Most questions fall into three groups: coding problems built around data structures and algorithms (arrays, strings, hash maps, trees, graphs), system design for mid and senior roles, and behavioural questions about teamwork, conflict and past projects. You can also expect a few role-specific questions on the language or stack in the job description. Working through real software engineer interview questions and answers helps, but interviewers care far more about how you reason through a new problem out loud than whether you have memorised a solution.

Start six to eight weeks out with a structured plan: revise core data structures and algorithms first, then move into timed problem solving, mock interviews and behavioural preparation. Build five or six STAR stories, re-familiarise yourself with every project on your CV, and research the company's products and interview format. Short, consistent daily sessions beat last-minute cramming.

Most companies follow the same broad structure: application review and a recruiter screen, an online coding assessment or technical phone screen, then a longer panel covering coding, system design and behavioural fit, and finally a hiring debrief before an offer. The full cycle typically takes between two weeks and two months. As for what to wear to a software engineer interview, smart casual is a safe default — very few tech teams expect formal attire.

Because they test several skills at once — problem solving under time pressure, clean coding, communication and culture fit — on problems that look nothing like day-to-day engineering work. Companies also use standardised loops to filter large applicant volumes, which raises the bar. The good news is that the format is predictable, so focused, deliberate preparation genuinely moves the needle.

Entry-level loops focus on fundamentals: arrays, strings, linked lists, basic recursion and time complexity, plus questions about academic projects, internships and coursework. Expect prompts like "Why did you decide to become a software engineer?" alongside simple team or conflict scenarios. The coding bar is lower than for experienced hires, but interviewers look closely at how curious, coachable and clear-thinking you are.

Use a repeatable framework: restate the problem, ask clarifying questions, trace a small example, state a brute-force solution, then optimise with a known pattern such as two pointers, sliding window, hashing or BFS/DFS. Code it cleanly, narrate your decisions as you go, and finish by testing edge cases. Practising this routine until it's automatic is what interviewers reward.

Python is one of the best languages for interviews because its syntax is concise and its standard library is powerful. Get fluent with lists, dictionaries, sets, heapq, collections and string methods, then work through easy array and string problems before moving to mediums. Track the patterns you're learning — two pointers, sliding window, hash maps — rather than just counting solved problems.

A course is never mandatory. Free coding interview preparation websites such as LeetCode, NeetCode and HackerRank cover all the content you need; what a paid coding interview preparation course adds is structure, curated problem lists and accountability. If you can stick to a self-made study plan, save your money; if you struggle with consistency, a course or an accountability mentor is worth considering.

Most candidates need two to three months of consistent practice — roughly an hour a day — to be interview-ready, and longer if data structures and algorithms are new to you. If you already code regularly, a focused four-to-six-week sprint of daily problems plus mock interviews is usually enough. Consistency matters far more than total hours.

Prepare on two fronts. Coding: drill data structures and algorithms, especially Amazon-tagged problems, and practise writing clean, tested code under time pressure. Behavioural: Amazon weighs the Leadership Principles heavily, so build eight to ten STAR stories covering customer obsession, ownership, disagree and commit and delivering results. Mock interviews for both formats make a real difference.

It typically starts with an online assessment of one or two coding problems, sometimes with a work-style or simulation section, followed by one or two technical phone screens. The final loop usually runs four to five interviews covering coding, system design for SDE2 roles, and behavioural rounds mapped to the Leadership Principles, with a "Bar Raiser" from outside the hiring team involved before the debrief.

Expect two or three coding rounds focused on data structures and algorithms, a system design round if you're interviewing at SDE2 or above, and a long behavioural round where nearly every question maps back to a Leadership Principle. Interviewers also probe deeply into projects you claim on your CV — trade-offs, metrics and what you would do differently — so know your own work inside out.

Yes — it's one of the more demanding big tech loops because of the number of rounds, the high coding bar and the Bar Raiser, who can effectively veto an offer. The upside is that it's highly predictable: the structure, question styles and Leadership Principles are well documented, so candidates who prepare for both the coding and behavioural sides put themselves in a strong position.

Most candidates describe it as intense but fair: interviewers are generally friendly, questions are close to what you practised, and the time pressure is real. The behavioural round often runs longer than expected and digs into specific details of your stories. Reading recent Amazon SDE interview experience write-ups — and ideally speaking with someone who has been through the loop recently — is the best way to calibrate your expectations.

Start by noticing what you naturally enjoy: building interfaces points towards front-end, logic and data flow towards back-end, statistics and patterns towards data roles, and automation or infrastructure towards DevOps and cloud. Ship two or three small projects in different areas, read job descriptions to understand what each role involves day to day, and talk to engineers already working in those specialisms — a handful of real conversations will clarify your direction faster than weeks of browsing.