Hiring: Staff App Ops Engineer Company: Intuit Location: Mountain View, CA Job Posted Time: 2026-09-13 10:45:02 Target Skills & Keywords : AWS, AppDynamics, ArgoCD, CI/CD, Docker, Java, Kubernetes, Prometheus, Python, Ruby, Splunk, Systems Engineering About the job Experience: •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). Required Skills: •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. Qualifications: •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. Compensation: •$202,500 - $274,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!