Senior Systems Reliability Engineer I

Job Description

About The Role

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. We are seeking a Site Reliability Engineer who excels at providing technical support for our end users , incident management and resolution, and cloud operations within a customer-centric environment.

Role Overview

We are seeking a Site Reliability Engineer (SRE) with a strong focus on customer-facing technical support. In this role, you will be the primary point of contact for our enterprise SaaS customers, addressing and resolving technical issues to ensure optimal system performance and user satisfaction. Your responsibilities will encompass managing incoming support tickets, providing timely solutions, and maintaining high system uptime and application availability. This position requires a deep understanding of systems engineering principles, extensive Linux system administration expertise, and the ability to monitor and manage large-scale cloud clusters. Your technical acumen, combined with excellent communication skills, will be crucial in delivering a superior support experience and contributing to the reliability and efficiency of our SaaS platform.

What You&aposll Do

- Technical & Product Support:

- Serve as the first line of support for customer-reported technical issues related to our SaaS platform.
- This involves data connectivity issues, report errors, performance concerns, access problems, data inconsistencies, software bugs, integration challenges etec
- Understand and empathize with the challenges ThoughtSpot users face, offering tailored solutions to improve their user experience.
- Ensure prompt and accurate updates, meet SLAs and provide timely resolution to customer issues via tickets and calls
- Create knowledge-base articles to document knowledge and help customers self service.

- System Reliability & Monitoring:

- Maintain, monitor, and troubleshoot ThoughtSpot cloud infrastructure.
- Monitor system health and performance through metrics, logs, and dashboards using tools like Prometheus, Grafana, to detect and prevent issues early
- Work with Engineering teams to define, and implement tools to enhance debuggability, supportability, availability, scalability, and performance.
- Be an expert in cloud and on-premise infrastructure by developing automation and best practices.
- Participate in on-call rotation for critical SRE systems, lead the incident review and root cause analysis.

What You&aposll Bring

- B.S. degree in Computer Science or relevant industry experience.
- Exceptional communication skills, both written and verbal, to effectively engage with cross-functional teams, customers, and stakeholders.
- Relevant work experience troubleshooting complex Linux Systems and managing distributed systems
- Experience in virtualization and Cloud technologies
- Experience in enterprise customer support, on-call rotation for critical SRE systems, leading incident review and root cause analysis.
- Ability to diagnose technical problems and work with Engineering on escalated issues.
- Strong problem solving skills, algorithmic thinking and a strong foundation in how systems should work.
- Understanding of tools & frameworks required to Operate and manage Cloud infrastructure.
- Strong customer service skills.
- Solid communication skills and ability to work independently.
- Ability to leverage automation, monitoring and data analysis to ensure high availability.
- Familiarity with scripting languages such as Python, JavaScript or Bash
- Exposure to infrastructure and service monitoring tools.

Ideal Candidate Profile:

- You thrive in dynamic, customer-facing environments and are passionate about ensuring system reliability and customer satisfaction.
- You have a balanced mix of technical expertise in cloud operations and a proven record in handling support incidents and end-user queries, setting you apart from candidates with purely systems or cloud engineering backgrounds.
- What We Offer:
- Competitive salary and benefits package.
- Opportunities for professional growth and career advancement.
- A collaborative work environment where your input and expertise directly impact our customer experience.
- If youre ready to leverage your technical skills in a role that directly influences customer success and BI user satisfaction, wed love to hear from you.

What makes ThoughtSpot a great place to work

ThoughtSpot is the experience layer of the modern data stack, leading the industry with our AI-powered analytics and natural language search. We hire people with unique identities, backgrounds, and perspectivesthis balance-for-the-better philosophy is key to our success. When paired with our culture of Selfless Excellence and our drive for continuous improvement (2% done), ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If youre excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role thats right for you.

ThoughtSpot for All

Building a diverse and inclusive team isn&apost just the right thing to do for our people, it&aposs the right thing to do for our business. We know we cant solve complex data problems with a single perspective. It takes many voices, experiences, and areas of expertise to deliver the innovative solutions our customers need. At ThoughtSpot, we continually celebrate the diverse communities that individuals cultivate to empower every Spotter to bring their whole authentic self to work. Were committed to being real and continuously learning when it comes to equality, equity, and creating space for underrepresented groups to thrive. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.

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