification and frequently exceeds all five above combined.
When senior engineering time goes into recruitment, onboarding, performance management, and coordination, it does not go into product. A senior engineer at a loaded AUD 123 an hour spending a day a week on hiring activity is roughly AUD 47,000 a year of product capacity redirected into process.
That cost lands hardest on small teams. In a five person in house capability, there is no dedicated engineering manager, so management work distributes across the people who are also your most productive builders. The cost appears as a slower roadmap rather than as a line item, which is exactly why it never makes it into a comparison spreadsheet.
Under a managed offshore engagement, recruitment and people management sit with the provider. What remains on your side is product direction, which is work you would be doing regardless.
There is a counterweight worth naming honestly. Coordinating across a timezone gap carries its own overhead, even a small gap. Someone on your side spends time on context transfer, clarification, and sprint facilitation that a fully co located team would not need. That overhead is real, though it is generally smaller than the recruitment and people management load it replaces.
Businesses evaluating an offshore software development company should quantify both sides of that exchange rather than assuming one cancels the other.
Three Year TCO Model: A Five Person Engineering Capability
The table below models a five person capability comprising two senior engineers, two mid level engineers, and one QA automation engineer. In house figures apply SEEK salary benchmarks plus 12% superannuation, payroll tax at roughly 5%, workers compensation, leave provisions, infrastructure, training, and recruitment. Offshore figures assume a managed nearshore engagement at AUD 52 to 76 an hour.
| TCO Component | In House, 3 Year Total (AUD) | Managed Offshore, 3 Year Total (AUD) |
|---|---|---|
| Direct labour, fully loaded | 2,300,000 to 2,600,000 | 1,400,000 to 1,900,000 |
| Recruitment and replacement | 180,000 to 280,000 | Included in rate |
| Infrastructure, workspace, licences | 225,000 to 375,000 | Included in rate |
| Training and skills currency | 45,000 to 120,000 | Included in rate |
| Engineering management overhead | 400,000 to 620,000 | 120,000 to 200,000 residual product direction |
| Knowledge loss from turnover | 150,000 to 350,000 | 30,000 to 90,000 at churn below 2% |
| Three year TCO | 3,300,000 to 4,345,000 | 1,550,000 to 2,190,000 |
| Indicative TCO saving | Baseline | 50 to 55% |
Two rows deserve attention beyond the total.
Management overhead is the second largest line in the in house column and it is almost always omitted from comparisons. Five engineers need managing, and whether that appears as a dedicated engineering manager role or as an erosion of your existing seniors’ output, it is real money.
Knowledge loss varies by an order of magnitude between the two columns, and the driver is entirely retention. At 25% annual offshore attrition, that row would sit close to the in house figure rather than well below it. The saving in the model above is contingent on low churn, not on geography.
What Is the True Total Cost of Ownership for Offshore Development?
Roughly 50 to 55% below an equivalent in house capability over three years, on the model above, with three caveats that materially change the number.
The first caveat is churn. The model assumes a provider running well below category norms. At the 20 to 30% attrition typical of offshore delivery centres, knowledge loss and replacement costs erode a substantial portion of the advantage. This is the single variable worth interrogating hardest during provider selection.
The second is supervision load. If the offshore team is junior heavy or under screened, your Australian senior engineers absorb review and correction work. Ten hours a week at a loaded local cost of around AUD 123 an hour is roughly AUD 60,000 a year, or AUD 180,000 across the model period, which is enough to move the total meaningfully.
The third is your own governance maturity. The PMI gap between 89% and 36% on time delivery is not an offshore statistic, it is an organisational one. A poorly governed offshore capability underperforms a well governed in house one regardless of the cost columns, because delivery failure costs more than either option’s labour bill.
So the honest answer is that offshore TCO advantage is large but conditional, and businesses looking to hire software developer capacity should model those three variables explicitly rather than accepting a headline percentage.
Where In House Wins on TCO
Being fair about this, because there are situations where the model above inverts.
Very long horizons with excellent retention favour in house. If you can genuinely hold senior engineers for five years or more, the year one cost spike amortises and the knowledge accumulation compounds in a way that is hard to replicate through any external arrangement.
Deep proprietary domain knowledge favours in house. If your competitive advantage rests on institutional understanding that takes years to build and would be commercially damaging to have resident outside your business, the TCO calculation is not the deciding factor.
Regulatory constraints can eliminate the choice entirely. Some government, defence, and regulated financial work carries data sovereignty requirements that prohibit offshore access regardless of cost.
Very small capabilities favour in house too. One or two engineers rarely justify establishing an offshore arrangement, because the coordination and onboarding cost has too little labour cost to amortise against.
And work requiring constant physical presence favours in house. Discovery workshops with non technical stakeholders, on site integration, and hardware dependent work all translate poorly regardless of TCO.
The Hybrid TCO Case
In practice, the strongest TCO outcome for most Australian SMBs is neither pure option. It is a deliberate split.
Keep in house what carries institutional value or requires physical presence. Product ownership, architecture authority, stakeholder facing work, and anything with hard sovereignty constraints. That is typically one to three senior people rather than a full team.
Put delivery capacity offshore. The engineers writing the bulk of the code, QA, and infrastructure maintenance. This is where the labour cost differential is largest and where the infrastructure and recruitment savings actually compound.
The TCO logic behind that split is straightforward. Your highest cost in house line items, management overhead and recruitment, scale with headcount. Keeping headcount low in house and capacity high offshore minimises both while preserving the institutional knowledge that matters.
Businesses running a broader IT outsourcing programme across several functions should run the same split analysis function by function, because the answer differs between engineering, support, and finance operations.
How Specialist Roles Change the Model
The five person model above assumes general software engineering. Specialist capability behaves differently across every row.
Direct labour narrows first. A specialist AI developer or machine learning engineer offshore saves around 35 to 42% against local fully loaded cost, rather than the 45 to 60% available on general engineering, because global demand for those skills has compressed the geographic arbitrage that makes offshore attractive elsewhere.
Infrastructure costs rise sharply and independently of location. Training compute, inference at scale, vector storage, experiment tracking, and monitoring commonly run AUD 3,000 to 15,000 a month depending on volume, and that line scales with usage rather than headcount. It appears in both columns identically, which means it dilutes the percentage saving even though the dollar saving on labour is unchanged.
Knowledge loss risk rises. A specialist leaving mid build sets you back further than a general engineer leaving, because the replacement pool is smaller and the context is less transferable. That pushes even more weight onto the churn variable.
Training and skills currency costs more. Keeping a machine learning capability current requires more ongoing investment than keeping a general engineering team current, in both columns.
The practical implication is that TCO advantage on specialist capability is real but noticeably narrower, and a business modelling a custom software development build with significant AI components should model the two portions separately rather than applying a single percentage across the whole programme.
How to Build Your Own TCO Model
Five steps that produce a number you can defend in a board paper.
Define the capability, not the headcount. What does this team need to deliver over three years? Headcount follows from that, and modelling headcount first produces the wrong shape.
Cost the in house option at 1.3 to 1.5 times base salary, then add infrastructure at AUD 15,000 to 25,000 per seat annually, training at AUD 3,000 to 8,000 per engineer, and management overhead as either a dedicated role or a quantified portion of existing senior time.
Cost the offshore option using the provider’s all inclusive rate against realistic billable hours, typically around 1,820 a year rather than 2,080. Confirm in writing what sits inside the rate.
Model turnover explicitly on both sides. Use your actual historical retention in house, not an optimistic assumption. Use the provider’s stated churn on client engagements offshore, and if they will not give you a figure, assume the 20 to 30% category norm.
Add a governance line to both columns. Whatever you spend on product ownership, delivery management, and reporting is a real cost of owning the capability, and pretending otherwise is how TCO models mislead.
How Upscalix Prices Against a TCO Model
We are an Australian registered offshore outsourcing company headquartered at Level 11, 580 Collins Street, Melbourne, with engineering delivery teams in Indonesia.
Our managed nearshore rates sit at AUD 52 to 76 an hour, genuinely all inclusive. Recruitment, employment, HR administration, tooling, equipment, workspace, and delivery management all sit inside that figure, which is why the offshore column in the model above shows those rows as included rather than as separate costs.
Our churn rate stays below 2% against the 20 to 30% category norm. In a three year TCO model, that single number is worth more than the rate differential, because it determines the knowledge loss row that most comparisons omit entirely.
Our teams are mid to senior rather than junior heavy, which keeps the supervision load on your side low. That matters directly in a TCO context, because supervision load is a cost that lands on your most expensive local people.
We bill in Australian dollars through an Australian entity, so there is no currency variance to model across a three year horizon.
If you are building a TCO case for a board or an investment committee, send us the capability you are modelling. We will provide the offshore column with our actual assumptions stated, so your model is defensible rather than promotional.
What This Means for Australian Businesses
TCO reframes the offshore question from a rate comparison into a capability ownership decision, and the reframing changes which variables matter.
Rate differential is real, but it is not the largest factor. Management overhead, recruitment infrastructure, and knowledge loss from turnover together frequently exceed the labour saving, and all three scale differently between the two options. That is the actual insight a TCO model produces.
The two variables to interrogate hardest are your own historical retention in house and the provider’s churn rate offshore. Get both wrong and the model tells you nothing useful. Get both right and the answer is usually obvious.
Australia’s tech workforce contracted last year for the first time on record, which means the in house column in this model is getting harder to fill regardless of what it costs. That constraint is worth building into any three year plan.
Fair enough?
FAQ
What is the total cost of ownership for offshore versus in house development?
Over three years, a managed offshore capability typically runs 50 to 55% below an equivalent Australian in house team, though that advantage depends heavily on provider churn and supervision load.
Which TCO components do most cost comparisons leave out?
Engineering management overhead, infrastructure and workspace, training and skills currency, knowledge loss from turnover, and recruitment infrastructure are the five most commonly omitted.
When does in house development win on total cost of ownership?
When retention is genuinely excellent over five years or more, when deep proprietary domain knowledge is the competitive advantage, when regulatory constraints prohibit offshore access, or for very small teams.
How much does turnover affect a three year TCO model?
Substantially. Knowledge loss and replacement costs can vary by an order of magnitude between a provider running churn below 2% and one running the 20 to 30% category norm.
Sources
- https://expert360.com/articles/true-cost-of-hiring-employee-australia
- https://www.pmi.org/learning/library/scope-creep-rising-11308
- https://ia.acs.org.au/article/2026/australia-s-tech-workforce-shrinks-for-first-time.html
- https://www.seek.com.au/career-advice/role/software-engineer/salary
- https://www.ato.gov.au/businesses-and-organisations/super-for-employers/paying-super-contributions/how-much-super-to-pay
- https://www.usemultiplier.com/australia/cost-of-employment
- https://agilehro.com/blog/cost-to-hire-employees-australia-2026/