Splunk Solutions Engineer

Job Description Roles & Responsibilities 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.br> Minimum Qualifications 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, AppDynamics, or equivalent APM (Application Performance Monitoring) technology stack, alongside data platforms such as Splunk Cloud/Enterprise. Hands-on experience conducting proof of value engagements leveraging observability tools, including Splunk AppDynamics, for application performance, hybrid monitoring, and digital resilience. Experience working with financial sector clients, understanding their regulatory, security, and operational requirements.br> Preferred Qualifications Experience with modern application architectures including Kubernetes, Docker, or serverless technologies. Knowledge of digital experience monitoring, including synthetics and real-user monitoring tools. Splunk AppDynamics/Observability Cloud certifications are a plus. Familiarity with Splunk Observability Cloud, AppDynamics, 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. Desired Candidate Profile 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, AppDynamics, or equivalent APM (Application Performance Monitoring) technology stack, alongside data platforms such as Splunk Cloud/Enterprise. Hands-on experience conducting proof of value engagements leveraging observability tools, including Splunk AppDynamics, 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 including Kubernetes, Docker, or serverless technologies. Knowledge of digital experience monitoring, including synthetics and real-user monitoring tools. Splunk AppDynamics/Observability Cloud certifications are a plus. Familiarity with Splunk Observability Cloud, AppDynamics, 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. Company Industry IT - Hardware & Networking Department / Functional Area SalesBusiness Development Keywords Splunk Solutions Engineer Get real-time job updates only on our App