Tech recruitment
Hiring decisions built on relevance, judgment, and long-term fit.
The challenge in technical hiring is no longer access alone. It is the ability to identify people who can perform within the realities of a specific team, a specific stage of growth, and a specific operating environment. Technical competence may open the conversation, but it is rarely enough to secure long-term value. George Bernard's Tech Recruitment practice is built around the quality of the hiring decision. We support organisations in appointing technology talent through a process that prioritises context, evaluation discipline, and team fit over volume and speed for their own sake. We approach recruitment as a capability decision, not a transactional search. That means understanding the role in relation to the team, the team in relation to the business, and the business in relation to what it is trying to deliver.
Where it creates value
Building core engineering, product, or data teams
Strengthening platform or product functions with specialist hires
Improving the quality of technical hiring decisions
Reducing repeated hiring cycles and the cost of poor fit
Hiring into markets across Bangalore, Colombo, and adjacent regions
Situations where culture and ownership matter as much as skill
How we approach it
We begin by defining what success in the role will actually require — technically, operationally, and interpersonally. Search and assessment are then calibrated to those realities, rather than to a job description alone. This produces a more selective process and a stronger shortlist: fewer profiles, more relevant conversations, and a stronger basis for decision-making.
What distinguishes this model
Many recruitment processes generate motion without improving judgment. Our model is intentionally narrower. It is designed to reduce noise, sharpen evaluation, and improve the likelihood that the final appointment will strengthen both delivery and team cohesion.
Laser focused approach targeting the right candidates with Data-led process
Our method combines strategy, experimentation, and continuous refinement. Every stage is focused on performance transparency and measurable results.
01
Define
Role Context Defined. Not just the job description, but, the team dynamics, delivery environment, and performance expectations.
02
Search
Targeted Search. Capability-led identification. We map the market against the real requirement.
03
Evaluate
Structured Evaluation. Technical and behavioural assessment. We filter for fit, not just competence
04
Shortlist
Selective Shortlist. Fewer candidates. Better decisions. Clear rationale for each profile presented
