Hiring

Network engineering has shifted from device configuration to cloud connectivity and automation, and hiring should follow. This guide covers what to test, how to spot CLI-only candidates, why observability matters, and what good looks like.

The role is valuable when it removes impediments and harmful when it becomes ceremony administration. This guide covers what to test, how to spot certificate-driven candidates, and what measurable improvement looks like after a quarter.

Security architecture is judged on whether secure paths are the easy ones. This guide covers what to test, why threat modelling beats control checklists, how to spot compliance-only candidates, and what measurable security looks like.

Support engineering is where product quality meets customers, and hiring badly is visible immediately. This guide covers what to test, why reproduction skill beats product knowledge, how escalation should work, and what good looks like.

A buyer's checklist for choosing a forward deployed engineer provider—evidence of owned outcomes, discovery-first process, and honest handoff commitments.

APIs are contracts that outlive the teams that write them. This guide covers what separates strong API engineers, why versioning and error design matter more than framework choice, how to test for it, and what good looks like after 90 days.

BI work fails when metrics mean different things in different reports. This guide covers what to test, why semantic modelling beats dashboard craft, how to spot chart-first thinking, and what good reporting looks like after 90 days.

Data governance fails when it becomes a documentation exercise nobody reads. This guide covers what to test, why ownership beats policy, how to spot committee-driven candidates, and what measurable governance looks like after 90 days.

Enterprise architecture earns its keep by making portfolio-level decisions that stick, and fails when it becomes a governance checkpoint. This guide covers what to test, how to spot process-first candidates, and what measurable value looks like.

ETL work is judged on whether the numbers are right and stay right. This guide covers what to test, why idempotent reruns and late-arriving data separate candidates, how tooling choice shapes the role, and what good looks like.

Integration work is where enterprise systems actually fail, and the skills are distinct from application engineering. This guide covers what to test, why failure handling is the core competence, and how to scope an integration estate.

Solution architects are judged on decisions that survive contact with delivery. This guide covers what to test, how to spot diagram-first candidates, why trade-off reasoning matters more than pattern recall, and what good looks like.

Should you engage a forward deployed engineer on contract or hire full-time? A decision framework based on mission duration, permanence, and internal capability.

Angular suits large applications and large teams, and its conventions are the reason. This guide covers what to test, why reactive programming discipline matters, how the upgrade cadence works, and when the framework is more structure than you need.

Elixir is chosen for systems that must stay up under concurrent load, and hiring for it means testing OTP understanding rather than syntax. This guide covers what to look for, the small pool reality, and where the platform earns its cost.

GraphQL solves real problems and creates new ones around performance, authorisation and caching. This guide covers what to test, why schema design is the defining skill, how to spot query cost blindness, and when REST remains the better answer.

Scala teams differ more from each other than teams in most languages, because the community spans several styles. This guide covers how to state which style you use, what to test, build realities, and where the language earns its cost.

Svelte produces small, fast front ends and attracts engineers who care about that. This guide covers what to test, why the smaller ecosystem changes planning, how the pool compares, and when a more mainstream framework is the safer choice.

Vue rewards teams that want a productive front end without heavy ceremony, and hiring for it means testing state and rendering discipline. This guide covers what to look for, version realities, and when a different framework fits better.

The three ways to engage a forward deployed engineer—embedded owner, delivery pod, and fractional advisory—with a simple guide to matching model to mission.

C++ is chosen where performance or hardware proximity leaves no alternative, and the cost of a weak hire is higher than in managed languages. This guide covers what to test, why memory discipline matters, and how standard version affects hiring.

The .NET ecosystem spans modern cross-platform work and long-lived Framework applications, and those need different hires. This guide covers the split, what to test, how async and EF Core discipline separate candidates, and migration realities.

Go is chosen for services that must be simple to operate, and its hiring signals differ from other backend languages. This guide covers concurrency testing, why explicit error handling matters, the small-standard-library culture, and where Go fits.

Java runs a large share of enterprise backends and the hiring pool is wide, which makes screening the real work. This guide covers what to test, why version and JVM realities matter, how framework choice shapes the role, and what good looks like.