Real hiring challenges. Real outcomes.

The client needed engineers with performance-critical systems experience in a narrow market where generic sourcing produced too many weak matches.

STRATOS built a targeted market map across trading technology teams, engaged passive engineers directly, and added senior technical screening before client submission.

The shortlist focused on candidates with relevant low-latency engineering depth, reducing noise in the process and giving the hiring team clearer decision points.

An AI infrastructure company needed senior engineering talent capable of operating across distributed systems, platform reliability, and fast-moving product priorities.

We combined research-led sourcing with structured qualification around infrastructure scale, engineering maturity, and motivation to move into a high-growth environment.

The client received a focused pipeline of senior candidates aligned to both technical requirements and the pace of the organization.

A specialist trading platform needed access to candidates who were not visible through inbound applications or standard recruitment channels.

The search focused on direct engagement with candidates outside active job-market channels, supported by clear role positioning and careful expectation management.

The process opened conversations with passive talent and gave the client access to profiles they were not reaching through traditional methods.

The hiring team needed more confidence in candidate quality before investing senior engineering time in final interviews.

STRATOS introduced structured assessment, technical interview support, and candidate quality control before each profile reached the client.

Candidate submissions became more selective, better evidenced, and easier for the client to compare across technical and cultural fit.