Splunk Engineer - Consultant Certified/Heavy ES Experience Required (R-00028)

As a Splunk Engineer at True Zero Technologies, your key responsibilities include maintaining various clients' Splunk instances, focusing heavily on data onboarding, content development, reporting, and creating visualizations. You'll work collaboratively with your team to implement actionable alerts and workflows, develop risk and incident rules, and assist in training others on Splunk functionalities.

To qualify for the Splunk Engineer position at True Zero Technologies, candidates must have prior experience in Splunk engineering and administration, a Consultant certification, and substantial knowledge in Enterprise Security. Additional experience supporting federal customers is advantageous, and familiarity with creating dashboards, reports, and managing data lifecycles is essential.

True Zero Technologies equips Splunk Engineers with access to a comprehensive knowledge base and technical backing from the Professional Services team. You'll benefit from an internal Slack channel for communication, training tools, and resources that promote skill development and efficiency in workflows.

At True Zero Technologies, we prioritize the professional growth of our Splunk Engineers by offering investment in training and certifications. Additionally, we encourage contributions through white papers, blogs, and internal webinars, fostering an environment of information-sharing and continuous learning.

Splunk Engineers at True Zero Technologies enjoy an attractive benefits package that includes a competitive salary, 100% coverage of medical premiums, 3 weeks of PTO starting out, 11 paid holidays, a 401k program with company match, and allowances for cell phone and home internet. We also provide paid maternity/paternity leave and opportunities for career advancement.

When asked about your approach to data onboarding in Splunk, explain your methodical process. Discuss how you assess data sources, ensure proper indexing, and utilize best practices for data ingestion to maintain the integrity and security of data. Mention any specific tools or techniques you prefer.

In response to this query, highlight your understanding of risk-based alerting and your experience in creating alerts that are both meaningful and actionable. Discuss how you determine thresholds, incorporate machine learning models, and continuously refine alerts based on feedback and performance.

To answer this question effectively, provide a specific example of a dashboard you've created and its purpose. Detail the data visualizations used, how the dashboard improved decision-making for stakeholders, and any user feedback that illustrates its impact.

Discuss your collaborative approach, including how you engage with team members and stakeholders through meetings, workshops, and shared platforms like Slack. Emphasize your communication skills and how you adapt to different working styles to achieve a common goal.

Answer by outlining your practices for securing Splunk instances, such as configuring user roles and permissions, enabling SSL, conducting regular audits, and implementing data retention policies. Highlight any experience you have with compliance frameworks.

When asked about Splunk Enterprise Security (ES), elaborate on your hands-on experience and knowledge of its core components such as incident management, risk-based alerting, and security posture metrics. Illustrate your understanding by linking it to previous roles or projects.

In your response, describe your commitment to mentorship and training. Offer examples of how you’ve facilitated learning through workshops, one-on-one sessions, or shared resources, promoting a culture of knowledge-sharing among team members.

Explain your strategies for configuration management, including version control practices, robust documentation, and using scripts for deployment. Discuss how these methods contribute to smoother operations and minimize potential errors.

To address this question, share your insights into the machine learning toolkit available in Splunk. Discuss the steps you take from data preparation to model training and how you validate the model, ensuring it provides meaningful insights while reducing false positives.

Articulate your experiences with tools like Splunk Monitoring Console, the Distributed Management Console, and third-party solutions you’ve employed. Emphasize how you leverage these tools to analyze performance metrics, troubleshoot issues, and implement optimizations effectively.