Systems Analyst - IV

As a Systems Analyst – IV, your primary responsibilities will include managing and enhancing our logging solutions using technologies such as Logstash, Kafka, and FluentD. You will troubleshoot issues related to these systems in our production environment, coordinate logging standards across multiple teams, and analyze log events for security-related patterns. Your work will directly support our applications and ensure efficient data flow and distribution.

To qualify for the Systems Analyst – IV position, you should possess a Bachelor's Degree in Computer Science or a related field. Moreover, you should have 6-10 years of JAVE experience, along with at least 3 years of working with Linux OS. Hands-on experience with message brokers like Kafka or similar technologies is essential, as is familiarity with ELK Stack and centralized logging solutions.

A Systems Analyst – IV should have a strong background in tools and technologies like Logstash, Kafka, FluentD/FluentBit, and Splunk. Proficiency with ELK or similar logging libraries, knowledge of container systems like Kubernetes, and experience in log shipping are crucial. Additionally, familiarity with analytical tools such as Elastic Search will enhance your effectiveness in this role.

Essential skills for a Systems Analyst – IV include strong troubleshooting abilities, expertise in centralized logging and event monitoring, and proficiency in Java and Linux server environments. Furthermore, the ability to communicate effectively between multiple teams—both domestic and offshore—is key to ensuring standards are met and problems are resolved efficiently.

Yes, experience with secure coding practices, specifically knowledge of OWASP guidelines, is highly desirable for the Systems Analyst – IV role. Understanding how to analyze logging data for security threats and anomalies is crucial in maintaining the integrity of our systems and protecting sensitive information.

In your response, highlight specific projects where you implemented Logstash for centralized logging. Discuss challenges you faced, how you tackled them, and the benefits realized from using it, such as improved data analysis and security monitoring.

Detail a systematic approach, perhaps mentioning certain tools or methods you deploy to diagnose issues. Emphasize your ability to remain calm under pressure and provide an example of a complex issue you've successfully resolved.

Be sure to outline projects where you effectively used Kafka, discussing how it helped manage data distribution. Highlight your understanding of message brokers and how they contribute to scalable architecture.

Discuss your experience working with diverse teams, focusing on communication strategies and tools you use to ensure everyone adheres to established logging standards. Provide an example if possible.

Share specific techniques or tools you utilize for log analysis, such as using Elastic Search or Splunk. Talk about how these analyses have contributed to identifying security risks or optimizing system performance.

Provide an example that demonstrates your adaptability. Emphasize the steps you took to familiarize yourself with the technology, how you applied it effectively, and the results achieved.

Discuss your strategies for effective communication in a distributed work environment. Talk about time management, using project management tools, and how you facilitate clear expectations and follow-ups.

Share your hands-on experience with containerization technologies, outlining how you've implemented these solutions in past projects, and any specific challenges you've overcome with them.

Discuss the relevance of OWASP practices in ensuring secure coding and logging. Provide insights into how you implement these practices in your projects and why they matter for system integrity.

Share your understanding of relevant statistical theories, how you apply them in analyzing system performance, and how they can enhance predictions and anomaly detection in logging data.