Senior Systems Reliability Engineer II

Posted 5 Days Ago
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Bangalore, Bengaluru Urban, Karnataka
In-Office
Senior level
Cloud • Analytics
We are AI-Powered Analytics company that lets everyone create personalized insights to drive decisions and take action.
The Role
The role focuses on ensuring system reliability and performance, managing incidents, and providing technical support within a customer-focused environment while collaborating with various teams.
Summary Generated by Built In

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 Systems Reliability Engineer who excels at providing technical support for our customers , incident management and resolution, and cloud operations within a customer-centric environment.Role Overview:We are seeking an experienced and highly motivated Senior systems Reliability Engineer II (SRE) to join our growing team. This is a customer-facing leadership role that requires a unique combination of technical expertise, strong communication skills, and the ability to perform under pressure. The individual in this position will be responsible for ensuring the reliability, performance, and stability of mission-critical systems, while serving as a trusted technical partner to our customers.The ideal candidate is a self driven professional who thrives in fast-paced environments, demonstrates maturity in handling complex situations, and is comfortable managing escalations with professionalism and composure.

Key Responsibilities:

  • Act as the primary technical liaison for customers, handling escalations and fostering positive, professional relationships.
  • Take ownership of end-to-end incident resolution, ensuring timely communication, troubleshooting, and root cause analysis for critical issues.
  • Drive reliability and performance improvements across large scale distributed systems, with a focus on Hadoop, HDFS, Zookeeper, and related technologies.
  • Perform advanced Linux system administration and troubleshooting, including performance optimisation and debugging of system level issues.
  • Collaborate with cross functional teams to design and maintain reliable, scalable infrastructure spanning on premises, hybrid, and cloud environments (AWS, GCP, Kubernetes).
  • Troubleshoot and resolve issues related to UI systems, private links, VPN configurations, and custom domain management.
  • Partner with engineering and product teams to proactively identify risks, implement preventive measures, and drive long term reliability strategies.
  • Provide clear documentation, knowledge sharing, and guidance to both internal stakeholders and external customers.
  • Uphold a balanced and professional demean or, maintaining customer trust while delivering results during high stakes and time sensitive situations.

 Required Qualifications:

  • B.E. / B.Tech / B.Sc in computer science or relevant industry experience.
  • Extensive hands-on experience with Linux OS troubleshooting, performance tuning, and system debugging.
  • Proven expertise with distributed systems, particularly the Hadoop ecosystem (HDFS, Zookeeper, etc.).
  • Strong grounding in networking concepts, infrastructure design, and database systems.
  • Demonstrated proficiency with cloud platforms (AWS, GCP) and container orchestration technologies such as Kubernetes.
  • In depth understanding of VPNs, private links, and custom domain configuration.
  • Experience in UI application troubleshooting.
  • Strong interpersonal, communication, and customer relationship management skills, with the ability to lead discussions and resolve conflicts in high pressure scenarios.
  • Track record of working effectively in fast paced, high demand environments as a self learner and independent contributor.

Preferred Qualifications:

  • Familiarity with data modeling and data management concepts.
  • Experience with automation frameworks, CI/CD pipelines, and monitoring/observability tools (Prometheus, Grafana, ELK stack).
  • Exposure to systems reliability engineering practices such as error budgets, SLAs/SLOs, and chaos engineering.

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 perspectives—this 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 you’re 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 that’s right for you.

ThoughtSpot for All

Building a diverse and inclusive team isn't just the right thing to do for our people, it's the right thing to do for our business. We know we can’t 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. We’re 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.

Top Skills

AWS
Elk Stack
GCP
Grafana
Hadoop
Hdfs
Kubernetes
Linux
Prometheus
Vpn
Zookeeper
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The Company
HQ: Moutain View, CA
1,000 Employees
Year Founded: 2012

What We Do

The world’s most innovative companies use AI-Powered Analytics from ThoughtSpot to empower every person in their organization with the ability to ask and answer data questions, create and interact with data-driven insights, and use these insights to make informed decisions. ThoughtSpot delivers a complete platform for the modern data stack spanning the entire spectrum of business intelligence needs, from ad hoc novel analysis with a code-first approach, to code-free self-service exploration and AI-driven monitoring powered by natural language. That’s why companies like T-Mobile, CVS, Pepsico, Daimler, Nasdaq, and Huel have turned to ThoughtSpot to transform their data driven cultures.

Why Work With Us

We’re on a mission to build a more fact-driven world. Spotters are a curious and data-driven bunch. We believe the world would be a better place if everyone had access to facts, and we enjoy building products and solving problems that make it easier for people to ask and answer questions with data.

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