Staff Software Engineer (SRE) - Business Intelligence

Business Intelligence today spans a portfolio of Tier 1 and Tier 2 assets whose reliability, resiliency, and cost posture are owned ad hoc across individual app teams. We're hiring a dedicated SRE to be the single accountable owner for the health, availability, and operational excellence of these assets end-to-end — closing the gap between 'best effort' reliability and a proven, tested, continuously improving one. This role sits horizontally across all BI scrum teams, partners tightly with our DBA, and is expected to build the automation and self-serve tooling that reduces the manual toil currently driving our incidents.

Responsibilities

Reliability Ownership
• Serve as the single accountable owner for the health, availability, and completeness of all Tier 1/Tier 2 BI assets, replacing today's diffused, ad hoc ownership across app teams.
• Keep asset health and resiliency practices current as CI/CD evolves — progressive rollouts, canary deployments, and failure mode and effects analysis (FMEA).
• Partner closely with the DBA to ensure system health is covered end to end (app layer + data layer), not siloed.

Incident Readiness
• Design and run mock incidents / game days across BI assets to surface gaps proactively, before they become customer-facing.
• Own disaster recovery (DR) for every asset in the BI org: plan it, test it on a recurring cadence, and produce evidence it actually works (not theoretical DR).
• Build automation that removes manual, error-prone operational steps — the primary source of today's incidents and customer impact.

Engineering Excellence & Cost
• Own cloud resiliency, performance engineering, and security posture as a standing discipline across BI, not a side-of-desk responsibility for app teams.
• Establish and enforce operational and cost-optimization patterns across all assets (e.g., Splunk log volume/retention hygiene, right-sizing compute).
• Build reusable, self-serve libraries and tooling so individual teams stop re-solving the same reliability/ops problems independently.
• Track Intuit-wide platform and tooling initiatives (e.g., IKS, AIR) and drive horizontal adoption across BI so each team isn't independently absorbing migration cost.

Qualifications

Required
• 5+ years in an SRE, DevOps, or infrastructure/platform engineering role, ideally supporting data/BI or analytics platforms.
• Demonstrated ownership of production reliability for multiple services/assets — on-call, incident response, postmortems, and follow-through on remediation.
• Hands-on experience designing and executing disaster recovery plans (not just documenting them) — including recovery testing and validation.
• Experience with progressive delivery practices: canary deployments, blue/green rollouts, feature-flag-gated releases.
• Proficiency building automation/tooling (scripting or full software engineering) to eliminate manual operational toil.
• Working knowledge of cloud infrastructure cost management — right-sizing, log/data volume hygiene, resource tagging and chargeback.
• Experience with observability stacks (e.g., Splunk or equivalent) for both incident diagnosis and cost/volume management.
• Strong cross-team collaboration skills — this role influences without direct authority across multiple scrum teams and a DBA function.

Preferred
• Experience running game days / chaos engineering exercises.
• Familiarity with FMEA or similar systematic risk-assessment methodologies.
• Exposure to Intuit-specific platforms (IKS, AIR) or comparable enterprise Kubernetes/AI infra migrations.
• Security posture / cloud security engineering background.
• Experience building self-serve internal developer platforms or shared libraries consumed by multiple teams.

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.