Red Flags in Software Engineer LinkedIn Profiles

⚠️ Heads up to anyone hiring on LinkedIn right now — especially for technical roles. I posted an engineering job last week and got flooded with applicants almost immediately to my email. Decent resumes on paper. Reasonable skillsets. All clustered in Virginia. Here's where it gets weird. Every single one of them only had a GitHub profile. No LinkedIn. When I asked about it, each one told me they were "having IT issues" with their LinkedIn and it would "be back up shortly." Word for word. Multiple candidates. That's not a coincidence. That's a script. This is a known pattern — fake applicants designed to get your attention, build rapport, and eventually either harvest your company's data, phish your hiring process, or worse. LinkedIn removed over 80 million fake accounts in just the second half of 2024 alone Rest of World, and job scams rose 19% in the first half of 2025 Remote Work Europe. The problem is getting worse fast. Red flags I saw — and you should watch for: 🚩 Clustered geography with no logical explanation (why is everyone from the same state?) 🚩 No LinkedIn profile — or conveniently "down" LinkedIn profile 🚩 GitHub-only digital footprint 🚩 Cookie-cutter excuse delivered identically across multiple candidates 🚩 No-name companies on resume with nothing verifiable High-demand roles like software engineering, cybersecurity, and DevOps are prime targets DEV Community for this stuff. If you're hiring in tech right now, slow down and verify before you engage. Legitimate candidates have verifiable digital footprints. If someone can build software but can't maintain a LinkedIn profile, that's your answer. Stay sharp out there. The scammers are getting better at this. #hiring #recruiting #jobscam #techhiring

We've seen a lot of fake candidates for remote engineering roles, either completely fabricated identities or fabricated experience/education. Luckily, we've been able to reliably detect most of them with AI before they waste a recruiter's time on the phone. Fonzi AI looks for a number of different anomalies and combines the signals to come up with an overall determination for fraud that a human verifies. Here are some of the signals that we currently look at: ‣ Missing LinkedIn photo – For fake identities, they often are missing a photo on LinkedIn, although we've also seen a lot of AI-generated images more recently. ‣ Few LinkedIn connections – Fake identities are often recently created LinkedIn accounts with few connections. ‣ Mismatch between resume and LinkedIn profile – There are sometimes very different timelines between a resume and LinkedIn profile. ‣ Incorrect technologies for company – Fraudulent resumes will get technical details wrong like using PHP at Google or using Angular at Facebook. ‣ Using redundant technologies – Fraudulent resumes will often keyword stuff with unlikely tech stacks, like using React, Angular, and Vue all at the same startup. ‣ Working at companies before founding – This is a red flag where someone claims to have worked at a company before it existed. ‣ Using technologies before invention – Similarly, another red flag is where someone claims to have been using a technology before it was released. ‣ Suspicious email address – This is a weaker, but non-zero signal. Email addresses with strings of four random numbers or the word "dev" added to the name seem to be popular patterns for frauds. ‣ Suspicious location – Similarly, it seems like they tend to autogenerate locations in the US, so a small town nowhere near their college or previous work experiences is suspicious. No single data point will flag a resume as potentially fraudulent, but most fraudulent resumes will contain multiple anomalies. In general, we're pretty sensitive to false positives and have done a lot of manual verification and tuning of the signals. It's also a constant game of cat and mouse. As we see fraudulent resumes evade our detection, we update the signals to make sure we're detecting new patterns.

Let’s be real. You’ve applied to 50+ jobs, tweaked your CV, maybe even added a shiny new certification to your LinkedIn profile, BUT the interview calls still aren’t coming. As a Technical Recruiter who goes through hundreds of applications weekly, let me give you some honest insight into why you might be getting overlooked and how to fix it. 🚩 Common Red Flags That Might Be Holding You Back 1. Your CV Is Either Too Generic or Too Messy Red flag: A one-size-fits-all CV or a cluttered document with no clear structure. What I see: Fancy templates filled with buzzwords, but no substance. Or worse, spelling errors in the first line. Fix it: Tailor your CV for each role. Use bullet points. Highlight achievements with quantifiable outcomes (e.g., “Reduced API response time by 35%”). ✅ Pro Tip: Use tools like Jobscan to match your CV to the job description. 2. Your LinkedIn Profile Isn’t Working for You Red flag: No profile photo, vague job titles (“Engineer” instead of “Full Stack Engineer – MERN”), or an inactive account. What I see: Talented people missing out because they look invisible online. Fix it: Use a professional headshot Add a compelling headline (e.g., “React Developer | 3+ YOE | Passionate about building scalable frontends”). Write a strong “About” section. ✅ Pro Tip: Turn on “Open to Work” with clear preferences . This helps recruiters filter and find you faster. 3. You’re Applying Blindly Red flag: Applying for every open role without reading the JD or customizing your approach. What I see: Applicants who don’t know the company’s tech stack or apply for roles outside their skillset. Fix it: Apply where you’re a 70–80% match. Focus on quality over quantity. ✅ Pro Tip: When applying via email or job portals, always add a short, customized note, it shows effort and interest. 4. Unprofessional Email Addresses or Social Profiles Red flag: Emails like coder_killerx99@gmail.com or public GitHub profiles with no repos but lots of memes. What I see: Immediate rejection, Even before reading your CV. Fix it: Use a clean, professional email (e.g., firstname.lastname@gmail.com). Keep your GitHub, LinkedIn, and portfolio links clean and up to date. ✅ Pro Tip: Use a personal website or portfolio, especially if you're in dev, design, or data. 5. No Response Etiquette or Follow-Up Red flag: Ghosting after being contacted. Or aggressively following up every day. What I see: Candidates who hurt their own chances by not communicating professionally. Fix it: Respond within 24–48 hours. Be polite. If you haven’t heard back after an interview, it’s okay to follow up once after 5–7 business days. ✅ Pro Tip: Keep a simple tracker of where you’ve applied and when, so you can manage follow-ups gracefully. I know job hunting can be frustrating. But small shifts in how you present yourself (both on paper and online) can make a huge difference. Make your profile impossible to ignore. #JobSearch #CareerTips #LinkedInTips #ResumeTips

At Dover, we've been tracking fake candidates for months. Here's what every founder needs to know about spotting them before they waste your time: The scope is bigger than most realize. We're dealing with North Korean state-sponsored attacks, crypto fraud operations, and systematic infiltration of tech companies. Here are the red flags we're tracking: On LinkedIn: - Newly created accounts with low connection counts (especially if they claim years of experience) - Company work history that doesn't check out - early fraudsters pick random companies, but now they're using well-known names - AI-generated profile photos - reverse image search often reveals stock photos - LinkedIn URLs that return 404 error. During communication: - Insist on remote-only work with health or relocation excuses - Use VoIP numbers that phone carrier lookup tools can identify - Promise to relocate "later" but need to start remote In interviews: - Call center background noise (multiple people talking) - Long delays before answering technical questions - Eyes that look like they're reading answers off-screen - Can't answer basic cultural questions about their claimed location The most effective defenses: → Require some portion of your interview process to be in-person. It's impossible for certain fraudsters, especially international ones. → Ask candidates claiming to be from Seattle about their favorite local cafe. If they can't answer simple location-based questions, something's off. — 🌐 Share with your network if this was helpful. The better we all get at detecting fraud, the less likely they'll target startups!

🚨 To My Recruiting Partners: Be Careful! I recently came across several cases of candidate fraud that I want to flag for the recruiting community. On paper, these applicants looked perfect, resumes that matched my open role almost exactly. Honestly, it was some of the strongest inbound I’ve ever seen. But as we know: if it seems too good to be true, it usually is. Here are the red flags I noticed: - The names on the resumes didn’t match the people applying. - Most candidates listed locations in southern states (especially Texas). - They either didn’t provide LinkedIn profiles or the links were broken creating an error. - Those with LinkedIn profiles had 0–5 connections. - No GitHub profiles were shared, despite being required. - On video calls, every candidate had the same Zoom background and identical headphones (same style, color, possibly brand). - When asked why they were job searching: most said their company was mandating RTO. - Others claimed their contract ended and they were looking for remote work only. 👉 What you can do: - Add application questions to your process. - Require LinkedIn and GitHub or other social profiles. - Check small details: locations, dates, company info, and social links across resumes and profiles. - Conduct video screenings early in your process. You need to have eyes on candidates as early as possible in the process. - Trust your gut—if your Spidey sense goes off, follow it. We’ve all heard about North Korean actors attempting to infiltrate U.S. companies via remote roles. I believe I may have encountered some of these attempts over the past two weeks. Be vigilant. Protect your company. And remember: AI screening tools may not catch this type of fraud until it’s too late. Good luck out there. #Recruiting #Hiring #TalentAcquisition #RecruiterLife #CandidateFraud #HRTech #RecruitmentTips #RecruitmentStrategy #HiringFraud #RecruitingCommunity #RecruitmentBestPractices #StayVigilant

The rise of fake resumes and inauthentic profiles is a significant issue. In just the past week, there has been an overwhelming number of fake resumes and inauthentic candidate profiles. This situation is disappointing and wastes time for both recruiters and genuine job seekers. For those hiring, here are practical ways to spot a fake resume or an inauthentic profile: **Resume red flags:** - Employment dates that perfectly align with no gaps across multiple roles - Experience that aligns perfectly with your role - Job titles that jump too quickly (e.g., Junior → Architect → Director in 2–3 years) - Responsibilities copied word-for-word from job descriptions - Certifications listed but no dates, credentials, or links to verify - Multiple resumes from the same candidate with different names or phone numbers **Skills red flags:** - “Expert” in everything: Workday, SAP, Oracle, Epic, Salesforce, AWS, Azure — all at senior level - Vague project descriptions without metrics or business outcomes - Cannot explain the “how” behind achievements when asked - Overuse of buzzwords but no depth when you drill down **Identity/authenticity red flags:** - LinkedIn photo looks AI-generated or mismatched with age/experience - Brand-new LinkedIn profile with 500+ connections overnight - Employment at large, well-known companies—but no coworkers to validate - Inconsistent location history vs. work history - Refuses video interviews or insists on voice only #lgirondajobs

Fake candidates are getting scary good. Here’s some no-special-tech-required things to look for (and keep them out of pipelines): 🚩 Timeline math doesn’t add up — overlapping roles with different cities, “5 years experience” with a tool launched 3 years ago. 🚩 Buzzword soup, no texture — fluent in frameworks, fuzzy on “tell me how you’d debug X.” 🚩 Portfolio déjà vu — same screenshots, different names. GitHub repos all fork/no commit. 🚩 Interview ‘lag’ — evasive on specifics, repeats the question, answers like a blog post. 🚩 Reference ghosts — personal emails only, no corporate domains, can’t describe day-to-day work. Hiring is hard enough without playing Whac-A-Mole with fakes. What are some other red flags you're looking for? #recruiting #talentacquisition #staffing #hrtech #hiring #fraud #ai

𝐈'𝐯𝐞 𝐧𝐨𝐰 𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐝 𝟔𝟓𝟎+ 𝐈𝐓 𝐫𝐞𝐬𝐮𝐦𝐞𝐬. 𝟗𝟓% 𝐦𝐚𝐤𝐞 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐟𝐚𝐭𝐚𝐥 𝐦𝐢𝐬𝐭𝐚𝐤𝐞𝐬. 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐭𝐡𝐞 8 𝐫𝐞𝐝 𝐟𝐥𝐚𝐠𝐬 𝐭𝐡𝐚𝐭 𝐠𝐞𝐭 𝐲𝐨𝐮 𝐟𝐢𝐥𝐭𝐞𝐫𝐞𝐝 𝐨𝐮𝐭 𝐛𝐞𝐟𝐨𝐫𝐞 𝐚 𝐡𝐮𝐦𝐚𝐧 𝐞𝐯𝐞𝐧 𝐬𝐞𝐞𝐬 𝐲𝐨𝐮𝐫 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧. New 2026 ATS systems are even pickier than before. These mistakes kill your chances in seconds. 🚩 𝐑𝐞𝐝 𝐅𝐥𝐚𝐠 1: 𝐆𝐞𝐧𝐞𝐫𝐢𝐜 𝐎𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭  ❌ "Seeking a challenging position..."  ✅ Delete it. Use that space for achievements. 🚩 𝐑𝐞𝐝 𝐅𝐥𝐚𝐠 2: 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐈𝐧𝐬𝐭𝐞𝐚𝐝 𝐨𝐟 𝐑𝐞𝐬𝐮𝐥𝐭𝐬  ❌ "Responsible for network security"  ✅ "Reduced security incidents by 45% through..." 🚩 𝐑𝐞𝐝 𝐅𝐥𝐚𝐠 3: 𝐌𝐢𝐬𝐬𝐢𝐧𝐠 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 𝐟𝐫𝐨𝐦 𝐉𝐨𝐛 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧  ❌ Generic tech terms  ✅ Mirror their exact language (ATS scans for this) 🚩 𝐑𝐞𝐝 𝐅𝐥𝐚𝐠 4: 𝐓𝐨𝐨 𝐋𝐨𝐧𝐠 (3+ 𝐩𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝐦𝐢𝐝-𝐥𝐞𝐯𝐞𝐥)  ❌ Everything you've ever done  ✅ Relevant roles and achievements only 🚩 𝐑𝐞𝐝 𝐅𝐥𝐚𝐠 5: 𝐔𝐧𝐞𝐱𝐩𝐥𝐚𝐢𝐧𝐞𝐝 𝐄𝐦𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐆𝐚𝐩𝐬  ❌ Blank spaces in timeline  ✅ Brief, honest explanation (consulting, caregiving, learning) 🚩 𝐑𝐞𝐝 𝐅𝐥𝐚𝐠 6: 𝐒𝐤𝐢𝐥𝐥𝐬 𝐋𝐢𝐬𝐭𝐞𝐝 𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐂𝐨𝐧𝐭𝐞𝐱𝐭  ❌ "Python, AWS, Docker"  ✅ "Used Python to automate AWS deployments, reducing release time by 60%" 🚩 𝐑𝐞𝐝 𝐅𝐥𝐚𝐠 7: 𝐍𝐨 𝐌𝐞𝐭𝐫𝐢𝐜𝐬 𝐨𝐫 𝐐𝐮𝐚𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧  ❌ "Improved system performance"  ✅ "Improved system response time from 3s to 0.8s, supporting 10K more daily users" 🚩 𝐑𝐞𝐝 𝐅𝐥𝐚𝐠 8: 𝐀𝐈-𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐝 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧  ❌ Generic AI phrases like "leveraged synergies," "spearheaded initiatives"  ✅ Specific, human language: "Built a Python script that saved our team 15 hours weekly" 𝐓𝐡𝐞 𝐟𝐢𝐱: Treat every line like expensive real estate. Results beat responsibilities every time. 𝐓𝐡𝐞 𝐭𝐫𝐮𝐭𝐡: Your resume's job isn't to list experience. It's to prove impact. 𝐖𝐡𝐢𝐜𝐡 𝐦𝐢𝐬𝐭𝐚𝐤𝐞 𝐢𝐬 𝐜𝐨𝐬𝐭𝐢𝐧𝐠 𝐘𝐎𝐔 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬? (𝐁𝐞 𝐡𝐨𝐧𝐞𝐬𝐭!) 𝐂𝐨𝐦𝐦𝐞𝐧𝐭 𝐛𝐞𝐥𝐨𝐰 𝐚𝐧𝐝 𝐈'𝐥𝐥 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐟𝐢𝐱 𝐢𝐭. For those who don't know me, I'm Dave, an IT Career and Life Coach. I help IT professionals identify their next role, land the job, get promoted, and succeed in work and life. 📌 Save this post to update your resume the right way  ♻️ Repost to help other IT pros get their application past the ATS  🔔 Follow me, Coach Dave, for strategies that move you from invisible to indispensable

LinkedIn is broken. The number of scams is getting out of hand and it's ruining it for everyone… They need to shut these people down or people are going to start quitting the platform. How many fake messages, proposals, and general BS do you get a day? You can report these people, but they keep coming. I had a proposal request from someone from a local Startup and after reviewing their profile I called them out for being fake. They then cussed me out in Mandarin. The rise of fake LinkedIn accounts and aggressive scams, as described in your experience with Mandarin-language harassment, reflects a growing cybersecurity threat exploiting professional networks for social engineering, identity theft, and phishing. These fraudulent accounts often serve as gateways to corporate espionage, credential harvesting, or financial fraud. Below are five actionable strategies to identify suspicious profiles: Red Flags for Fake LinkedIn Accounts 1. Profile Authenticity Check - Incomplete work history: Genuine professionals typically list specific roles, achievements, and skills. Scammers often use vague descriptions like "Business Development Expert at Startup". - Mismatched connections: Fake accounts usually have 500+ connections but few endorsements or mutual contacts in your industry. 2. Image Analysis - Use reverse image search tools to detect profile pictures stolen from stock photos or unrelated social media accounts. Generative AI-generated faces often have unnatural features like asymmetrical earrings or blurred backgrounds. 3. Language Patterns - Watch for unsolicited messages with poor grammar, urgent requests for contact info, or mismatched language cues (e.g., a "local" recruiter suddenly switching to Mandarin when challenged). 4. Employment Verification - Cross-check claimed employers through official websites or direct phone calls. The "local startup" that approached you likely has no digital footprint beyond LinkedIn. 5. Behavioral Signals - Fake accounts often react aggressively to scrutiny (as in your case) or disappear/reappear under new names. Legitimate professionals usually respond calmly to verification requests. Bonus: Comments & Likes - Look at what they've commented or liked recently. If its a bunch of content from china or India, they are probably not a cute start up owner from LA. LinkedIn’s own data shows a 67% increase in fake account reports since 2023, with AI-generated profiles becoming nearly indistinguishable from real ones. While platforms work on detection algorithms, users must adopt proactive verification habits – assume uncertainty until proven otherwise, and report suspicious activity through LinkedIn’s “About this profile” feature, which reveals account creation dates and edit history. #scams #scam #linkedinscans #cyberinsurance #cybersecurity #socialengineering #cio #ciso

Fake candidates and AI deepfakes are on the rise - and companies need to take this threat seriously. The Pragmatic Engineer shared an interesting article yesterday highlighting Vidoc Security, a full-remote security startup, who recently encountered two incidents where candidates used AI-generated deepfake avatars during video interviews to misrepresent their identities. Fortunately, the company identified these imposters before extending any offers, but they share learnings on how others can avoid wasting time. ❗️Top 5 Tips to Avoid Hiring Fake Candidates: 1. Conduct Mandatory Video Interviews: Insist on video calls for all interview stages. Be cautious of candidates who refuse to turn on their cameras or provide excuses for not doing so. 2. Verify Candidate Identities: Request official identification documents early in the process. Cross-reference these with the candidate’s provided information to ensure consistency. An absence of a digital footprint is suspicious. If there’s no trace of a candidate anywhere online, it could be a flag. 3. Utilize Real-Time Assessments: Incorporate live technical assessments or coding tests during interviews to validate the candidate’s claimed skills and deter potential imposters. 4. Perform Comprehensive Background Checks: Reach out to previous employers and references. Independently verify the legitimacy of these contacts to ensure authenticity. 5. Monitor for Inconsistencies: Be alert to discrepancies in employment history, evasive behavior, or reluctance to provide specific examples of past work. Also look at Linkedin profiles and check when it was created - if within the last month or so, it's likely a red flag.