TL;DR
Market data and trading infrastructure recruitment covers the engineers who build and operate everything that keeps a trading system fed and running: feed handlers, exchange connectivity, networks, time synchronisation, Linux performance, monitoring and reliability engineering.
These are the highest-volume specialist engineering mandates in most trading firms, and the hardest to fill from generic technology talent pools, because the work combines protocol depth with operational discipline during market hours.
Key points
- Demand is steady because every venue, product and region adds connectivity work.
- Candidates must be judged on packet-level debugging, not certifications.
- Exchanges, brokers, telecom and data centre engineering are the strongest feeder pools.
- Operational behaviour during incidents matters as much as design skill.
Roles we search
| Role | Responsibility | Guide |
|---|---|---|
| Market data engineer | Feed handlers, normalisation, gap recovery | Feed handlers |
| Exchange connectivity engineer | Order entry protocols, sessions, certification | Exchange connectivity |
| Trading network engineer | Low-latency networks, timing, packet capture | Network engineer guide |
| Linux and systems engineer | Kernel tuning, CPU isolation, performance | Trading infrastructure |
| Site reliability engineer for trading | Monitoring, incident response, capacity | Market-hours operations |
| Data centre and co-location engineer | Racks, cross-connects, hardware lifecycle | Physical infrastructure |
| Head of infrastructure | Architecture, vendor strategy, team building | Leadership search |
What separates strong candidates
Packet-level fluency. They diagnose from captures, not dashboards.
Capacity thinking. They size for bursts during volatile sessions, not average load.
Recovery design. They plan for gaps, disconnects and restarts as normal events.
Timing discipline. They understand why clock accuracy underpins every latency claim.
Market-hours temperament. They stay methodical when a session is live and money is at stake.
Where candidates come from
| Source | Strength |
|---|---|
| Trading firms | Direct experience, small and contested pool |
| Exchanges and market data vendors | Protocol and venue depth |
| Brokers | Connectivity, controls and client-facing systems |
| Telecom and carrier networks | High-speed networking depth |
| Data centre and cloud providers | Scale, automation and reliability practice |
| Systems and kernel engineering | Performance and Linux internals |
India has a deep pool across several of these sources, particularly in Bengaluru, Mumbai and NCR. See trading technology recruitment in India.
Why firms underinvest here, and what it costs
Infrastructure hiring is often deprioritised in favour of research and strategy roles. The result is familiar: latency gains paid for in hardware are lost in software and networks, incidents take longer to resolve, and engineers leave because they spend their time firefighting rather than building. Firms that hire ahead of the curve keep both their latency edge and their engineers.
Frequently asked questions
What does a market data engineer do?
They build and maintain the systems that receive, decode and distribute exchange market data, including gap detection, recovery and normalisation across venues.
Are trading infrastructure roles hard to fill?
Yes. The combination of protocol depth, performance engineering and market-hours operational discipline is uncommon outside trading firms and exchanges.
Can network engineers from telecom move into trading?
Frequently yes. High-speed networking and packet-level debugging skills transfer well, with venue protocols and market context learned on the job.
What should we test in interviews for these roles?
Packet-level diagnosis, gap recovery design, capacity planning for bursts, time synchronisation understanding and incident handling under pressure.