Recruiter’s Questions

1\ can you walk me through how you debug a production issue? great response "first, i gather information about the error through logs and monitoring tools i look for any recent code changes that might have triggered the issue i try to reproduce the problem in a test environment using the same inputs if i can't reproduce it, i add more logging to gather additional data once i identify the root cause, i develop a fix, write tests to verify it, and have it peer reviewed before deploying after deployment, i monitor the system to confirm the issue is resolved and document the problem and solution for future reference " mediocre response "i usually check the logs to see what happened, then try to figure out what part of the code is causing the issue once i find the problem, i fix the code and deploy the solution i then check to make sure the issue is resolved " poor response "i'd quickly look at the error logs, make a fix based on what i see, and push it as soon as possible to minimize downtime production issues need fast fixes, so i focus on getting something working quickly rather than spending too much time on analysis or comprehensive testing " 2\ how do you ensure the code you write is maintainable? great response "i follow solid principles and emphasize clean, readable code with meaningful variable and function names i write thorough documentation for complex logic and include comments where necessary without over commenting obvious code i create automated tests at multiple levels and aim for high test coverage of critical paths i also regularly refactor to remove technical debt and conduct code reviews to ensure consistency with team standards i view code as communication with future developers, including my future self " mediocre response "i follow the team's coding standards, write comments, and create tests for my code i try to keep functions small and avoid duplication i also make sure to document any complex logic so others can understand what i've done " poor response "i focus on delivering working code efficiently i'll add comments where things are complex, but i believe code should mostly speak for itself when deadlines are tight, i prioritize getting features shipped, and we can always clean things up later if we need to too much focus on 'perfect' code can slow down delivery " 3\ how do you approach testing in your development workflow? great response "i integrate testing throughout my development process with a strategic approach i write unit tests to verify individual components, integration tests for checking component interactions, and end to end tests for critical user flows i practice tdd when appropriate, writing tests before implementation for complex logic i also ensure edge cases and error conditions are covered beyond automated testing, i conduct manual exploratory testing to catch issues automation might miss i view testing as an investment that improves code quality and speeds up future development " mediocre response "i write unit tests for the main functionality i develop and make sure they pass before submitting my code i try to get decent coverage, especially for critical components if qa finds issues, i add tests to cover those specific cases to prevent regression " poor response "i write basic tests for the main functionality, but i rely on our qa team to catch most issues writing comprehensive tests takes a lot of time that could be spent on new features i think it's more efficient to let qa handle the testing while i focus on development our qa process is thorough, so they'll catch any significant issues " 4\ tell me about a time you had to optimize code performance what was your approach? great response "on a recent project, users reported slow response times on our dashboard first, i used profiling tools to identify bottlenecks rather than making assumptions i discovered that we were making redundant database queries i implemented a caching strategy for frequently accessed data and optimized our queries by adding proper indexes and limiting the data retrieved to only what was needed i also implemented pagination for large data sets i measured performance before and after each change to quantify improvements, achieving a 70% reduction in load time finally, i documented the optimizations for the team and established monitoring to catch any future performance issues " mediocre response "i had a slow loading page that needed optimization i looked at the code and found that we were loading too much data at once i added pagination to limit the data being retrieved and cached some frequently accessed information these changes improved the page load time significantly " poor response "when i encounter slow code, i'll usually look for obvious issues like large loops or inefficient algorithms if that doesn't work, i might add more server resources or suggest we optimize later when it becomes a bigger problem sometimes performance issues resolve themselves with infrastructure upgrades, so i don't always spend a lot of time on deep optimization unless it's absolutely necessary " 5\ how do you keep your technical skills up to date? great response "i maintain a structured approach to continuous learning i dedicate 3 5 hours weekly to professional development through a mix of activities i follow specific tech blogs and newsletters relevant to my stack and subscribe to several technical podcasts for my commute i participate in coding challenges on platforms like leetcode to sharpen my algorithm skills i'm actively involved in two open source projects that expose me to different coding styles and architectures i also attend quarterly meetups in my area and take online courses to explore emerging technologies recently, i completed a course on microservices architecture that i've already applied to improve our system design " mediocre response "i follow several tech blogs and youtube channels when i need to learn something new for a project, i'll do research and tutorials i try to attend a conference once a year if my company supports it, and i occasionally take online courses on platforms like udemy or coursera " poor response "i learn what i need when project requirements demand it i think on the job learning is the most practical approach because you're solving real problems i'll google solutions when i encounter new challenges, which is more efficient than spending time on theoretical knowledge that might not be immediately applicable my focus is on delivering what's needed for the current project " 6\ how do you handle technical disagreements with team members? great response "i approach technical disagreements as collaborative problem solving opportunities rather than conflicts first, i make sure i fully understand their perspective by asking clarifying questions and restating their points i present my viewpoint with clear reasoning and concrete examples, focusing on technical merits rather than personal preferences i try to find common ground and suggest experiments or prototypes when appropriate to test assumptions if we still disagree, i consider the project constraints and team goals to help reach a decision sometimes i've found that combining approaches leads to better solutions than either original idea throughout the process, i maintain respect for my colleagues and remain open to changing my mind when presented with compelling evidence " mediocre response "i explain my reasoning clearly and listen to their perspective if we still disagree, i might suggest we bring in another team member for a third opinion sometimes we'll go with what the more experienced person recommends, or we'll take the issue to the tech lead for a decision the important thing is that we resolve it and move forward " poor response "i present my solution and the technical reasons behind it if there's still disagreement, i'll usually defer to whoever has more experience or authority to make the final call i think it's important to have clear decision makers to avoid getting stuck in analysis paralysis long debates over technical details can waste time when we could be making progress on the actual work " 7\ what's your experience with code reviews, both giving and receiving? great response "i see code reviews as crucial for knowledge sharing and quality control when giving reviews, i first understand the context and requirements, then look at the overall architecture before examining implementation details i provide specific, actionable feedback with explanations of the 'why' behind suggestions, and i always highlight positive aspects along with areas for improvement i ask questions rather than making assumptions and provide references when suggesting alternative approaches when receiving reviews, i view feedback as an opportunity to learn rather than criticism i ask for clarification when needed and discuss trade offs openly i've implemented a personal checklist based on feedback patterns to improve my code quality over time code reviews have significantly improved my understanding of our codebase and exposed me to different problem solving approaches " mediocre response "i participate in code reviews regularly with my team when reviewing others' code, i look for bugs, performance issues, and adherence to our coding standards i try to be constructive with my feedback when receiving reviews, i implement the changes requested and ask questions if i don't understand something code reviews have helped me learn new techniques from my colleagues " poor response "i do code reviews when required by our process i focus on finding obvious bugs or standard violations for complex changes, i trust that the developer has tested their code thoroughly when receiving feedback, i make the requested changes efficiently to move the process along i think reviews are useful but can sometimes slow down development, so i try to keep them brief and focused on major issues only " 8\ explain your approach to handling legacy code great response "i approach legacy code with a systematic strategy first, i take time to understand the existing architecture and business logic before making changes i ensure there are at least basic tests covering critical functionality, adding them if necessary for modifications, i follow the 'boy scout rule' of leaving code better than i found it, making incremental improvements without complete rewrites i use techniques like the strangler pattern to gradually replace problematic sections i document my findings about the system for the team, especially non obvious behaviors when refactoring, i make small, testable changes rather than large scale modifications i've found that treating legacy code with respect while gradually improving it is more effective than complaining about its quality or pushing for complete rewrites " mediocre response "i first try to understand how the code works by reading through it and maybe adding some debug statements before making changes, i make sure i have a way to test that my changes don't break existing functionality i try to follow the existing patterns in the code for consistency, even if they're not what i would have chosen if there's a particularly problematic section, i might refactor it while i'm working on it " poor response "i make the minimal changes needed to implement new features or fix bugs extensive refactoring of legacy code is risky and time consuming i document areas that caused problems for future reference, but i generally focus on adding new code rather than changing old code that's working if the legacy code becomes too problematic, i would recommend a rewrite of that module rather than trying to fix code no one fully understands anymore " 9\ how do you handle technical debt in your projects? great response "i view technical debt as a reality that needs active management i maintain a technical debt inventory alongside our feature backlog so it's visible to both technical and non technical stakeholders i categorize debt by impact and effort to address, which helps in prioritization i negotiate with product managers to allocate approximately 20% of each sprint to addressing technical debt, focusing on items that slow down development or impact reliability for new features, i consider the debt implications of implementation choices and document trade offs explicitly when encountering existing debt during feature work, i apply the 'boyscout rule' to improve that specific area i've found that regular, incremental improvements are more sustainable than occasional large refactoring projects, and being transparent about the business impact of technical debt helps secure time to address it " mediocre response "i identify technical debt during development and add it to our backlog when it starts causing problems or slowing us down, i discuss it with my team and manager to prioritize fixing it i try to include some refactoring when working on related features so we gradually improve the codebase sometimes we dedicate sprint time specifically to address technical debt if it's become a significant issue " poor response "i focus on delivering features on schedule, which is the primary business need technical debt is something to address when we have extra time or when it becomes a major problem i keep a mental note of areas that need improvement, but i find that pushing for technical debt work often gets deprioritized anyway it's usually more practical to work around issues than to spend time fixing underlying problems unless they're blocking progress " 10\ describe how you approach learning a new technology or framework great response "i follow a structured process when learning new technologies i start by understanding the problems the technology solves and how it compares to alternatives i read the official documentation for core concepts rather than jumping straight to tutorials then i build a small, focused project that exercises the key features, consulting both the documentation and community resources like stack overflow and github discussions as i gain confidence, i gradually tackle more complex aspects and edge cases i also connect with the community through forums or local meetups to learn best practices to solidify my understanding, i explain concepts to others or write blog posts, which reveals gaps in my knowledge throughout the process, i maintain notes about my insights and challenges this approach has helped me quickly become productive with new technologies while building a solid foundation " mediocre response "i usually start with online tutorials or courses to get the basics then i try building something simple to practice what i've learned if i get stuck, i search for solutions online or ask more experienced colleagues for help i find that hands on practice is the best way to learn, so i focus on working through examples and gradually build up my skills " poor response "i look for quick tutorials and copy paste examples to get something working fast i think the most efficient way to learn is to solve immediate problems rather than spending time on theory i rely heavily on stack overflow and existing code examples if something is particularly difficult, i'll look for libraries or frameworks that handle that functionality for me the goal is to become productive quickly rather than becoming an expert in every technology " 11\ how do you approach api design? great response "i design apis with both consumers and maintainers in mind i start by clearly defining the problem domain and use cases before writing any code i follow rest or graphql principles as appropriate, focusing on resource modeling and clear naming conventions i design for backward compatibility and versioning from the beginning for security, i implement proper authentication, authorization, and input validation at every endpoint i create comprehensive documentation with examples and maintain it alongside the code i generate openapi/swagger specifications to provide interactive documentation i also build client libraries when appropriate to improve developer experience for complex apis, i create a sandbox environment for testing throughout development, i solicit feedback from potential consumers and iterate based on their usage patterns performance considerations like pagination, filtering, and caching are designed in from the start rather than added later " mediocre response "i follow rest principles and try to make the api intuitive i create endpoints that map to the main entities in our system and use standard http methods i implement validation for inputs and provide error messages that help diagnose problems i make sure to document the endpoints and parameters so that other developers can understand how to use the api " poor response "i focus on creating endpoints that efficiently deliver the functionality we need i prefer to keep the api simple and add features as they're requested rather than overdesigning upfront i document the basics of how to use the api, but i think the endpoint names and parameters should be mostly self explanatory if users have questions, they can always reach out to the development team " 12\ tell me about your experience with automated testing great response "i implement a comprehensive testing strategy with multiple layers for unit tests, i focus on testing business logic in isolation using mocks for dependencies i maintain around 80% coverage for core business logic while being pragmatic about testing simple crud operations for integration tests, i verify component interactions and use test containers for database and external service testing i implement end to end tests for critical user flows, using tools like cypress or selenium i've set up ci pipelines that run the appropriate test suites automatically, with unit and integration tests running on every pr and full e2e suites running nightly i practice tdd for complex business logic, writing tests first to clarify requirements i also use property based testing for data intensive applications to uncover edge cases besides feature testing, i've implemented performance tests with tools like jmeter and security scanning in our pipeline this comprehensive approach has significantly reduced our production incidents while enabling faster development " mediocre response "i write unit tests for my code using frameworks like junit or jest i aim for good coverage of the main functionality and edge cases i also work with qa on integration and end to end tests our ci pipeline runs the tests automatically when we push code, which helps catch issues early testing has helped us find bugs before they reach production " poor response "i create basic tests for the main happy path scenarios comprehensive testing takes a lot of time, so i focus on the most critical features i think manual testing by qa is often more effective for finding real world issues than trying to automate everything when deadlines are tight, i prioritize delivering features and catch up on tests later if needed " 13\ how do you approach system design for scalability? great response "i approach scalable system design methodically, starting with clear requirements including expected load, growth projections, and performance slas i identify potential bottlenecks through load modeling before writing code i design with horizontal scalability in mind, using stateless services when possible and managing state carefully when required i implement appropriate caching strategies at multiple levels—browser, cdn, api, and data layers for databases, i consider read/write patterns to determine if sharding or read replicas would be beneficial i use asynchronous processing through message queues for non critical operations i design with failure in mind, implementing circuit breakers and graceful degradation i establish comprehensive monitoring and alerting from day one, focusing on key business metrics and performance indicators throughout development, i conduct load testing to validate assumptions and identify bottlenecks early this proactive approach has helped me build systems that scale smoothly as demand increases " mediocre response "i design systems with components that can scale independently i use caching for frequently accessed data and consider database optimization like indexing i try to make services stateless when possible so they can be easily replicated if we expect high load, i'll suggest implementing load balancing and consider breaking monoliths into microservices i also think about using asynchronous processing for tasks that don't need immediate responses " poor response "i focus on getting a working solution first and then address scaling issues when they arise premature optimization can waste time on problems we might never encounter if performance becomes an issue, we can add more resources to the servers or optimize the specific bottlenecks i think it's better to respond to actual scaling problems than to overdesign the system initially based on assumptions about future growth " 14\ how do you handle security concerns in your development process? great response "i integrate security throughout the development lifecycle rather than treating it as an afterthought i stay informed about the owasp top 10 and language specific vulnerabilities during design, i conduct threat modeling sessions to identify potential attack vectors in implementation, i follow secure coding practices like input validation, proper authentication and authorization, secure password handling, and protection against injection attacks i use static code analysis tools in our ci pipeline to catch security issues early for dependencies, i use tools like dependabot to monitor and address vulnerabilities i implement proper logging of security events and ensure sensitive data is encrypted both in transit and at rest i collaborate with our security team for regular penetration testing and address findings promptly i also participate in security training to keep my knowledge current this comprehensive approach has helped us maintain a strong security posture while delivering features efficiently " mediocre response "i follow security best practices like input validation, using parameterized queries to prevent sql injection, and implementing proper authentication i make sure sensitive data is encrypted and avoid storing sensitive information in logs i keep dependencies updated to address known vulnerabilities and work with our security team when they identify issues during reviews " poor response "i rely on our security team to identify vulnerabilities and tell us what needs to be fixed i focus on implementing the required functionality first, and then we can address security issues during the security review phase most frameworks have built in protections against common attacks anyway if the security team flags something, i'll prioritize fixing it before release " 15\ tell me about a challenging bug you had to fix how did you approach it? great response "we faced an intermittent data inconsistency issue in our distributed system that only occurred in production under high load first, i improved our logging to capture more context around the failures i analyzed patterns in the occurrences and noticed they happened during peak traffic periods i suspected a race condition, so i created a stress test that simulated high concurrent traffic after reproducing the issue, i used thread dumps and distributed tracing to identify a transaction isolation level problem where two microservices were updating related data without proper coordination i implemented a solution using distributed locks and optimistic concurrency control i verified the fix with extensive load testing before deploying beyond fixing the immediate issue, i documented the problem pattern for the team and established new guidelines for handling distributed transactions we also added specific monitoring for similar conditions to catch any recurrence early " mediocre response "we had a bug where data wasn't being saved correctly in some cases i started by trying to reproduce the issue locally when that didn't work, i added more logging to the production system to gather more information after analyzing the logs, i found that the problem happened when two users tried to update the same record simultaneously i fixed it by adding a locking mechanism to prevent concurrent updates, tested it thoroughly, and deployed the fix " poor response "i had a bug that was causing occasional errors for users i checked the code around where the error was happening and added some defensive programming to handle the case that was causing problems i tested my fix with the specific scenario that was reported and it resolved the issue sometimes it's most efficient to address the symptoms directly rather than spending too much time tracking down the root cause, especially for rare issues " 16\ how do you balance quality and deadlines in your work? great response "i approach this balance strategically by first clarifying what 'must have' quality means for each project—typically including correctness, security, and performance under expected load i advocate for quality practices that actually save time, like automated testing and continuous integration for tight deadlines, i identify areas where we can make reasonable trade offs without compromising core quality, such as deferring non critical features or accepting limited technical debt with a clear plan to address it later i communicate transparently with stakeholders about trade offs and risks, presenting options rather than just problems i've found that breaking work into smaller increments helps deliver value continuously while maintaining quality when pressure mounts, i focus on risk management—identifying what could go wrong and mitigating the highest risks this balanced approach has helped me deliver reliable solutions on schedule while avoiding the long term costs of poor quality " mediocre response "i try to maintain a consistent level of quality while being mindful of deadlines i focus on thorough testing of critical features while being more pragmatic about less important areas if a deadline is approaching, i'll discuss with my manager whether we should adjust the scope or move the deadline i think it's important to be transparent about what can realistically be delivered with good quality in the given timeframe " poor response "meeting deadlines is usually the priority since that's what the business cares about most i focus on implementing the requirements and making sure the code works, even if it means taking some shortcuts in terms of design or test coverage we can always go back and improve the code quality later when there's less time pressure the most important thing is delivering working features on time " 17\ explain your experience with ci/cd and deployment automation great response "i've built comprehensive ci/cd pipelines that support our entire development workflow on the ci side, i've implemented multi stage pipelines that run unit and integration tests, static code analysis, security scanning, and performance tests i've configured branch policies that enforce code review and passing tests before merging for cd, i've implemented infrastructure as code using terraform to provision environments consistently, with environment specific configurations managed securely i've designed blue green deployment strategies to enable zero downtime updates, with automated canary testing and monitoring for early detection of issues the pipeline includes automated smoke tests after deployment and can automatically roll back if critical metrics are affected i've also implemented feature flags to separate deployment from release, allowing us to test features in production before enabling them for all users this comprehensive approach reduced our deployment time from days to minutes while improving reliability " mediocre response "i've worked with jenkins and github actions to automate our build and deployment process our pipeline runs tests automatically when code is pushed and builds docker images for our services we use separate environments for development, staging, and production, with automated deployments to dev and staging production deployments require manual approval this setup has helped us catch issues earlier and make deployments more consistent " poor response "i've used ci/cd tools like jenkins for automating builds and running tests our deployments follow a pretty standard process where the build artifacts get deployed to different environments i think automation is useful, but i've found that having some manual steps in the deployment process can actually be good for catching issues before they reach production i prefer to have a human verify critical deployments rather than fully automating everything " 18\ how do you stay organized when working on multiple tasks or projects? great response "i use a multi layered system to manage work across different time horizons i maintain a personal kanban board to visualize all my tasks and their status at the start of each week, i review upcoming deadlines and commitments, then break down larger tasks into smaller, actionable items with clear completion criteria i use time blocking in my calendar, allocating focused work periods for complex tasks when i have peak energy and grouping similar activities to minimize context switching for development work, i maintain separate branches for different features to keep work isolated i document decisions and progress in a structured way so i can quickly resume work after interruptions i also schedule regular reviews of my system to identify improvement opportunities this approach helps me maintain productivity while remaining flexible enough to handle unexpected urgent issues " mediocre response "i keep track of my tasks using our project management tool and prioritize based on deadlines and importance i try to group similar tasks together to minimize context switching i maintain a to do list for each day and update it as priorities change for development work, i keep my branches organized and make regular commits with descriptive messages to track my progress " poor response "i focus on the most urgent tasks first and work through my backlog as time allows i rely on our project management system and my manager to tell me what needs immediate attention i think being flexible is more important than rigid organization since priorities often change when multiple projects are competing for attention, i just put more hours in to make sure everything gets done " 19\ how do you handle changing requirements during development? great response "i approach changing requirements as an expected part of software development rather than an exception i build flexibility into my planning by using techniques like story slicing to deliver incremental value when requirements change, i first evaluate the impact on the current sprint, architecture, and timeline i discuss trade offs with stakeholders, presenting options rather than just challenges i maintain a modular code structure that accommodates change more easily, following solid principles to minimize ripple effects for significant changes, i adjust tests first to document the new expectations before modifying implementation i've learned to distinguish between genuine requirements evolution and scope creep, addressing the latter through constructive conversations about priorities and resources throughout the process, i keep the team informed about changes and their implications this balanced approach has helped me deliver value even in highly dynamic environments " mediocre response "i try to be flexible when requirements change i evaluate how the changes impact the current work and timeline, then discuss with the team and stakeholders about adjusting priorities or deadlines if needed i update our documentation and task tracking to reflect the new requirements while changes can be disruptive, i understand that they're often necessary to meet business needs " poor response "i implement the changes as requested, though i prefer when requirements are stable changing direction mid development can be inefficient, but i understand it happens if the changes are substantial, i might need to request additional time or resources i think it's important for stakeholders to understand that frequent requirement changes can impact quality and timelines, so i make sure they're aware of these trade offs " 20\ how do you approach learning from failures or mistakes in your development work? great response "i view failures as invaluable learning opportunities when mistakes occur, i conduct a blameless post mortem to understand root causes rather than stopping at symptoms i analyze both technical factors and process issues, looking for systemic improvements rather than quick fixes i document lessons learned in an accessible format for the team, turning personal mistakes into organizational knowledge for significant failures, i create automated checks or guidelines to prevent recurrence i regularly review past incidents to identify patterns and preemptively address similar risks in new work i foster psychological safety on my team by openly discussing my own mistakes and what i learned from them this approach has transformed several major failures into substantial improvements to our architecture and processes for example, after a production data issue, we implemented data validation pipelines that have prevented numerous potential problems since " mediocre response "when i make a mistake, i take time to understand what went wrong and how to fix it i try not to repeat the same errors by updating my approach based on what i've learned i discuss significant issues with my team so we can all learn from them i think being open about mistakes helps create a culture where we can improve together rather than hiding problems " poor response "i fix the immediate issue quickly to minimize impact, then move on to the next task every developer makes mistakes, so i try not to dwell on them too much if the same problem keeps happening, i'll look for ways to prevent it, but otherwise i focus on being productive rather than analyzing past issues extensively the important thing is to resolve problems quickly when they occur "