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Sr Splunk Engineer Jobs in California (NOW HIRING)

Senior Backend Engineer

San Francisco, CA · On-site

$200K - $260K/yr

  • Medical

  • Dental

  • Vision

Senior Backend Engineer LiteLLM is the world's most popular AI Gateway, trusted by top companies ... Work with observability integrations, including Datadog, Splunk, Prometheus, and OpenTelemetry, to ...

Sr. Software Engineer

Los Angeles, CA

$132K - $174K/yr

... Splunk Cloud Exposure to OS/package management, including RHEL7 to EL8/9 shifts and yinst to RPM ... Experience mentoring IC3-level engineers to reduce single points of failure (SPOFs) Qualifications ...

Sr. Software Engineer

Los Angeles, CA · On-site +1

$132K - $174K/yr

... Splunk Cloud Exposure to OS/package management, including RHEL7 to EL8/9 shifts and yinst to RPM ... Experience mentoring IC3-level engineers to reduce single points of failure (SPOFs) Qualifications ...

The Senior UC Engineer will be part of Global Unified Communications Engineering team, supporting ... Monitor UC platform health using observability and logging tools (Splunk). * Manage and analyze ...

The Senior UC Engineer will be part of Global Unified Communications Engineering team, supporting ... Monitor UC platform health using observability and logging tools (Splunk). * Manage and analyze ...

The Senior UC Engineer will be part of Global Unified Communications Engineering team, supporting ... Monitor UC platform health using observability and logging tools (Splunk). * Manage and analyze ...

Senior Build Engineer

Santa Cruz, CA · On-site

$120K - $165K/yr

They are seeking a Senior Build Engineer to join their DevOps team, focusing on optimizing the ... Splunk • Expertise with Continuous Integration platforms such as TeamCity, GitHub Actions, or ...

Showing results 21-40

Sr Splunk Engineer information

What is the difference between Sr Splunk Engineer vs Splunk Developer?

AspectSr Splunk EngineerSplunk Developer
Required CredentialsSplunk certifications, technical degreesSplunk certifications, coding skills
Work EnvironmentIT operations, security teamsDevelopment teams, data analysis
Employer & Industry UsageLarge enterprises, security, IT opsTech firms, data analytics projects

The main difference is that a Sr Splunk Engineer focuses on deploying, managing, and maintaining Splunk infrastructure, while a Splunk Developer primarily designs and develops Splunk apps and dashboards. Both roles require Splunk certifications and technical expertise, but their daily tasks and focus areas differ based on operational versus development responsibilities.

What are popular job titles related to Sr Splunk Engineer jobs in California?

For Sr Splunk Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Sr Splunk Engineer jobs in California look for?

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Infographic showing various Sr Splunk Engineer job openings in California as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Senior Backend Engineer

LiteLLM AI Gateway

San Francisco, CA • On-site

$200K - $260K/yr

Full-time

Medical, Dental, Vision

Re-posted 15 days ago


Job description

Senior Backend Engineer
LiteLLM is the world's most popular AI Gateway, trusted by top companies like Adobe, Netflix, and NASA. Our platform empowers developers by providing secure, reliable access to LLMs and adjacent services, and we're looking for a Senior Backend Engineer to help us build rock-solid guardrails and observability tooling at scale.
About The Role
You'll focus on owning our guardrails and logging world-class. You will be in charge of the backend code that ensures all guardrail calls are consistently logged, errors are surfaced to users (not silently swallowed), and our observability instrumentation works for real-world, high-volume traffic. Your attention to detail in areas like latency metrics, logging traceability, and backend guardrail registration will directly impact user trust in our security and compliance features.
Responsibilities
  • Build and scale our product, ensuring performance, reliability, and continuous improvement.
  • Ensure all guardrail and policy enforcement calls (e.g., applyguardrail) are properly logged and traceable through our SpendLogs and relevant database tables
  • Build and design CPU-level guardrails to cover common attacks on LLM API's / MCP servers / Agents
  • Identify and fix areas where silent failures occur in guardrail creation, registration, and policy application-ensuring robust error handling and transparency to end users
  • Work with observability integrations, including Datadog, Splunk, Prometheus, and OpenTelemetry, to maintain accurate, configurable, and usable monitoring and logging for backend systems
  • Enhance observability integrations to work for 1B+ requests/mo., with minimal latency overhead and no memory leaks (e.g. due to cardinality of Prometheus metrics)
  • Collaborate cross-functionally on backend engineering priorities (performance, reliability, security)

What We're Looking For
  • Bachelor's or Master's in Computer Science or related field
  • 1+ years of experience with Python and backend frameworks (e.g. FastAPI, Flask)
  • Understanding of logging best practices, error handling, and secure backend development
  • Exposure to monitoring, logging, or metrics platforms (Datadog, Splunk, Prometheus, OpenTelemetry)
  • Familiarity with database integration and troubleshooting (PostgreSQL, Redis, etc.)
  • Driven to deliver high-quality backend code with strong guardrails, auditing, and debugging capabilities
  • Eagerness to tackle hard bugs and ensure system transparency for end users

Why Join LiteLLM?
  • High-impact, mission-critical work on the core of compliance and reliability
  • Contribute directly to features used by enterprise customers at global scale
  • Fast-paced growth environment with room for technical ownership
  • Competitive salary, health, dental, and vision benefits

About LiteLLM
LiteLLM (https://github.com/BerriAI/litellm) is a Python SDK and Proxy Server enabling seamless calls to 100+ LLM APIs in the OpenAI format, trusted by industry leaders worldwide.
Ready to shape the future of secure, observable AI infrastructure? Apply now!