A senior backend engineer, eight years out of school and currently at a Series B company, gets a LinkedIn message about an engineering role. She opens the company's GitHub before she opens the job description. She checks the last commit date on the main service repository, scans the issues backlog for tone, and pulls up a few contributor profiles. Ten minutes later, she's either reading the JD or she's closed the tab.
This is how experienced engineers evaluate opportunities. The recruiter never sees it happening.
The Research Happens Before You Know They're Looking
Engineers who have options do their due diligence asynchronously, on their own terms, before any human interaction. A 2023 Stack Overflow survey found that when developers are actively job searching, 61% prioritize company jobs pages and 52% rely on third-party review sites as primary research channels. That research runs before any recruiter outreach lands.
By the time a strong candidate replies to your InMail or submits an application, they've already formed a provisional opinion about your company. The recruiter who sent the message didn't make that case. The company's public footprint did.
The Four-Part Evaluation Stack
Strong candidates run through a sequence that most hiring teams don't think about as a sequence.
GitHub Activity
If the company has a public GitHub org, engineers will check it. They're not auditing the code. They're reading signals: when the last commit to the main product repositories was made, whether internal engineers contribute openly, whether the team maintains libraries or just forks other people's work. A dormant GitHub org at a company claiming to value engineering craft is a contradiction that registers immediately.
The Engineering Blog
A company that publishes serious technical writing signals something: engineers here have thought hard about real problems and been given time to explain their thinking. The opposite is also true. A blog full of three-paragraph posts about "exciting milestones" tells an experienced candidate exactly what they'd be walking into. The quality of the writing matters more than the frequency: one post that honestly describes a scaling problem the team solved, including what they got wrong, is worth more than twelve posts about platform partnerships.
Glassdoor
Engineers reading Glassdoor are not looking for a perfect rating. They're looking for patterns. Multiple reviews from engineers mentioning the same issues (slow promotions, technical debt ignored by leadership, interview processes with no feedback) carry more weight than a high aggregate score. They're also checking whether leadership responds to negative reviews, and what those responses actually say.
The Job Description
The JD is often the last piece of the research stack, not the first. By the time a strong candidate opens it, they've already formed a partial opinion of the company. The description either confirms or undercuts that impression. Most descriptions undercut it.
How Most Job Descriptions Fail the Test
The patterns are consistent. A laundry list of 18 required technologies with no explanation of what the stack is actually used for. "5+ years of experience with [a framework that has existed for two and a half years]." A responsibilities section that describes the same three activities five different ways. A vague line about "working on challenging problems at scale" with no specifics about what the problems are or what scale means here.
Engineers who have read hundreds of job descriptions read these patterns as proxies for how a company thinks about the role. Vague requirements signal that no one has thought carefully about what the job actually is. An overlong requirements list that reads as copy-pasted signals that the hiring manager wasn't meaningfully involved in writing it.
The job description is a signal. Most companies don't treat it as one.
What a Good Engineering JD Actually Contains
Strong engineering JDs answer a short set of questions that candidates are actually asking:
- What problem does this team solve? Not the company mission statement. The specific problem this team owns, and why it's worth working on.
- What does the stack look like? A description of what engineers actually work with, including the parts that aren't glamorous.
- What does a good day in this role look like? Concrete. Not "you'll collaborate cross-functionally." What does collaboration mean, with whom, and on what?
- What does success look like in the first six months? This question tells a candidate more about how a team operates than anything else in the JD.
Salary range matters too. Experienced engineers filter on compensation early, and a missing range reads as either a negotiating tactic or a sign of disorganization. Neither interpretation helps the application rate.
The Screening Process Is Part of the Signal
A well-written job description backed by a credible engineering presence creates an expectation. When a senior engineer decides your company is worth the application, the next interaction they have with your team tests whether your employer presence was real.
Slow response times, a disorganized first screen, or a recruiter who can't answer basic questions about the team undercuts everything the candidate researched. The signal was good. The process didn't deliver.
Structured, fast screening closes that gap. When Sia, Eximius's screening agent, handles first outreach, the response is consistent, prompt, and organized against the criteria that matter for the role. A candidate who took ten minutes to research your company's GitHub and liked what they found should not wait ten days to get a structured response. The care that went into the JD should extend to the first touchpoint.
The Candidates You Most Want Are the Least Forgiving
Senior engineers with options make faster decisions to disengage than early-career candidates do. They're not in a hurry. A weak employer signal or a disorganized first interaction costs you the candidate, and you will not receive a rejection note. The tab will just close.
Improving that signal starts before the req opens: maintaining a meaningful engineering blog, keeping the GitHub org active, engaging honestly with Glassdoor feedback, and writing job descriptions that treat the reader as someone capable of evaluating what they've read.
Recruiters don't own most of these inputs. The parts of the process they do control, starting with the job description and the quality of the first screen, are the ones that determine whether the candidate who did all that research decides your company is worth their time.
Want to see what structured screening looks like on your engineering reqs? Book a pilot and we'll run your next role through the Eximius workflow.