← InterSystems Interview Insights
Pretty standard opener, talked through a backend project I'd worked on.
Select a project that aligns with InterSystems' focus on high-performance, scalable data platforms, and structure your answer using a clear narrative arc: context, problem, decision, trade-off, and outcome. Emphasize the 'why' behind each technical choice, comparing alternatives and quantifying the impact of your decisions.
Pro tip: InterSystems values deep technical insight and pragmatic trade-offs, so explicitly discuss what you gave up with each decision and how you mitigated the downsides. Also, connect your choices to business or user impact to show product thinking.
Briefly describe the project's goal, your role, and the constraints (e.g., timeline, team size, performance targets). Keep it concise to focus on technical decisions.
Explain the specific technical challenge you faced and why it was non-trivial. Highlight any requirements that forced you to make trade-offs.
State the technical decision you made, and walk through the alternatives you considered. Explain the criteria you used to evaluate them.
Discuss the pros and cons of your chosen approach versus the alternatives. Be explicit about what you sacrificed and how you addressed potential risks.
Quantify the results (e.g., performance improvements, cost savings, user impact) and reflect on what you learned or would do differently.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Start by scanning the code for familiar structural patterns (loops, conditionals, function definitions) and naming conventions, then verbalize your hypotheses about each section's purpose. Focus on demonstrating a systematic, logical thought process rather than arriving at a perfect interpretation, and explicitly note where you're inferring from context.
Pro tip: Treat this as a collaborative debugging session: narrate your reasoning out loud and invite the interviewer to confirm or correct your assumptions, which shows adaptability and a willingness to learn unfamiliar technologies.
Look for keywords, indentation, and delimiters to guess whether it's imperative, functional, or object-oriented, and identify major blocks like functions, classes, or modules.
For each block, compare its syntax to languages you know (e.g., 'this looks like a for-each loop') and state what the block likely accomplishes based on variable names and operations.
Follow how data moves through the code—inputs, transformations, outputs—and note any side effects like I/O, mutations, or error handling that reveal intent.
Provide a concise explanation of what each section does in plain English, acknowledging any uncertainty and how you'd verify it (e.g., running tests, checking docs).
Relate the code to design patterns, trade-offs, or potential improvements, showing you can evaluate unfamiliar code critically.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.