Zilliant is a leading provider of predictive sales analytics and optimization solutions, empowering companies to make informed and profitable business decisions. The company leverages artificial intelligence and machine learning to transform sales strategies and drive growth across diverse industries.

The Software Engineer position at Zilliant offers an exciting opportunity to work on cutting-edge technologies, including data science and cloud computing, playing a crucial role in developing innovative solutions that enhance sales and operational effectiveness. This role demands proficiency in programming, problem-solving, and collaboration skills, providing a platform to contribute to impactful projects.

Ready to dive into the journey of becoming a part of Zilliant’s dynamic team? This guide will walk you through the interview process, common Software Engineer interview questions, and deliver actionable insights on preparing effectively for your interview. Let’s get started!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Zilliant as a Software Engineer. Whether you were contacted by a Zilliant recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Zilliant Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the Zilliant Software Engineer hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Zilliant Software Engineer role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around data structures, algorithms, and system design.

In some cases, take-home assignments focusing on coding challenges and problem-solving using specific programming languages may be included. Your proficiency in software development best practices, debugging, and coding efficiency is also assessed during the round.

Depending on the role's seniority, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the Zilliant office. Your technical prowess, including programming capabilities, understanding of design patterns, and system architecture, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Software Engineer role at Zilliant.

Quick Tips For Zilliant Software Engineer Interviews

You should plan to brush up on any technical skills and try as many practice interview questions and mock interviews as possible. A few tips for acing your Zilliant interview include:

• Understand Zilliant's Products: Questions often relate to how software can enhance Zilliant's existing solutions. Study Zilliant’s product suite and think about how you would improve or test these solutions.
• Be Technically Sound: The interview process is heavily focused on technical skills. Ensure you are proficient in algorithms and data structures and are comfortable with coding in languages relevant to the job.
• Adaptability and Problem-Solving: Zilliant values innovative problem-solving. Practice responding to technical scenarios that require quick thinking and adaptability.

Typically, interviews at Zilliant vary by role and team, but commonly Software Engineer interviews follow a fairly standardized process across these question topics.

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Write a function to merge two sorted lists into one sorted list. Given two sorted lists, write a function to merge them into one sorted list. Bonus: What's the time complexity?

• Create a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of \(O(n)\) required.

• Develop a function precision_recall to calculate precision and recall metrics from a 2-D matrix. Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).

• Write a function to search for a target value in a rotated sorted array. Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand. You are given a target value to search. If the value is in the array, then return its index; otherwise, return -1. Bonus: Your algorithm's runtime complexity should be in the order of \(O(\log n)\).

• Would you suspect anything unusual about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Would you consider this result suspicious or indicative of any issues?

• How would you set up an A/B test for button color and position changes? A team wants to A/B test changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you design this test?

• What steps would you take if friend requests on Facebook are down 10%? A product manager at Facebook reports a 10% decrease in friend requests. What actions would you take to investigate and address this issue?

• Why might job applications be decreasing despite stable job postings? You observe that the number of job postings per day has remained constant, but the number of applicants has been steadily decreasing. What could be causing this trend?

• What are the drawbacks and solutions for the given student test score datasets? You have data on student test scores in two different layouts. What are the drawbacks of these formats, what changes would you make for better analysis, and what common issues are seen in "messy" datasets?

• Is this a fair coin based on 10 flips resulting in 8 tails and 2 heads? You flipped a coin 10 times, resulting in 8 tails and 2 heads. Determine if the coin is fair based on this outcome.

• How do you write a function to calculate sample variance for a list of integers? Write a function that calculates the sample variance for a given list of integers. Round the result to 2 decimal places. Example input: test_list = [6, 7, 3, 9, 10, 15]. Example output: get_variance(test_list) -> 13.89.

• Is there anything suspicious about an A/B test with 20 variants where one is significant? Your manager ran an A/B test with 20 different variants and found one significant result. Evaluate if there is anything suspicious about these results.

• How do you find the median of a sorted list where over 50% of the list is the same integer in O(1) time and space? Given a sorted list of integers where more than 50% of the list is the same repeating integer, write a function to return the median value in (O(1)) computational time and space. Example input: li = [1,2,2]. Example output: median(li) -> 2.

• What are the drawbacks of the given student test score data layouts, and how would you reformat them for better analysis? You have data on student test scores in two different layouts. Identify the drawbacks of these layouts, suggest formatting changes to make the data more useful for analysis, and describe common problems seen in "messy" datasets. Refer to the provided image of the datasets.

• How would you evaluate the suitability and performance of a decision tree model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will repay a personal loan. How would you evaluate whether a decision tree is the correct model for this problem? If you proceed with the decision tree, how would you evaluate its performance before and after deployment?

• How does random forest generate the forest and why use it over logistic regression? Explain the process by which a random forest generates its forest. Additionally, discuss why one might choose random forest over other algorithms such as logistic regression.

• When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms. In which scenarios would you use a bagging algorithm versus a boosting algorithm? Provide examples of the tradeoffs between the two.

• How would you justify using a neural network model and explain its predictions to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of this model and explain its predictions to non-technical stakeholders?

• What metrics would you use to track the accuracy and validity of a spam classifier? You are tasked with building a spam classifier for emails and have completed a V1 of the model. What metrics would you use to track the accuracy and validity of the model?

What is the average salary for a Software Engineer at Zilliant?

Q: What is the interview process at Zilliant like? The interview process at Zilliant typically includes an initial recruiter call, followed by one or more technical interviews, and possibly an onsite interview. The process evaluates your technical knowledge, coding skills, and cultural fit with the company.

Q: What are some common interview questions at Zilliant? Common interview questions at Zilliant encompass a mix of behavioral and technical queries, ranging from your experience in handling software projects to specific coding challenges. You might also be asked to demonstrate problem-solving skills using algorithms and data structures.

Q: What skills are required to work at Zilliant? You should have strong technical skills, including proficiency in programming languages, software development methodologies, and problem-solving capabilities. Experience in dealing with data-driven solutions and an understanding of Zilliant's products and services is a plus.

Q: What is the company culture like at Zilliant? Zilliant values innovation, collaboration, and dedication to customer success. The company fosters a supportive environment where continuous learning and development are encouraged, promoting a healthy work-life balance.

Q: How can I prepare for an interview at Zilliant? Preparing for an interview at Zilliant includes researching the company, practicing common interview questions using Interview Query, and honing your technical skills. Be ready to discuss your past experiences, technical projects, and how they align with Zilliant's mission and values.

Embarking on a journey with Zilliant as a Software Engineer promises to be both challenging and rewarding. From the collaborative culture to the innovative projects, this is an opportunity to grow and excel. If you want more insights about the company, check out our main Zilliant Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about Zilliant’s interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every Zilliant interview question and challenge.

You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!