Senior Systems Reliability Engineer

Mode Analytics
Mountain View, CA$103k–$184kPosted Jun 30, 2026
Skip to main content Senior Systems Reliability Engineer ThoughtSpot Mountain View, CA Apply Senior Systems Reliability Engineer ThoughtSpot Mountain View, CA 3 weeks ago Over 200 applicants See who ThoughtSpot has hired for this role Apply Save Report this job Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. ThoughtSpot provided pay range This range is provided by ThoughtSpot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $103,000.00/yr - $184,000.00/yr Direct message the job poster from ThoughtSpot Vaishnavi Gudimani Vaishnavi Gudimani Talent Spotter at ThoughtSpot. Systems Reliability Engineer (Technical Support):About Us:ThoughtSpot is an AI-powered analytics platform that enables users to explore and analyze data through natural language queries, making insights accessible to all. Our mission is to deliver reliable, high-performing applications that empower our customers.The Role:As part of the ThoughtSpot SRE team, you will be on the cutting edge of operational intelligence. You will not only ensure service reliability but also act as a trusted partner for our customers — proactively leveraging AI/ML to deliver timely updates, meaningful solutions, and predictive improvements. You are the bridge between our customers and engineering, combining deep systems expertise with a...

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