The exact keywords recruiters and ATS systems scan for in tech, finance, marketing, data, product, and operations resumes.
Your resume can be brilliantly written and completely invisible to ATS if it doesn't contain the right keywords. This isn't about keyword stuffing — it's about using the vocabulary that hiring managers and ATS systems are calibrated to recognize.
The rule: read 5-10 job descriptions for your target role. The words that appear in most of them are your required keywords.
Core: distributed systems, microservices, REST API, gRPC, event-driven architecture, message queues (Kafka, RabbitMQ), containerization
Cloud: Kubernetes, Terraform, AWS (EC2, S3, Lambda, RDS, EKS), GCP, Azure, serverless
Database: PostgreSQL, MySQL, Redis, Cassandra, DynamoDB, Elasticsearch, database optimization, query tuning
2026 additions: LLM integration, AI/ML pipeline, vector database (Pinecone, Weaviate), RAG architecture
Process: agile, CI/CD, DevSecOps, SLA/SLO, observability, incident response
Core: machine learning, deep learning, feature engineering, model training, model serving, A/B testing, statistical analysis
Libraries: PyTorch, TensorFlow, scikit-learn, pandas, NumPy, Hugging Face, LangChain
MLOps: MLflow, Kubeflow, SageMaker, model monitoring, data drift, experiment tracking
Data stack: Spark, dbt, Airflow, Snowflake, BigQuery, Databricks
2026 additions: LLM fine-tuning, RAG, prompt engineering, embeddings, RLHF, multimodal models
Strategy: product roadmap, OKR, product vision, go-to-market, product-market fit, competitive analysis, market sizing
Discovery: user research, customer interviews, usability testing, jobs-to-be-done, personas, voice of customer
Execution: sprint planning, PRD, product requirements, backlog grooming, stakeholder management, cross-functional
Analytics: funnel analysis, cohort analysis, A/B testing, conversion rate optimization, retention, DAU/MAU, NPS
Tools: Jira, Confluence, Figma, Mixpanel, Amplitude, Looker, Tableau
Core: financial modeling, DCF, valuation, due diligence, P&L management, budget forecasting, variance analysis
FinTech-specific: payment processing, PCI DSS, KYC/AML, settlement, reconciliation, credit risk, fraud detection
Banking: credit analysis, portfolio management, risk management, Basel III, IFRS, SEBI compliance
Tools: Bloomberg, Python (pandas), SQL, Excel (advanced), Power BI, VBA
Core: SEO, SEM, PPC, content marketing, social media marketing, email marketing, conversion rate optimization (CRO)
Analytics: Google Analytics 4, Google Tag Manager, Meta Ads Manager, attribution modeling, marketing mix modeling
Channels: performance marketing, influencer marketing, affiliate marketing, programmatic advertising
2026 additions: AI-driven personalization, first-party data strategy, cookieless targeting, generative AI content
Core: supply chain management, logistics, procurement, inventory management, demand forecasting, vendor management
Process: Six Sigma, Lean, Kaizen, process optimization, SOP development, OKRs
Tech: ERP (SAP, Oracle), WMS, TMS, Salesforce, power BI, SQL (for ops analytics)
E-commerce operations: last-mile delivery, NDR management, 3PL management, COD reconciliation
Don't keyword-stuff. Instead:
Use our ATS checker — paste your resume and the JD together to see your exact keyword match score.
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