The right resume skills for your profession

Frontend developer and frontend engineer roles look for the same core skills. Lead with the fundamentals every team expects — JavaScript, TypeScript, HTML and CSS — then your primary framework (usually React), plus proof you can ship quality: testing, version control, API integration and performance. Tailor the exact mix to the job you're targeting.

Backend developer and backend engineer roles look for the same core skills. Lead with a primary language (Python, Java, Go or Node.js) and a framework you've shipped with, then a solid database story (PostgreSQL plus Redis), API design (REST, and GraphQL where relevant), and the cloud and delivery basics — Docker, CI/CD and a cloud provider. As you grow, add system design, messaging (Kafka or RabbitMQ) and observability. Tailor the exact mix to the job you're targeting.

Full stack developer and full stack engineer roles look for one person who can own a feature end to end. Lead with a language you ship in both layers (JavaScript/TypeScript or Python), a frontend framework (React) and a backend framework (Node.js/Express or Django), then a solid database story (PostgreSQL plus Redis), API design (REST, GraphQL where relevant), and the delivery basics — Git, Docker, CI/CD and a cloud provider. As you grow, add system design, auth and security, and testing across the stack. Tailor the exact mix to the job you're targeting.

Lead with the technical core every analytics team expects — SQL, Excel, and a BI tool like Tableau or Power BI — then add the analysis depth that separates you: statistics, data cleaning, and increasingly Python or R. Round it out with the business skills that turn numbers into decisions: KPI reporting, data storytelling, and stakeholder communication. Tailor the exact mix to the job you're targeting.

Lead with the technical foundation every team expects — Python, SQL, and strong statistics — then your machine learning depth: scikit-learn, feature engineering, and model evaluation, plus deep learning where relevant (TensorFlow or PyTorch). Show you can put models to work with data engineering and MLOps, and prove you turn results into business impact through experimentation and communication. Tailor the exact mix to the job.

ML engineer roles sit between data science and production engineering — they want models that ship and stay reliable. Lead with Python and an ML framework you've trained models in (PyTorch, TensorFlow or scikit-learn), a solid data foundation (SQL, pandas, feature engineering), and the production side that separates ML engineers from data scientists — model deployment, MLOps, Docker and a cloud provider. As you grow, add deep learning, distributed training, model monitoring and pipeline orchestration. Tailor the exact mix to the job you're targeting.

AI engineer and LLM engineer roles are about building products on top of foundation models — reliably and in production. Lead with Python and hands-on LLM work (OpenAI/Anthropic APIs, prompt engineering), retrieval-augmented generation (RAG) with a vector database, and an orchestration framework (LangChain or LlamaIndex), then the production side — deployment, evaluation and monitoring. As you grow, add fine-tuning, agents, multimodal models and inference optimization. Tailor the exact mix to the job you're targeting.

Balance three sides of the role. Strategy and discovery — roadmapping, user research, prioritization — show you decide what to build. Execution — Agile, backlog management, writing PRDs — shows you ship it. Data — product analytics, A/B testing, KPIs — shows you know if it worked. Wrap it in stakeholder communication and leadership. Tailor the exact mix to the seniority and product type you're targeting.

Lead with the design craft — wireframing, prototyping, interaction and UI design in Figma — then the research that grounds it: user research, usability testing, and journey mapping. Add information architecture, accessibility, and the collaboration skills to work with product and engineering. Roles labeled UX designer, UX/UI designer, and product designer look for the same core. Tailor the exact mix to the job and your seniority.

Lead with the methodologies you run projects in — Agile, Scrum, Waterfall — then the delivery core: planning, scheduling, risk management, and budgeting. Add the stakeholder and communication skills that keep everyone aligned, name the tools you use (Jira, MS Project, Asana), and note any certifications like PMP or CSM. Tailor the exact mix to the industry and seniority you're targeting.

Lead with the core craft — requirements gathering, requirements analysis, and documentation — then process modeling (BPMN, workflow analysis) and data analysis (SQL, Excel, a BI tool). Show the methodologies you work in (Agile, Waterfall), the tools you use (Jira, Visio), and the stakeholder communication that ties business needs to delivery. Tailor the exact mix to the industry and seniority you're targeting.

Show breadth across channels plus proof you drive results. Cover the acquisition mix — SEO, PPC/Google Ads, content, social, and email — then the analytics that prove it worked: Google Analytics, conversion tracking, and ROI. Add the strategy and leadership that make you a manager, not just a specialist, and name the platforms you run campaigns in. Tailor the exact mix to the channels the role prioritizes.

Lead with the technical core every finance team expects — financial modeling, advanced Excel, and financial analysis (variance, ratio, trend) — then the planning and valuation depth: budgeting, forecasting, DCF and valuation. Add accounting fundamentals (GAAP), the systems you work in (SAP, Bloomberg), and any certification like CFA or CPA. Round it out with the communication to present findings. Tailor the exact mix to corporate FP&A, banking, or investment roles.

DevOps, platform and SRE roles look for the same core: automate delivery, run infrastructure reliably, and make systems observable. Lead with containers and orchestration (Docker, Kubernetes), a cloud provider (AWS, GCP or Azure), CI/CD pipelines and infrastructure as code (Terraform), then Linux, scripting (Bash/Python) and configuration management (Ansible). As you grow, add observability (Prometheus, Grafana), security/DevSecOps, and reliability practices — SLOs, incident response and cost optimization. Tailor the exact mix to the job you're targeting.

QA, test automation and SDET roles look for someone who protects quality without slowing delivery. Lead with test automation and a framework you've shipped with (Selenium, Playwright or Cypress), a programming language (Java, Python or JavaScript), API testing (Postman, REST Assured) and SQL for data checks, then the fundamentals — test design, manual testing and bug tracking (Jira). As you grow, add CI/CD integration, performance and security testing, and test strategy. Tailor the exact mix to the job you're targeting.