We seek a well-rounded Software Developer (Search Engineering) with a Supportability and Automation-oriented mindset to join our Production Engineering team for enhancing AI-assisted Data Search capabilities of ThoughtSpot. The role will involve troubleshooting and automating remediation with a view to building tooling to strategically fix production issues and enhance ThoughtSpot’s capabilities.

You will be passionate about developing tools and automation to deploy, maintain and troubleshoot distributed services and applications in Cloud and On-Premise Infrastructure. You will be responsible for fixing the big picture comprising of the interconnect of the ThoughtSpot service stack and will use a variety of tools and approaches to solve a broad spectrum of problems.

Responsibilities

• Work with Product teams to define, architect and implement tools to enhance debuggability, supportability, availability, scalability and performance of Search Engines component within ThoughtSpot with focus on areas like capacity, performance and accuracy of search, overall user experience and usability of results.
• Have exposure to efficient Searching with In-Memory databases and CDWs. 
• Take a customer-first approach in understanding the requirements and devising solutions for VPC and on-prem environments. AWS is preferred.
• Participate in the incident reviews and root cause analysis.
• The use cases include, but are not limited to, minimizing manual operational effort, incident postmortems and proactive identification of potential issues that may otherwise be hard to foresee. 
• The ability to work with globally located cross-functional teams in a rapidly growing environment is a must.

Required skills/qualifications

• A Bachelor’s Engineering degree in Computer Science and/or equivalent industry experience 
• 2+ years of experience with BI systems, ideally with performance-tuning for searching in CDWs and in-memory databases at scale.
• A mature, quality-oriented developer mindset backed by 5+ years of SDLC  experience.
• Should be able to dissect performance hits/expensive steps and determine origin of errors by reviewing the E2E flow of queries/results and determine the choke-points in stack.
• Experience with secure delivery of search results with enterprise-scale environments would be ideal.
• Good command in programming and building applications using RPCs (Thrift, gRPC and REST) and serialization protocols (Protobuf and JSON) with the ability to diagnose technical problems, debug code and automate tasks would be ideal.
• Proficient in writing tooling in Python/PERL/AWK/BaSH. 
• Proven, insightful experience with Deployments, Application and Network Load Balancers, Proxy servers and Accelerated Network/Content/web services would be useful with black-box testing for Search issues.
• Strong problem-solving skills, algorithmic thinking and a strong foundation in how systems ought to work.

Desired Skills

• Experience in Linux, virtualization, DevOps tools and cloud technologies. Additional expertise in Cloud Networks would also be an advantage.
• DevOps mindset to treat operational issues as software problems and you use the software as the primary tool to manage large environments.

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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. 

About ThoughtSpot

The world’s most innovative companies use AI-Powered Analytics from ThoughtSpot to empower every person in their organization, from C-suite executive to frontline employee, with the ability to ask and answer data questions, create and interact with data-driven insights, and use these insights to make informed decisions and take action. ThoughtSpot is simple enough for any business person to use, yet built to handle even the largest, most complex data, wherever it may reside. That’s why customers like T-Mobile, BT, Snowflake, HubSpot, Exxon, Daimler, Medtronic, Hulu, Nasdaq, OpenTable, Huel, and Nationwide Building Society have turned to ThoughtSpot to transform their data driven decision-making cultures.

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