The Security Risks Created by Weak Engineering Teams

TL;DR

• Weak technical hires can increase security risk through poor judgment, shallow reviews, unclear ownership, and weak testing.
• In Web3, engineering mistakes can reach production systems that manage real assets and interact with other protocols.
• Security depends heavily on the people designing, reviewing, maintaining, and operating the system every day.
• Technical verification during hiring helps companies reduce risk before a new engineer reaches the codebase.

A security problem can begin with a hiring decision months before anyone finds the vulnerability.

A company hires an engineer whose experience looks strong on paper, but the technical evaluation never goes deep enough. The engineer joins, starts shipping code, reviews other people’s work, makes architecture decisions, and slowly gains access to more important parts of the system.

If that engineer lacks the depth the role requires, the consequences spread far beyond their own tasks.

Weak assumptions enter the architecture. Reviews become less useful. Important edge cases receive little attention. Other developers start building on top of decisions that should have been questioned earlier. Senior engineers spend more time correcting work, while the company becomes increasingly dependent on the few people who understand the system properly.

For a normal software company, these weaknesses can create technical debt and reliability problems. For a Web3 company, they can also create security exposure.

That makes engineering recruitment part of the security model.

The Risk Starts Before the Engineer Is Hired

Web3 companies often recruit under pressure.

A protocol is preparing for launch. A new chain integration needs engineers. Funding creates aggressive product targets. A technical leader has too many responsibilities. The company needs another Solidity developer, backend engineer, infrastructure specialist, or security-minded technical lead quickly.

Speed can weaken verification.

A polished CV may contain the right technologies. The candidate may speak confidently about protocols they worked on. Their previous titles may suggest the right level of seniority.

A hiring process still needs to establish what the person actually knows.

What parts of those systems did they own? Which architecture decisions did they make? What did they review? Which incidents did they handle? How did they test critical behavior? What security problems did they encounter? How much guidance did they need from other engineers?

Those questions matter because a senior technical hire receives trust very quickly.

Once someone joins the team, their decisions begin affecting other people’s work. They may approve pull requests, change production systems, influence architecture, interview future engineers, or own components that control sensitive operations.

Technical verification protects the company before that access exists.

Weak Engineers Multiply Weak Decisions

A weak technical hire rarely creates one isolated problem.

Engineering work is connected.

A poor abstraction becomes something other developers build around. A weak permission model can shape several contracts. An incomplete test strategy can become the standard for future features. A shallow reviewer can approve mistakes written by other engineers.

This creates a compounding effect.

The team gradually normalizes the quality of decisions around it.

Web3 makes this especially dangerous because protocol components often interact with external systems. Smart contracts may depend on oracles, bridges, routers, wallets, governance systems, backend infrastructure, and other protocols.

A mistake in one area can therefore travel much further than the original code.

The CertiK H1 2026 security report recorded more than $1.31 billion in losses across 344 Web3 security incidents during the first half of 2026. CertiK also reported that code vulnerabilities accounted for the largest number of incidents, while wallet compromise caused the greatest financial losses.

These incidents have different causes, and hiring cannot explain them all. The numbers still show the environment engineering teams operate inside. Attackers continue searching for technical and operational weaknesses, and the consequences of those weaknesses can be severe.

Companies need engineers capable of working at that level of risk.

Code Review Is Only as Strong as the Reviewer

Most engineering teams have code review rules.

The existence of a review process says very little about its quality.

A reviewer needs enough technical depth to understand what could go wrong. In smart contract systems, that may require thinking through access control, state transitions, external calls, economic assumptions, upgrade behavior, and unusual execution paths.

OWASP’s Smart Contract Security Verification Standard recommends that higher-security smart contract code changes receive review from at least two independent developers with smart contract security expertise. It also calls for reviews that examine areas such as improper access control and reentrancy.

That standard highlights an important hiring issue.

You need qualified people behind the review process.

A checklist cannot recognize a flawed economic assumption. A pull request template cannot decide whether an upgrade mechanism gives too much authority to one role. Automated tooling can identify known patterns, while experienced engineers still need to understand the system around those findings.

The quality of the reviewer becomes part of the security control.

When a company hires engineers who can perform deep reviews, every developer around them benefits. Weak designs get challenged earlier, junior engineers receive better feedback, and security knowledge spreads through normal engineering work.

Seniority Needs Proof

Web3 recruitment has a title problem.

“Senior Solidity Engineer,” “Protocol Engineer,” and “Technical Lead” can describe very different levels of responsibility across different companies.

One senior engineer may have designed production contracts, handled incidents, reviewed critical code, and owned upgrades. Another may have worked on narrow features while a stronger technical lead made most important decisions.

The title alone cannot tell a hiring team which person they are interviewing.

This is why technical recruitment needs evidence.

A strong interview should explore real work in detail. Ask the candidate to explain a difficult system they owned, then keep going deeper. Ask why they chose the architecture, what could fail, which trade-offs they considered, how they tested it, and what they would change now.

Code review is also useful because it exposes judgment.

Give the candidate realistic code and ask them to review it. Watch what they notice, which risks they prioritize, how they explain uncertainty, and whether they understand the wider system.

The objective is to understand how the engineer thinks when the answer is not obvious.

That is the skill companies depend on after hiring.

Weak Teams Create Knowledge Bottlenecks

Security becomes fragile when too few people understand critical systems.

A protocol may have fifteen engineers while one technical founder and one senior developer hold most of the architecture knowledge. Sensitive reviews reach them, production incidents reach them, audit questions reach them, and difficult integrations eventually reach them.

That structure creates risk.

If those people become overloaded, reviews slow down and decisions receive less attention. If one leaves, years of context may disappear with them. If an incident happens outside their working hours, the rest of the team may struggle to respond confidently.

Hiring should gradually spread technical ownership.

A strong senior engineer should become another person who can understand critical systems, make sound decisions, and review difficult work. As more capable people gain context, the company becomes less dependent on individual availability.

This also improves security because more qualified people can challenge assumptions before they become permanent.

Operational Risk Also Depends on Who You Hire

Modern Web3 security extends beyond smart contract code.

Deployment infrastructure, wallets, private keys, access systems, cloud environments, RPC providers, internal permissions, and production procedures all create potential attack paths.

Chainalysis estimated that more than $3.4 billion in cryptocurrency was stolen during 2025. Its analysis highlighted major attacks against services as well as a sharp rise in personal wallet compromises.

CertiK’s H1 2026 research found wallet compromise produced more than $444 million in losses across 33 incidents during the first half of 2026.

These trends widen the skills companies need inside technical teams.

An infrastructure engineer working near production systems needs strong security judgment. A technical lead needs to understand how permissions move across the stack. Engineers handling deployment systems need discipline around access and operational procedures.

Recruitment therefore needs to examine how candidates think about responsibility, access, failure, and security across the systems they have owned.

Technical skill without operational judgment can still create serious exposure.

Hiring Under Pressure Creates Its Own Risk

Urgency is one of the most dangerous conditions in technical recruitment.

When a team is understaffed, every week without a hire feels expensive. The company starts lowering the amount of evidence it needs because getting someone into the role becomes the immediate priority.

That decision can create a much longer problem.

A weak engineer may need heavy support from senior people. Their code may require deeper reviews. Their architecture decisions may need correction. If the fit fails completely, the company returns to hiring after spending months onboarding and managing the wrong person.

Security-sensitive roles make this even more serious.

The engineer may gain access to repositories, infrastructure, internal documentation, production environments, and sensitive technical knowledge during that period.

Veretin’s approach is built around reducing this risk before the introduction.

We would rather investigate a smaller number of candidates deeply than create a large pipeline with weak evidence behind each profile.

Technical hiring benefits from selectivity.

Responsiveness and Preparation Matter Too

Technical evaluation should also examine how candidates behave throughout the process.

Remote Web3 teams depend heavily on communication because engineers often work across time zones and make important decisions asynchronously.

A candidate who repeatedly misses agreed calls, responds poorly, arrives unprepared, or has not read the role properly is giving the hiring team useful information.

These behaviors can continue after employment.

In an engineering environment, poor communication can delay reviews, create unclear handoffs, slow incident response, and make distributed work harder.

Veretin pays close attention to these signals.

We expect candidates to understand the position before interviews. We expect clear communication around timezone constraints. We evaluate punctuality and responsiveness throughout the process, and we are clear about acceptable AI use during technical evaluation.

The hiring process should reveal how someone is likely to operate inside the team.

Technical Verification Should Be Difficult to Fake

AI has made polished applications easier to create.

Candidates can improve CVs, prepare interview answers, generate portfolio descriptions, and practice common technical questions faster than before.

Hiring processes need stronger evidence as a result.

Live technical conversations become more valuable. Live coding can show how a candidate approaches a problem in real time. Code review can reveal judgment. GitHub research can provide context around public work. Detailed questions about previous projects can expose whether someone genuinely understands the systems they describe.

No single method gives a complete picture.

The value comes from combining evidence.

At Veretin, candidates can be reviewed through live video interviews, technical discussions, live coding, code review, GitHub checks, and internal review by more than one recruiter where the role requires it.

We want the client’s first interview to begin with more information than a CV can provide.

A Strong Engineering Team Is a Security Control

Companies often separate recruitment, engineering, and security into different functions.

The decisions still connect.

Recruitment determines who enters the engineering team.

The engineering team determines who writes code, reviews changes, owns infrastructure, handles incidents, and makes architecture decisions.

Those decisions shape the security of the product.

This makes hiring quality one of the earliest security controls available to a Web3 company.

A strong technical hire adds another person who can catch a dangerous assumption, review a sensitive change, understand an audit finding, respond during an incident, and raise the standard around the team.

That value compounds over time.

Security begins long before deployment, and the hiring process is one of the first places a company can influence it.

Who We Are

Veretin Recruitment is a specialist Web3 recruitment company focused on technical hiring for companies that need depth, reliability, and strong verification.

Our approach is few, not many.

We manually research candidates, speak with them directly, investigate relevant technical experience, and verify fit before introducing them to clients. Depending on the role, our process can include live video interviews, live coding, code review, GitHub checks, and internal review by multiple recruiters.

We also track communication, preparation, punctuality, responsiveness, timezone fit, and understanding of the position because technical performance happens inside a team.

For security-sensitive Web3 roles, every hiring decision changes the technical environment around the product.

Veretin helps companies make those decisions with more evidence and less noise.

References

• CertiK, Hack3D H1 2026 Report. CertiK recorded more than $1.31 billion in losses across 344 Web3 security incidents during the first half of 2026.
• CertiK Security Dashboard, H1 2026. CertiK’s incident breakdown identifies code vulnerabilities as the largest category by incident count and wallet compromise as the largest category by losses.
• Chainalysis, 2026 Crypto Crime Report: Stolen Funds. Chainalysis estimated that more than $3.4 billion in cryptocurrency was stolen during 2025 and documented changing attack patterns across services and personal wallets.
• OWASP Smart Contract Security Verification Standard. OWASP provides security guidance for the design, development, testing, and review of smart contract systems.
• OWASP SCSVS Code Review Processes. OWASP recommends independent security-focused code review for higher-security smart contract development, including review by developers with relevant security expertise.