Splunk Solutions Engineer

Your Impact

Establish and proactively maintain positive relationships with clients and partners. Collaborate closely with account teams to align with sales strategies, providing support through briefings, demos, proposals, Proof of Values (POVs), integrations and issue resolution for Splunk’s observability portfolio. Engage directly with customers to understand their IT challenges and business objectives, mapping these to Splunk product capabilities. Demonstrate Splunk’s observability products and services onsite, remotely via webinars, and at field events such as conferences and trade shows.

Apply organized and analytical approaches to overcome sales obstacles creatively and adaptively. Contribute to a dynamic technical organization with a rapidly growing customer base.

• Proven experience in technical sales, pre-sales or solution engineering within Enterprise Software, ITOps, Cybersecurity or Financial Services sectors.
• Demonstrated ability to deliver technical product demonstrations to customers in person, via webinars or at industry events.
• Prior experience with Splunk, App Dynamics or equivalent APM technology stack, alongside data platforms such as Splunk Cloud Enterprise.
• Hands‑on experience conducting proof of value engagements leveraging observability tools including Splunk App Dynamics for application performance, hybrid monitoring and digital resilience.
• Experience working with financial sector clients, understanding their regulatory, security and operational requirements.

• Experience with modern application architectures (Kubernetes, Docker, or serverless technologies).
• Knowledge of digital experience monitoring—including synthetics and real‑user monitoring tools.
• Splunk App Dynamics Observability Cloud certifications are a plus.
• Familiarity with Splunk Observability Cloud, App Dynamics or equivalent platform architecture, deployment, configuration and troubleshooting, including setting up baselines, health rules and proactive monitoring strategies.
• Proficiency in modern programming languages such as Python, Java or Go.
• Knowledge of AI tools and concepts, including LLMs, GenAI frameworks or Time Series models relevant to observability and security analytics.
• Knowledge of security operation standards and frameworks.
• Attainment of Splunk Enterprise Security Admin certification or other cybersecurity industry certifications (e.g., CISSP, SANS Cybersecurity) is highly desirable.
• Understanding of digital resilience strategies and how observability and security solutions integrate to support business continuity in financial services.