Study Purly

Company: Evergent Technologies

  • Security Analyst

    The security-related interview questions at Evergent Technologies were in-depth and focused on real-world application security challenges. The team’s attention to security testing, OWASP guidelines, and compliance standards like PCI-DSS stood out.
    Questions asked during the interview:

    1. How do you conduct security testing for subscription lifecycle management platforms?
    2. What are the key security risks associated with payment processing systems?
    3. Can you explain how you ensure GDPR compliance in cloud-based applications?
    4. How do you handle identity management using OAuth and SSO?
    5. What security measures do you implement to prevent common OWASP vulnerabilities?
    6. How do you monitor and respond to security incidents in a cloud environment?

  • Project Manager

    Evergent Technologies has a well-defined Agile environment, and the interview process reflected their strong emphasis on Scrum methodologies and project coordination. The team values leadership and time management, ensuring smooth project execution.
    Questions asked during the interview:

    1. How do you manage recurring billing projects in an Agile environment?
    2. Can you describe your experience with cross-functional team collaboration?
    3. How do you handle project risks related to payment gateway integrations?
    4. What tools do you use for project tracking and team management?
    5. How do you ensure compliance with regulatory standards like PCI-DSS and GDPR?
    6. What strategies do you use to prioritize tasks and meet project deadlines?

  • Data Analyst

    The interview process at Evergent Technologies was insightful and data-driven. The discussion revolved around customer analytics using tools like Tableau, Power BI, and SQL-based solutions such as Snowflake and Redshift. The team was very focused on actionable insights and revenue recovery.
    Questions asked during the interview:

    1. How do you leverage data analytics to improve subscription revenue recovery?
    2. What experience do you have with data visualization tools like Power BI and Tableau?
    3. How do you handle data pipelines using Hadoop and Spark?
    4. Can you explain the use of ELK Stack in analyzing system performance logs?
    5. How do you manage and analyze large datasets using Pandas and NumPy?
    6. What approaches do you take to ensure data integrity and security?

  • DevOps Engineer

    Interviewing at Evergent Technologies was a great experience. Their focus on cloud platforms such as AWS, Azure, and Google Cloud, along with infrastructure automation using Terraform, was impressive. The technical panel had a deep understanding of CI/CD pipelines and deployment strategies.
    Questions asked during the interview:

    1. How do you automate infrastructure provisioning using Terraform?
    2. Can you explain the key differences between Kubernetes and Docker Swarm?
    3. How do you monitor microservices using Prometheus and Grafana?
    4. What steps do you take to implement a secure CI/CD pipeline using Jenkins?
    5. How do you ensure compliance with GDPR and PCI-DSS in cloud deployments?
    6. What are your strategies for optimizing costs in cloud-based infrastructures?

  • Software Engineer

    The interview process at Evergent Technologies was well-structured and highly technical. The questions covered a broad range of technologies, from backend frameworks like Spring Boot and Django to frontend libraries such as React.js and Angular. I appreciated their focus on practical problem-solving and clean coding practices.
    Questions asked during the interview:

      1. How do you design a scalable subscription lifecycle management system?
      2. Can you explain the differences between RESTful APIs and GraphQL?
      3. What challenges have you faced while integrating payment gateways?
      4. How do you handle security concerns like OAuth, SSO, and JWT in web applications?
      5. What is your experience working with containerized applications using Docker and Kubernetes?
      6. How do you optimize database queries for NoSQL databases like MongoDB and Cassandra?