Vamstar is an innovative, data science-powered B2B healthcare marketplace that leverages Artificial Intelligence (AI) to help suppliers identify the most pertinent healthcare contracting leads. As a dynamic, VC-backed start-up, Vamstar prides itself on its cutting-edge approach and has earned multiple UK Research Grants in collaboration with prestigious universities.

In the role of a Software Engineer at Vamstar, you will thrive in a fast-paced environment, collaborating closely with cross-functional teams, including UI designers, business analysts, front-line teams, and development engineers, from conception to deployment. The ideal candidate should be skilled in backend development, database schema design, scaling issues, as well as proficient in technologies like Node, Serverless, AWS, SQL, and NoSQL. If you possess experience in building marketplace or exchange products, it will significantly set you apart.

Explore this guide on Interview Query to understand the interview process and prepare effectively for your interview journey with Vamstar.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Vamstar as a Software Engineer. Whether you were contacted by a Vamstar 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 Vamstar 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 Vamstar hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also engage 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 Vamstar Software Engineer role usually is conducted through virtual means, including video conference and screen sharing. Questions in this interview stage may revolve around systems design, algorithmic challenges, and your experience with technologies such as Node, Serverless, AWS, and database schema design.

Depending on the seniority of the position, you might also face take-home assignments or technical discussions regarding backend development, database schema design, and performance scaling issues. Additionally, your frontend skills with React, CSS, and web performance optimization may be assessed if applying for a frontend role.

Onsite Interview Rounds

Following a second recruiter call to outline the next steps, 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 Vamstar office. Your technical prowess, including programming capabilities and architectural design skills, will be evaluated against other finalists 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 Vamstar.

Quick Tips For Vamstar Software Engineer Interviews

A few tips for acing your Vamstar interview include:

• Understand Vamstar's Product: Study Vamstar's marketplace and its use of AI in healthcare contracting. Understand how you would contribute to improving and scaling their product.
• Think Performance: Vamstar values performance optimization. Brush up on techniques to improve both backend build performance and frontend render performance.
• Show Versatility: Vamstar looks for engineers who can mentor junior developers and work across varying stages of product development. Highlight any experience you have in leadership and multi-functional team collaboration.

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

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain how to interpret the coefficients of logistic regression when dealing with categorical and boolean variables.

• How would you design a machine learning model to classify major health issues based on health features? You work as a machine learning engineer for a health insurance company. Design a model that classifies if an individual will undergo major health issues based on a set of health features.

• What metrics and statistical methods would you use to identify dishonest users in a sports tracking app? You work for a company with a sports app that tracks running, jogging, and cycling data. Formulate a method to identify users who might be cheating, such as driving a car while claiming to be on a bike ride. Specify the metrics and statistical methods you would analyze.

• Develop a function str_map to determine if a one-to-one correspondence exists between characters of two strings at the same positions. Given two strings, string1, and string2, write a function str_map to determine if there exists a one-to-one correspondence (bijection) between the characters of string1 and string2.

• Build a logistic regression model from scratch using gradient descent without an intercept term. Create a logistic regression model from scratch using basic gradient descent and the log-likelihood as the loss function. Do not include an intercept term or a penalty term. You may use numpy and pandas but not scikit-learn. Return the parameters of the regression.

• Why has the number of job applicants been decreasing despite stable job postings? You are analyzing a job board where job postings per day have remained constant, but the number of applicants has been steadily decreasing. What could be the reasons for this trend?

• What would you do if friend requests on Facebook are down 10%? A product manager at Facebook informs you that friend requests have decreased by 10%. What steps would you take to investigate and address this issue?

• How would you assess the validity of a .04 p-value in an AB test? Your company is running an AB test on a feature to increase landing page conversion rates, and the PM reports a p-value of .04. How would you evaluate the validity of this result?

• How would you analyze the performance of a new LinkedIn feature without an AB test? LinkedIn has launched a feature allowing candidates to message hiring managers directly during the interview process, but due to engineering constraints, it can't be AB tested. How would you analyze the feature's performance?

• Would you recommend a customer success manager or a free trial for Square's new product? You are in charge of Square's small business division. The CEO wants to hire a customer success manager for a new software product, while another executive suggests a free trial. What would be your recommendation?

• How would you build a fraud detection model using a dataset of 600,000 credit card transactions? Imagine you work at a major credit card company and are given a dataset of 600,000 credit card transactions. Describe your approach to building a fraud detection model.

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain how to interpret the coefficients of logistic regression when dealing with categorical and boolean variables.

• How would you tackle multicollinearity in multiple linear regression? Describe the methods you would use to address multicollinearity in a multiple linear regression model.

• How would you design a facial recognition system for employee clock-in and secure access? You work as an ML engineer for a large company that wants to implement a facial recognition system for employee clock-in, clock-out, and access to secure systems, including temporary contract consultants. How would you design this system?

• How would you handle data preparation for building a machine learning model using imbalanced data? Explain the steps you would take to prepare data for building a machine learning model when dealing with imbalanced data.

If you want more insights about the company, check out our main Vamstar 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 Vamstar’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 Vamstar software engineer 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!