Senior Cloud Reliability Engineer

We are looking for a Senior Cloud Reliability engineer to run our Multi-Cloud ( AWS, GCP, Azure-TBD) SaaS environment reliably, securely, and efficiently using best-of-the-breed Enterprise-grade SaaS tools and automation.

Responsibilities.

Use your experience in software development, systems engineering, networking and solution design to proactively prevent repeat but avoidable issues.

Define, architect, and implement tools to enhance Observability via monitoring/alerting, Availability, Scalability, Security,and cost efficiency of our SaaS Platform.

Drive a culture of intolerance to repeat manual activity which results in a highly automated environment delivering scalable SaaS solutions.

Participate in on-call rotation for critical Cloud Infra systems, lead the incident review, and root cause analysis to Provide relief and sustainable resolution to issues within our infrastructure application stack.

Drive Integration/automation initiatives using appropriate build/Buy trade-offs across the spectrum of DevSecFinOps domain for the Thoughtspot SaaS ecosystem.

Achieve quantifiable SaaS operational Excellence measured by related SLI/SLO/SLA.

Define Architecture and drive development of a multi cloud SaaS operations and status portal.

Required Skills/qualifications.

Tech.

At least 5 years of Enterprise SaaS DevSecFinOps experience.

Proficient in programming in Cloud Infrastructure specific languages like.

Go, Terraform, Python, Ruby, Bash.

Expertise in Cloud Security and/or Cloud networking.

Expertise in K8s administration based on cloud offered technologies EKS/GKE ecosystem.

Expertise in implementing operating an enterprise grade observability ( metrics, logs, tracing), alerting stack in a Cloud SaaS environment.

Experience in Linux Internals ( troubleshooting, tuning, monitoring, performance), virtualization, DevOps tools ( CI and CD), and cloud technologies.

Strong debugging and problem-solving skills (network, systems, database, and application).

Team-first attitude and uncompromising attention to detail.

Good collaboration and communication skills.

Experience/ Knowledge in Cloud Services, Kubernetes, Cloud Databases like Postgres/RDS/mysql/DynamoDB, Elastic, Kafka and Microservice architecture is a bonus.

Advanced professional certifications from Cloud Providers ( AWS, Azure, GCP) in domains like K8s, Solution architecture, networking, databases is a bonus.

Full Stack Architecture/Development Experience of a SaaS Operational Portal for an enterprise application is a bonus.

Experience with AI/ML, MLOps using genAI to auto detect, remediate SaaS issues and achieve Operations Autopilot is a bonus.

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 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't just the right thing to do for our people, it's 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.