hackajob intelligence helps recruiters quickly find relevant, verified tech candidates, without relying on rigid filters or keyword searches.

On hackajob, you're not limited to predefined skills in a database.. Free-text filters let you say exactly what you’re looking for. Just like you’d explain it to a colleague.

Whether it’s a specific background, niche experience, or something that’s hard to capture in a job description, just type (or say it aloud 🎙) in plain english.

Need something specific? Be specific.

Every must-have or nice-to-have you add shapes your match list in real time. So you can go from 100:1 to 10:10 with total clarity — and save time while you’re at it 💪

💡Candidates must meet every must-have to appear in your match list.

💡The more nice-to-haves they meet, the higher up they’ll be.

If you're not sure where to start, we’ve pulled together real examples (below) we see users applying across the platform. Use them in your initial job prompt or when adding must-have and nice-to-have filters later on.

🛠 Example Requirements

These examples can be used in your search prompt, must-have, or nice-to-have filters—whenever you’re creating or refining a job.

🔄 Common filter types to explore

• Past employers: “Must have worked for Spotify, Deliveroo or Revolut or Uber”

• Tenure: “More than 18 months tenure in each position”

• Project type: “Led a project from design to implementation”

• Industry: “Experience in retail tech”, “Worked for a unicorn startup”

• Exclusion: “Do not include candidates with freelance experience”

🎯 Career Background & Experience

• Must have worked for a product-led organisation

• Cannot have worked for a consultancy or agency

• Experience working on SaaS or B2C products

• Background in fast-paced, VC-backed startups

• Experience in end-to-end delivery of technical projects

• Should not have been in a freelance role for the past 3 years

• Prefer experience in companies with <1000 employees

📈 Tenure & Progression

• At least 1 year tenure in each previous role

• Average tenure of 3+ years at their most recent company

• Frequent promotions or scope growth every 2–3 years

• Staff-level responsibilities or above

• Career progression from IC to tech lead

🧠 Technical & Domain Expertise

• Experience with large data sets or real-time processing

• Has worked with LLMs or AI-driven platforms

• Hands-on with cloud-native architecture (AWS, GCP, etc.)

• Experience building APIs used by external customers

• Production-grade experience in Java/Kotlin or Go

• AI Ops or MLOps background

• Strong experience in observability and platform engineering

🎓 Academic & Intellectual Signals

• Computer Science degree from a Russell Group university

• Holds a MS or PhD in a quantitative subject

• Published in peer-reviewed ML/AI journals

• Attended a top 20 global university

💬 Soft Skills & Influence

• Experience mentoring junior engineers or leading teams

• Strong cross-functional collaboration (e.g. working with product/design)

• Stakeholder management across departments

• Clear written communication skills for technical documentation

• Recognition for leadership, such as internal awards or special projects

🧩 Niche or Role-Specific Prompts

• Has designed and implemented a payments system

• Experience building internal developer platforms

• Exposure to regulated industries like finance or healthcare

• Familiarity with security and compliance (SOC2, ISO27001)

• DevOps engineer with prior software engineering background

• Designed systems to handle >1M daily users

• Experience migrating legacy monoliths to microservices

💡 Tips for power users

1) Write it your way. Don't worry about exact phrasing. Just explain what you’re looking for. The platform will interpret and show you how it understands your request.

2) Iterate as you go. Add or remove filters, drag between must-have and nice-to-have, and use hover explanations to see how filters impact your matches.

3) Use skills insights. Check how many candidates meet each requirement before tweaking. Data beats guesswork every time!