38 posts · page 1 of 1
Prepare for data engineering interviews: SQL deep dives, Python coding, system design, data modeling, behavioral questions, and take-home project tips.
A complete framework for solving coding interview problems — the 5-step method, pattern recognition, handling stuck moments, communication strategies, common mistakes, and a 100-problem practice roadmap.
Understand what data engineers do, how they differ from data scientists, the core skills required, and why this role is one of the most in-demand in tech.
Most engineers waste their 1-on-1s on status updates. Here is how to use them as a career lever: agenda, topics, feedback, and what to avoid.
The real shift from mid-level to senior engineer is not bigger tickets. It is judgement, scope, and influence. Here is what changes and how to grow into it deliberately.
How to ask for, receive, and act on feedback, and how to navigate performance review cycles without surprises, anxiety, or the dreaded 'meets expectations' shrug.
A practical guide to building a promotion packet: framing scope, gathering evidence, telling a clear story, and avoiding the traps that sink otherwise strong candidates.
Most side projects die in week three. Here is how to pick, scope, and finish side projects that grow your skills, your portfolio, and your career without burning you out.
A grounded guide to what changes from L3 to L6+ in the typical engineering ladder, including scope, autonomy, impact, and how promotions actually work.
Demystify the modern tech interview loop. Learn what each stage tests, how to prepare for it, and the signals interviewers actually look for.
Why speaking at meetups and conferences pays back tenfold, how to pick a topic, build a talk, and turn a single CFP submission into compounding career leverage.
A senior-engineer checklist for system design interviews: how to drive the discussion, allocate time, surface trade-offs, and avoid common traps.
A senior engineer's guide to writing design docs: structure, audience, trade-offs, and the review patterns that lead to fast approval.
A walkthrough of the FAANG interview funnel: recruiter screen, phone screen, onsite loop, debrief, and offer. Learn what each stage tests and how to prepare for each one.
Stop doing 500 random problems. Use spaced repetition, study patterns instead of volume, and run weekly mock interviews to make every LeetCode hour count.
A practical template for engineering cover letters that recruiters actually read. Includes structure, opening hooks, what to cut, and a worked example for a backend role.
A high-level tour of the 10-phase SDE roadmap on Codeloom. Learn what each phase covers, why the order matters, and how to use the full plan to guide your study.
A repeatable 7-step framework for system design interviews. Clarify, estimate, API, data model, high-level, deep dive, bottlenecks — with concrete examples for each step.
STAR is the most-recommended behavioral interview format and the most-misused. Here is how to actually use it without sounding rehearsed or robotic.
Code reviews shape engineering culture more than any other ritual. Here is how to do them well as both the author and the reviewer.
Most first-time open source PRs never get merged. Here is how to pick the right project, the right issue, and ship something real that maintainers will actually accept.
Going freelance is more business than code. Here is a candid guide to finding clients, pricing your work, scoping projects, and not getting burned.
First offer in hand and afraid to ask for more? Here is a candid guide to negotiating without sounding greedy, losing the offer, or selling yourself short.
On-call is part of the job for most production engineers. Here is how to survive your first rotation, sleep better, and come out a stronger engineer.
A practical roadmap to becoming a Backend Developer. One language deep, databases, SQL, REST and GraphQL, auth, caching, queues, and production deployments.
A practical, opinionated roadmap to becoming an AI Engineer in 2026. Covers LLMs, RAG, evals, embeddings, Python, FastAPI, and vector databases.
A practical roadmap to becoming a Data Engineer. SQL deep, Python, warehouses, dbt, Airflow orchestration, batch vs streaming, and cloud data services.
A practical roadmap to becoming a DevOps Engineer. Linux, scripting, Docker, CI/CD, Kubernetes, Terraform, AWS, and observability, in the right order.
A practical roadmap to becoming a Frontend Developer. HTML, CSS, JavaScript deep, TypeScript, React and Next.js, accessibility, performance, and testing.
An honest, opinionated roadmap to becoming a Software Development Engineer. CS fundamentals, one language deep, DSA, system design, Git, and real apps.
A practical roadmap to becoming a Site Reliability Engineer. Linux, networking, observability, IaC, Kubernetes, incident response, and SLOs explained in order.
A practical roadmap to becoming a Software Test Engineer or QA Engineer. Manual testing, Playwright and pytest automation, CI, performance testing, and career growth.
A practical 6-step framework for system design interviews that keeps you on track when you are nervous, short on time, and asked to design something huge.
Leaving a job is easy. Leaving well is rare. Here is how to switch engineering jobs without torching your reputation or your future references.
A realistic plan for software engineer interview prep — what the loops look like, where to study, how to practice deliberately, mock interviews, talking while coding, and behavioral STAR.
A practical, opinionated guide to writing a software engineer's resume — impact bullets, tech stack lists, side projects, and the common mistakes that get resumes skipped in ten seconds.
A clear, professional introduction to JavaScript — what it is, how it runs in browsers and on servers, why it became the most-used language on Earth, and what you can build with it.
A clear, professional introduction to Python — what it is, how it works, why it dominates modern software development, and what you can build with it as a beginner.