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Come join a Fintech Systems Engineering and Operational Excellence team at Intuit! We're looking for a passionate hands-on Staff App Ops Engineer to lead operational excellence and site reliability to deliver the always-on Fintech platform to deliver money benefits for our global Intuit customers.

You'll join a company fully focused on serving our customers to help them thrive in their business. As a member of our engineering team, you will tackle technical problems and implement creative solutions to delight our users in ways they have not imagined.

You will be empowered to grow and expand your skills and scope of responsibilities. Our engineers are well supported in their professional progression through regular feedback, mentoring from senior team members and technical training opportunities.

Responsibilities

Own 'always-on' reliability at scale - drive operational excellence for distributed systems operating on AWS Cloud serving millions of small business customers with 5-9's of availability. 

Architect cloud-native data systems - design highly available, secure, performant infrastructure at multi-million-user scale.

Build the future of AIOps - design and ship AI-powered tools that auto-detect, triage, and remediate issues, multiplying your team's impact.

Lead incident response and Production Support - Part of on-call rotation to lead Production Operations in engaging incidents, and resolve production issues 

Resliency practices- Champion and innovate resiliency best practices to validate FMEA, chaos engineering practices and disaster recovery runbooks.

Observability - Elevate the Operational Excellence with best-in class monitoring and resolution techniques to reduce MTTD/MTTR.

Automate relentlessly -Reduce developer toil with automating manual steps in the standard operating procedures

Drive complex, cross-team initiatives - sequence dependencies, manage risk, and deliver ambitious programs end to end.

Influence beyond your team - partner with platform and leadership to remove organizational blockers and accelerate paved-road adoption ( Intuit wide standards)

Shape engineering culture - Take active participation in RCA's, contributing to best practices, and do not hesitate to debate on technology choices. 

Qualifications

8+ years of hands-on development and operational experience building and maintaining infrastructure in AWS, with deep expertise in at least one SRE discipline (automation, monitoring, DevOps, or cloud operations).

Deep AWS and Kubernetes expertise, including hosting on cloud, high-availability architectures, DR strategies, and hands-on knowledge of Docker, Kubernetes, and ArgoCD.

Proficiency in a modern programming/scripting language - Go, Java, Python, or Ruby - for both application development and DevOps automation.

Extensive observability and performance experience - monitoring, troubleshooting, and tuning using tools like Splunk, Wavefront, AppDynamics, Prometheus, or distributed tracing.

Strong grasp of SSDLC and CI/CD pipelines, with the judgment to build and evolve them safely at scale.

Proven technical leadership with data-backed evidence of impact and a track record of driving initiatives independently.

Bias for action - takes initiative, unblocks themselves, and delivers work incrementally to gather feedback and iterate.

Sharp production diagnostic skills - a passion for and demonstrated ability to resolve both pre-production and production issues under pressure.

A strong collaborator - communicates clearly, takes feedback constructively, and is willing to do unglamorous work when it's what the team needs.

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.