THIRUVANANTHAPURAM · FULLTIME
Sr Cloud Reliability Engineer
ThoughtSpot
Thiruvananthapuram · onsite · Posted 12d ago
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Undisclosed6–11 yrsfulltimeThiruvananthapuram
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Section · 01
About this role
{"company":"
The Role:
We are seeking a Senior/Staff Site Reliability Engineer with deep enterprise SaaS operations expertise to own the availability, reliability, security, and efficiency of our Multi-Cloud (AWS, GCP) production SaaS platform. The ideal candidate brings hands-on experience running highly available, large-scale Kubernetes-based control and data planes, a strong bias toward automation and AI-augmented operations, and a proven track record in production security, capacity management, and cloud-native data infrastructure. What Youll Do:
In-Office at ThoughtSpot
About ThoughtSpot
Mandatory and Required Skills for All ThoughtSpot Roles
AI Mindset for All Spotters
ThoughtSpot for All
What Makes ThoughtSpot a Great Place to Work ","role":"
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
ThoughtSpot is a Data & AI platform that helps companies turn data into enterprise advantage. Were Gartner MQ leaders with more than 1,000 customers globally and offices in Mountain View, Chicago, London, Bangalore, Sydney, and Tokyo.
We are seeking a Senior/Staff Site Reliability Engineer with deep enterprise SaaS operations expertise to own the availability, reliability, security, and efficiency of our Multi-Cloud (AWS, GCP) production SaaS platform. The ideal candidate brings hands-on experience running highly available, large-scale Kubernetes-based control and data planes, a strong bias toward automation and AI-augmented operations, and a proven track record in production security, capacity management, and cloud-native data infrastructure.
- Operate a high-scale, multi-cloud (AWS, GCP) SaaS platform - ensuring reliability, performance, and uptime for business-critical production workloads.
- Embed AI and Agentic workflows into SRE practice: leverage AI Ops platforms and LLM-powered autonomous agents for anomaly detection, automated triage, runbook execution, and incident summarization to reduce MTTR.
- Drive capacity planning and scaling operations - proactively model growth, right-size infrastructure, and implement horizontal/vertical autoscaling strategies to support SaaS growth without reliability regression.
- Architect and operate Kubernetes controller frameworks governing both control plane and data plane services; define and enforce operational standards for cluster lifecycle, workload scheduling, autoscaling, and failover.
- Own operations of high-scale cloud-native databases and data infrastructure: PostgreSQL/RDS, DynamoDB, MySQL, Elasticsearch/OpenSearch, ElastiCache (Redis/Memcached) on AWS and GCP - including performance tuning, backup/recovery, and incident response.
- Lead incident response and blameless post-mortems for P0/P1 events; drive root cause analysis to permanent resolution and prevention - eliminating repeat incidents through systemic fixes, not workarounds.
- Define and enforce a culture of automation-first: identify and eliminate toil through self-healing systems, automated remediation pipelines, and infrastructure-as-code (Terraform, Helm, GitOps).
- Participate in on-call rotations for critical cloud infrastructure; serve as a senior escalation point and incident commander during high-severity events.
- Achieve quantifiable SaaS operational Excellence measured by related SLI/SLO/SLA
What You Bring:
- B.Tech. degree in Computer Science or equivalent.
- At least 6+ years of Enterprise SaaS Ops experience
- Strong proficiency in programming, particularly with Go and Python, and experience with Infrastructure as Code (IaC) tools like Terraform and Ansible.
- Expertise in Cloud Security and/or Cloud networking
- Experience with AI Ops tools, Agentic LLM.
- Experience/ Knowledge in Cloud Services, Kubernetes, Cloud Databases like Postgres/RDS/MySQL/DynamoDB, Elastic, Kafka, and Microservice architecture is a bonus.
- Experience in implementing and operating enterprise-grade observability ( metrics, logs, tracing), alerting stack in a Cloud SaaS environment
- Strong debugging and problem-solving skills (network, systems, database, and application).
- Advanced professional certifications from Cloud Providers ( AWS, Azure, GCP) in domains like K8s, Solution architecture, networking, and databases are a bonus.
- Full Stack Architecture/Development Experience is a bonus.
Spotters are expected in-office 3+ days per week to be part of the energy of their local team. Momentum compounds when were in the room together with faster decisions, sharper problem-solving, and the kind of peer learning that doesnt happen over a screen. Being in-office is our default way of working, with flexibility available where its genuinely needed.
The world s most innovative companies turn to ThoughtSpot s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.
At ThoughtSpot, we re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That s why we build products that make asking and answering data questions as natural as having a conversation.
Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to:
- Comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.
- Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
- Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
- Write effective prompts to get the most accurate and creative results from AI tools.
Spotters are expected to exemplify these key traits and AI Mindset:
- Curiosity in exploring new AI tools
- Adaptability to quickly learn and implement new, emerging AI technologies
- Critical thinking to know when to identify when AI should be used versus when human judgement is necessary
This combination of curiosity, adaptability, and discernment defines the AI mindset, and it s required for every role at ThoughtSpot.
At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.
All Spotters are expected to experiment with ThoughtSpot s AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.
At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you re a strong match, we encourage you to apply.
ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. 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 Trust, Customer Obsession, Innovation and Intensity, 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.
The Role:
We are seeking a Senior/Staff Site Reliability Engineer with deep enterprise SaaS operations expertise to own the availability, reliability, security, and efficiency of our Multi-Cloud (AWS, GCP) production SaaS platform. The ideal candidate brings hands-on experience running highly available, large-scale Kubernetes-based control and data planes, a strong bias toward automation and AI-augmented o
"},"We are seeking a Senior/Staff Site Reliability Engineer with deep enterprise SaaS operations expertise to own the availability, reliability, security, and efficiency of our Multi-Cloud (AWS, GCP) production SaaS platform. The ideal candidate brings hands-on experience running highly available, large-scale Kubernetes-based control and data planes, a strong bias toward automation and AI-augmented o
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
Automationcloud databasesamazon web servicesai technologiesCapacity managementcloud networkingAnalyticsAnomaly DetectionCloud InfrastructurecloudAI ToolsCloud SecurityArchitectureAi PlatformMicrosoft AzureAnsibleArtificial Intelligence
Section · Company
About ThoughtSpot
ThoughtSpot
Software Product
420
employees
2012
14 years old
San Jose,California
United States
About
ThoughtSpot delivers AI-driven analytics tools that enable organizations to gain instant data insights, enhancing decision-making processes across various business levels.
Industries
Software ProductInternet
Employee ratings
38 reviews
3.9/ 5
Culture
3.7
Career growth
3.3
Work-life
3.5
Employees rate it well for
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