Splunk Platform Engineering & SRE Architect

You will take ownership of a large-scale, mission-critical Splunk platform at the center of enterprise observability and cybersecurity. This role requires someone who can go deep into the stack: OS, network, ingestion pipelines, distributed systems, and resolve issues at their root, regardless of complexity. If you are the engineer that others call when systems fail in unpredictable ways, and you enjoy solving those problems, this role is built for you.

 

In this role, you’ll make an impact in the following ways:

• Own end-to-end engineering and operational accountability for the enterprise Splunk platform (SIEM), including architecture, capacity planning, ingestion, integrations, and lifecycle management
• Act as the highest technical escalation point, driving resolution of critical incidents across application, platforms, and infrastructure layers
• Troubleshoot and resolve deep, low-level technical issues, including:
  • Linux/Unix OS internals (CPU, memory, I/O, process behavior)
  • Network behavior, packet flow, and latency bottlenecks
  • Distributed system failures and data ingestion breakdowns
• Drive platform reliability, capacity, observability, and performance engineering, using modern monitoring stacks (Prometheus, Moog)
• Architect and scale high-throughput ingestion pipelines, integrating:
  • Syslog and event ingestion frameworks
  • Kubernetes / containerized platforms
  • Cloud and enterprise systems
• Own authentication, RBAC, and access control models, ensuring strong governance and compliance
• Design and implement automation and configuration management frameworks (Git, Ansible) to reduce operational toil
• Lead incident response, root cause analysis, and systemic fixes, embedding SRE principles (SLAs, SLOs, error budgets)
• Drive platform upgrades, resilience strategies, and disaster recovery readiness
• Evaluate and onboard emerging technologies, including AI/ML-driven analytics and contextual data platforms
• Create bespoke solutions for unsolved problems using languages like python, java or golang.
• Influence engineering direction across teams through technical leadership and expertise as an individual contributor
• Mentor and elevate engineers through hands-on guidance and technical depth

 

To be successful in this role, you bring:

• Deep, hands-on expertise in Splunk platform engineering and large-scale SIEM environments
•  Bachelor's degree in computer science or a related discipline, or equivalent work experience required, advanced degree preferred.
• 12+ years of experience in information security or related technology experience required, experience in the securities or financial services industry is a plus.
• Strong foundation in Site Reliability Engineering (SRE) and distributed systems
• Proven ability to debug and resolve complex issues across the full stack, from application to OS and network layers
• Expert knowledge of Linux/Unix systems, including performance tuning and low-level troubleshooting
• Strong understanding of networking fundamentals (TCP/IP, packet analysis, syslog pipelines, latency debugging)
• Experience building and operating high-volume data ingestion and processing systems
• Proficiency in Splunk SPL, and data analysis
• Strong programming/scripting skills (e.g., Python, Go, Java, or similar)
• Hands-on experience with DevOps and configuration management tools (Ansible, Git, etc.)
• Experience with Kubernetes and containerized environments
• Deep understanding of security models, RBAC, and enterprise controls
• Ability to operate independently in high-pressure situations and take full ownership of outcomes
• A mindset focused on automation, scalability, and eliminating operational friction
• Technical in depth and hands-on A.I. literacy as well as knowledge of MCP design