Analyst Studio is a collaborative data platform developed by ThoughtSpot that empowers data teams to accelerate the transformation of raw data into actionable insights. It provides a unified environment where users can seamlessly prepare data for AI, perform ad hoc analysis, and manage data and costs—all within an integrated platform.

• Data Preparation for AI

• Integrated Analytics Workflow

• Advanced Analytics with R and Python Notebooks

• Data Management and Cost Optimization

What’s The Role?

We are looking for a Staff Engineer to join our engineering team and drive technical excellence across our systems. In this role, you will be responsible for designing, building, and optimizing high-scale applications using Ruby on Rails, Active Record, Sidekiq, Docker, PostgreSQL, DynamoDB, and AWS services. You will collaborate with cross-functional teams to develop scalable, maintainable, and resilient architectures while mentoring engineers and contributing to our overall technical vision.

What You’ll Do:

• Architect, develop, and optimize scalable applications using Ruby on Rails and Active Record.

• Design, implement, and maintain background job processing with Sidekiq.

• Optimize database performance for PostgreSQL and DynamoDB.

• Deploy and manage containerized applications using Docker.

• Design and implement distributed, fault-tolerant systems within the AWS ecosystem (e.g., EC2, RDS, Lambda, S3, IAM, CloudWatch, ECS, etc.).

• Ensure high availability, security, and scalability of the application infrastructure.

• Collaborate with product managers, designers, and engineers to deliver high-quality features.

• Provide technical leadership, mentoring, and guidance to engineering teams.

• Drive best practices in code quality, testing, automation, and DevOps.

What You Bring:

• 8+ years of experience in software engineering with expertise in Ruby on Rails.

• Strong understanding of Active Record, Sidekiq, and background job processing.

• Experience with PostgreSQL (query optimization, indexing, replication, and tuning).

• Experience working with DynamoDB and NoSQL database patterns.

• Hands-on experience with Docker and containerized deployments.

• Deep knowledge of AWS services such as EC2, RDS, Lambda, DynamoDB, S3, ECS, and IAM.

• Proven experience building distributed, scalable systems.

• Strong grasp of software engineering best practices, including testing, CI/CD, and DevOps.

• Excellent problem-solving skills and ability to troubleshoot complex issues.

• Experience mentoring engineers and driving technical decision-making.

Preferred Qualifications:

• Knowledge of Terraform or Infrastructure-as-Code practices.

• Experience with microservices architecture and event-driven systems.

• Experience working in an Agile development environment.

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.