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 seeking a Senior Member of Technical Staff to join our engineering team and play a critical role in building and maintaining scalable applications. You will leverage your expertise in Ruby on Rails, Active Record, Sidekiq, Docker, PostgreSQL, DynamoDB, and AWS services to design, develop, and optimize our systems. This role involves collaborating with cross-functional teams, mentoring junior engineers, and driving best practices in software development.

What you'll do:

• Develop and optimize scalable applications using Ruby on Rails and Active Record.

• Design and implement background job processing using Sidekiq.

• Optimize database performance for PostgreSQL and DynamoDB.

• Deploy and manage containerized applications using Docker.

• Utilize AWS services (EC2, RDS, Lambda, S3, IAM, CloudWatch, ECS, etc.) to build robust cloud-based solutions.

• Ensure system security, scalability, and high availability.

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

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

• Mentor junior engineers and actively participate in technical discussions and reviews.

What You Bring:

• 6+ 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.

• Proficiency in AWS services such as EC2, RDS, Lambda, DynamoDB, S3, ECS, and IAM.

• 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.

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.