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Intuit is a leading software provider of business and financial management solutions for small and mid-sized businesses, consumers, financial institutions and accounting professionals. You probably know us by our flagship products, QuickBooks®, Quicken® and TurboTax®, but that's just the start. we’re taking on exciting challenges, such as SaaS and mobile applications. Over 50 million users, seven million small businesses and 1,600 financial institutions depend on Intuit because we innovate at the crossroads of real customer problems and breakthrough technology. Join us and let your ingenious ideas be heard.

Interested in creating and leading the platforms that are high scale and mission critical? Want to solve large scale and highly availability platform challenges for on premise and public cloud deployments?  Intuit is seeking Staff Software Engineer, who is characterized by progressive technical experience and has demonstrated progression in technical prowess, to join PDX Observability Engineering team.

The Staff Software Engineer will join the Core PDX Observability Engineering team at Intuit to design and deliver the next-generation logging and observability platform. This role focuses on creating and leading high-scale, mission-critical pipelines and solving large-scale, high-availability challenges across on-premise and public cloud (AWS, GCP) deployments. You will own the architecture and evolution of Intuit's One Logging system & Splunk Platform , spanning ingestion, routing, cost optimization, and MCP Server-driven automation, building platform capabilities that maximize velocity for thousands of Intuit developers.

Responsibilities

• Architect, design, and lead development of the O11y logging pipeline, including MCP Server, One Intuit Logging system, S3/Kinesis/CW Log Writers, Log Router, Fluent Bit DaemonSet, and OIL sidecar components
• Own end-to-end Splunk platform architecture , indexer/search-head scaling, cluster topology (SBG, IP), ingestion architecture, and search performance at high-availability, high-scale (multi-PB/day) levels
• Drive ingest-time cost optimization: field reduction, log-level filtering, sampling/aggregation, and routing of low-value data to cost-efficient storage (S3 + Federated Search)
• Lead automation revamp/rewrite initiatives to modernize legacy pipeline tooling, reduce manual operational overhead, and improve deployment reliability
• Define and enforce platform governance and guardrails for Knowledge Object creation (Splunk saved searches, dashboards) via Git-based CI/CD pipelines 
• Partner with SRE, platform, and BU teams to diagnose and resolve high-severity incidents related to logging pipeline and Splunk platform health
• Provide technical leadership and mentorship across the O11y engineering team; set architectural direction and coding/design standards
• Collaborate with leadership to translate cost-optimization and reliability roadmaps into engineering execution plans
• Evaluate and integrate emerging technologies (e.g., GCP Logs Processor) to extend platform capabilities beyond Splunk

Qualifications

• 8-10+ years of software engineering experience, with significant experience designing and operating large-scale distributed systems/platforms
• Bachelor's or Master's degree (BE/BTech/MS/MTech) in Computer Science, Engineering, or related field
• Deep, architect-level knowledge and hands-on experience with Splunk (indexing, search architecture, clustering, KO management, REST/API integrations)
• Strong experience building and operating splunk enterprise platform. 
• Proven track record leading platform cost-optimization initiatives at multi-petabyte/multi-million-dollar infrastructure scale
• Experience with public cloud (AWS preferred) and on-premise hybrid deployments
• Strong systems programming background (Java, Go, Python, or similar) and infrastructure-as-code / CI/CD practices
• Experience driving automation and legacy system modernization efforts
• Excellent cross-functional communication and technical leadership skills; ability to influence without direct authority
• Prior experience in observability, SRE, or platform engineering roles strongly preferred

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: 

Bay Area, CA: $202,500 - $274,000

Southern CA: $188,500 - $255,000

Employment Type: Full-Time