LinkedIn Boolean Search Strings for 15 Common Roles

Boolean search is the recruiter’s power tool. Master it, and you’ll find candidates that other recruiters miss. Ignore it, and you’ll spend hours scrolling through irrelevant results.

But here’s the problem: writing good Boolean strings takes practice. You need to know which keywords matter, how to combine them, and which terms to exclude to filter out noise. For 15 different roles, that’s a lot of tribal knowledge to carry around.

This guide gives you ready-to-use Boolean search strings for 15 of the most common tech roles. Copy, paste into LinkedIn Recruiter or Sales Navigator, and start sourcing.

Boolean Basics (60-Second Refresher)

If you already know Boolean operators, skip to the role-specific strings. If not, here’s what you need:

AND — Both terms must be present. React AND TypeScript finds profiles with both.

OR — Either term can be present. React OR Vue OR Angular finds profiles with any of the three.

NOT — Exclude a term. Developer NOT Manager excludes anyone with “Manager” in their profile.

“Quotes” — Exact phrase. "machine learning" finds that exact phrase, not “machine” and “learning” separately.

(Parentheses) — Group terms. (React OR Vue) AND TypeScript means: must have TypeScript, and must have either React or Vue.

Pro tip: LinkedIn’s search isn’t case-sensitive for operators in Recruiter, but capitalizing AND/OR/NOT makes your strings easier to read and debug.

The 15 Roles

1. Frontend Developer

("frontend developer" OR "front-end developer" OR "frontend engineer" OR "front-end engineer" OR "UI developer" OR "UI engineer") AND (React OR Vue OR Angular OR Svelte) AND (TypeScript OR JavaScript) NOT (intern OR internship OR student OR "no experience")

Search tips:

Add AND ("senior" OR "lead" OR "staff") if you need seniority
Include AND (Redux OR "state management" OR Zustand OR Pinia) for candidates with deeper architecture experience
Try AND ("design system" OR Storybook OR Figma) for frontend developers with design sensibility

What to look for: Recent projects showing component architecture, not just “I used React.” Check for TypeScript adoption — it signals engineering discipline. Portfolio links or GitHub activity are strong signals.

2. Backend Developer

("backend developer" OR "back-end developer" OR "backend engineer" OR "back-end engineer" OR "server-side developer" OR "API developer") AND (Python OR Java OR Go OR Rust OR "Node.js" OR "C#" OR Kotlin) AND (PostgreSQL OR MySQL OR MongoDB OR "SQL Server" OR Redis) NOT (intern OR internship OR student)

Search tips:

Narrow by language: replace the OR group with a single language for focused results
Add AND (REST OR GraphQL OR gRPC OR "API design") to find candidates with API experience
Include AND (Docker OR Kubernetes OR AWS OR GCP OR Azure) for cloud-savvy candidates

What to look for: Production experience matters more than language count. A developer with 5 years of Python backend is often more valuable than one who lists 8 languages but only used each for a side project.

3. Full-Stack Developer

("full-stack developer" OR "fullstack developer" OR "full stack developer" OR "full-stack engineer" OR "fullstack engineer") AND (React OR Vue OR Angular) AND (Node OR Python OR Java OR Go OR Ruby OR "C#") NOT (intern OR internship OR junior OR student)

Search tips:

Full-stack often means “frontend-leaning” or “backend-leaning” — check the profile to see which side is stronger
Add AND (AWS OR GCP OR Azure OR Docker) for candidates comfortable with deployment
Try AND (PostgreSQL OR MongoDB) to find candidates who handle their own data layer

What to look for: True full-stack developers should have projects or roles showing both frontend and backend work — not just listing technologies. Look for system ownership: “built and deployed the entire user dashboard” is better than “worked on the frontend team.”

4. DevOps Engineer

(DevOps OR "DevOps engineer" OR "site reliability" OR SRE OR "platform engineer" OR "infrastructure engineer" OR "cloud engineer") AND (Kubernetes OR Docker OR Terraform OR Ansible OR Jenkins OR "GitHub Actions" OR "GitLab CI") AND (AWS OR GCP OR Azure OR "cloud infrastructure") NOT (intern OR student OR sales)

Search tips:

Add AND (Linux OR Ubuntu OR "Red Hat" OR CentOS) for sysadmin-rooted candidates
Include AND (Prometheus OR Grafana OR Datadog OR "New Relic") for monitoring-focused roles
Try AND (Python OR Go OR Bash) for DevOps engineers who write automation code

What to look for: Certifications (AWS Solutions Architect, CKA) are common and sometimes meaningful in DevOps. More importantly, look for incident response experience and production environment scale (“managed 200+ microservices” vs. “used Docker”).

5. Data Scientist

("data scientist" OR "data analyst" OR "ML engineer" OR "machine learning engineer" OR "applied scientist" OR "research scientist") AND (Python OR R OR SQL) AND ("machine learning" OR "deep learning" OR "statistical modeling" OR "data analysis" OR TensorFlow OR PyTorch OR scikit-learn) NOT (intern OR student OR "data entry")

Search tips:

Add AND (NLP OR "computer vision" OR "recommendation systems" OR "time series") for domain-specific roles
Include AND (Spark OR Databricks OR BigQuery OR Snowflake) for big data experience
Try AND (PhD OR "Master's" OR "research") if the role requires advanced education

What to look for: Published papers and Kaggle rankings are nice, but production deployment experience is what matters. “Deployed a fraud detection model serving 10M predictions/day” beats “trained a model to 95% accuracy in a notebook.”

6. Product Manager

("product manager" OR "product owner" OR "PM" OR "senior PM" OR "group PM" OR "principal PM" OR "director of product") AND (SaaS OR B2B OR B2C OR "product strategy" OR roadmap OR "product development" OR agile) NOT (marketing OR "project manager" OR construction OR manufacturing)

Search tips:

The NOT "project manager" is critical — without it, you’ll get flooded with project management profiles
Add AND ("data-driven" OR analytics OR "A/B testing" OR metrics) for analytical PMs
Include AND (API OR platform OR developer OR technical) for technical PM roles

What to look for: Impact metrics in their profile: “grew DAU from 50K to 200K” or “reduced churn by 15%.” Beware of PMs who only list process (Scrum, Jira, sprints) without outcomes.

7. UX Designer

("UX designer" OR "UI/UX designer" OR "product designer" OR "UX researcher" OR "interaction designer" OR "experience designer") AND (Figma OR Sketch OR "Adobe XD" OR InVision OR Framer) AND ("user research" OR "usability testing" OR prototyping OR wireframes OR "design system") NOT (graphic OR print OR "interior design")

Search tips:

Add AND (mobile OR iOS OR Android) for mobile-focused UX roles
Include AND (SaaS OR B2B OR enterprise) for enterprise design experience
Try AND ("design system" OR "component library") for systematic designers

What to look for: Portfolio is everything. The LinkedIn profile tells you where they worked; the portfolio tells you what they actually did. Always click through to their portfolio link.

8. QA Engineer

("QA engineer" OR "quality assurance" OR "test engineer" OR "SDET" OR "QA automation" OR "test automation" OR "quality engineer") AND (Selenium OR Cypress OR Playwright OR "test automation" OR "automated testing" OR Jest OR "unit testing") NOT (intern OR student OR "quality control" OR manufacturing)

Search tips:

Add AND (Python OR Java OR JavaScript OR TypeScript) for automation engineers who code
Include AND (API OR REST OR Postman) for API testing experience
Try AND (CI OR "continuous integration" OR Jenkins OR "GitHub Actions") for candidates who integrate testing into pipelines

What to look for: The split between manual QA and automation QA is important. If the role needs automation, look for actual test framework experience, not just “familiar with Selenium.” Code contributions or testing frameworks they’ve built are strong signals.

9. Mobile Developer

("mobile developer" OR "iOS developer" OR "Android developer" OR "mobile engineer" OR "React Native developer" OR "Flutter developer") AND (Swift OR Kotlin OR "React Native" OR Flutter OR Dart OR "SwiftUI" OR Jetpack) NOT (intern OR student OR "mobile sales" OR "mobile marketing")

Search tips:

Split into separate searches for iOS (Swift, SwiftUI, Objective-C) and Android (Kotlin, Jetpack Compose, Java) if the role is platform-specific
Add AND ("App Store" OR "Google Play" OR "published app") for developers with shipping experience
Include AND (Firebase OR "push notifications" OR "in-app purchases") for platform service experience

What to look for: Published apps are the strongest signal. Check the App Store / Google Play for their work. Downloads count, ratings, and update frequency tell you more than any resume.

10. Machine Learning Engineer

("machine learning engineer" OR "ML engineer" OR "MLOps engineer" OR "AI engineer" OR "applied ML" OR "deep learning engineer") AND (Python OR PyTorch OR TensorFlow OR JAX) AND ("model deployment" OR MLOps OR "model serving" OR inference OR "feature engineering" OR "training pipeline") NOT (intern OR student OR "data analyst")

Search tips:

Add AND (Kubernetes OR Docker OR "model serving" OR Triton OR TorchServe) for production ML
Include AND (LLM OR "large language model" OR "generative AI" OR transformer) for GenAI-focused roles
Try AND (Spark OR "data pipeline" OR Airflow OR Kubeflow) for ML infrastructure experience

What to look for: The gap between “trained a model” and “deployed a model to production” is massive. Look for infrastructure vocabulary: serving, latency, throughput, A/B testing, monitoring, retraining pipelines. That’s where real ML engineering lives.

11. Cloud Architect

("cloud architect" OR "solutions architect" OR "infrastructure architect" OR "cloud engineer" OR "principal engineer") AND (AWS OR GCP OR Azure OR "multi-cloud") AND (Terraform OR CloudFormation OR Pulumi OR "infrastructure as code") AND ("system design" OR microservices OR "distributed systems" OR "high availability") NOT (intern OR student OR sales)

Search tips:

Cloud certifications are actually relevant here: AWS Solutions Architect Professional, GCP Professional Cloud Architect
Add AND (Kubernetes OR "service mesh" OR Istio) for container orchestration experience
Include AND (security OR compliance OR "zero trust" OR IAM) for security-conscious architects

What to look for: Architecture decisions at scale. “Designed multi-region failover for 99.99% uptime” is meaningful. “Used AWS” is not. Look for blog posts or talks — architects who teach are usually the real deal.

12. Cybersecurity Analyst

("cybersecurity analyst" OR "security analyst" OR "security engineer" OR "information security" OR "infosec" OR "SOC analyst" OR "penetration tester" OR "security consultant") AND (SIEM OR "incident response" OR "vulnerability assessment" OR "penetration testing" OR firewall OR IDS OR IPS) NOT (intern OR student OR "physical security" OR guard)

Search tips:

Certifications matter in security: CISSP, CEH, OSCP, CompTIA Security+
Add AND (cloud OR AWS OR Azure OR GCP) for cloud security specialists
Include AND (Python OR scripting OR automation) for security engineers who build tools

What to look for: Incident response experience is gold. “Led response to a ransomware incident affecting 500 endpoints” tells you more than any certification. Also look for bug bounty participation — it shows hands-on offensive skills.

13. Scrum Master

("scrum master" OR "agile coach" OR "agile lead" OR "delivery manager" OR "release train engineer") AND (Scrum OR Kanban OR SAFe OR agile OR "continuous improvement") AND (Jira OR Confluence OR "Azure DevOps" OR "agile tools") NOT (intern OR student OR "project manager" OR construction)

Search tips:

Certifications: CSM, PSM, SAFe Agilist — these are common and expected
Add AND (engineering OR software OR technology OR IT) to filter for tech-specific Scrum Masters
Include AND (metrics OR velocity OR "cycle time" OR "lead time") for data-driven agile practitioners

What to look for: The best Scrum Masters talk about team outcomes, not process. “Reduced cycle time from 14 days to 5 days” beats “facilitated daily standups and sprint retrospectives.” Also look for conflict resolution and coaching examples.

14. Technical Writer

("technical writer" OR "documentation engineer" OR "content developer" OR "API writer" OR "developer advocate" OR "documentation specialist") AND (API OR SDK OR "developer documentation" OR "user guides" OR "technical documentation") AND (Markdown OR Git OR "docs-as-code" OR "content management" OR DITA) NOT (intern OR student OR "creative writer" OR novelist OR journalist)

Search tips:

Add AND (Python OR JavaScript OR "code samples") for writers who can write code examples
Include AND ("developer experience" OR DX OR "developer relations") for DevRel-adjacent roles
Try AND (OpenAPI OR Swagger OR "API reference") for API documentation specialists

What to look for: Published documentation is the portfolio. Check for links to docs they’ve written. Clear structure, good code examples, and well-organized reference material are strong signals. Writing samples beat certifications in this role.

15. Recruitment Consultant

("recruitment consultant" OR "talent acquisition" OR recruiter OR "recruiting specialist" OR "sourcing specialist" OR "headhunter" OR "talent sourcer") AND ("tech recruiting" OR "IT recruiting" OR engineering OR software OR technology OR SaaS) AND (LinkedIn OR sourcing OR Boolean OR ATS OR "candidate pipeline") NOT (intern OR student OR "HR generalist" OR payroll OR benefits)

Search tips:

Add AND (agency OR RPO OR "recruitment agency") for agency-side recruiters
Include AND ("employer branding" OR "talent marketing" OR "recruitment marketing") for EB-focused roles
Try AND (Europe OR Berlin OR London OR remote) for geo-specific sourcing

What to look for: Metrics are everything: “filled 45 roles in 12 months” or “maintained 85% offer acceptance rate.” Check for tech-specific vocabulary — a recruiter who understands “microservices architecture” vs. one who just searches for “Java developer” will perform very differently.

Making Boolean Search Faster

These strings work. But manually crafting Boolean queries for every new job description is still time-consuming. Here’s what eats your time:

Reading the JD and identifying which keywords to include
Remembering synonyms — is it “DevOps” or “SRE” or “Platform Engineer”?
Balancing specificity — too broad and you get 10,000 results, too narrow and you get 3
Iterating — your first query rarely works perfectly

This is where JD parsing becomes valuable. Upload a job description, and AI extracts the key requirements and generates Boolean search strings automatically — including synonym variations and exclusion terms you might not think of.

Instead of spending 15 minutes crafting a Boolean string from scratch, you get copy-paste-ready queries in 3 seconds. You can still edit them — AI gives you the starting point, you refine based on your market knowledge.

Advanced Boolean Tips

Nested Parentheses

You can nest groups for complex queries:

((React OR Vue) AND TypeScript) AND ("senior" OR "staff" OR "lead") AND (Berlin OR Munich OR Hamburg OR remote)

This finds senior-level React/Vue developers with TypeScript in major German cities or remote.

Title Filters

On LinkedIn Recruiter, combine Boolean with the Title filter for cleaner results. Put your skill/tech terms in the keywords field and role titles in the Title filter. This prevents matching on people who merely mention a technology in passing.

Exclusion Chains

Stack NOT operators to clean up noisy results:

"data engineer" AND (Python OR Scala) NOT (intern OR student OR professor OR "data entry" OR analyst OR "business intelligence")

The 80/20 Rule

Your first Boolean search won’t be perfect. Aim for 80% relevant results, then refine. Add a NOT term for every irrelevant result pattern you see. After 2-3 iterations, you’ll have a clean search.

Tired of writing Boolean strings by hand? Try Inga CRM’s JD Parser — upload a job description and get copy-paste-ready LinkedIn Boolean queries in 3 seconds, along with target companies and pipeline math.