What's The Role:
As a Senior Staff Engineer, you’ll work with a team of 5-10 rockstar engineers in developing cutting edge data analytics products. You’ll be hands-on with architecture, design, and development, driving projects from 0 to 1 while aligning with customer needs and business goals.
What You'll Do:
Lead architecture and development of complex projects in the Data Analytics space.
Execute PoCs/PoTs and build prototypes for technology adoption into the product
Ensure scalable, maintainable, and performance-oriented solutions across platforms.
Drive hands-on design and technical leadership through the software lifecycle.
Collaborate with cross-functional teams to meet technical and business goals.
Mentor team members and contribute to best practices and standards.
Stay current with AI/ML trends and incorporate them into our solutions.
What You Bring:
12+ years in software development, with at least 5 years in an architect/lead role.
Strong experience in one of the following domains - Data
Analytics, Infrastructure & Large Scale Backend Systems
Hands-on experience with one or more Cloud Data Warehouses like Snowflake, Redshift, GBQ & Synapse and strong RDBMS fundamentals.
Experience in implementing different authZ/authN techniques such as JWT, OAuth 2.0, Key-Pair
Hands-on experience with cloud platforms(AWS/Azure), containerization, and DevOps practices.
Knowledge of Web Services REST, ESB, Thrift & gRP.
Experience in Gen AI/Applied ML, Infrastructure as code will be an added advantage
Excellent communication skills with technical and non-technical stakeholders.
Strong proficiency in Java-based technologies and frameworks, including Core Java and J2EE.
Good understanding of distributed systems, scalability, and availability.
Proficiency in secure coding practices, including knowledge of common vulnerabilities (e.g., OWASP Top 10, CWE) and mitigation strategies to ensure robust application security.
The ability to write clean, effective, and robust code, along with experience in writing functional, performance, and system test suites.
Knowledge of DevOps practices, CI/CD pipelines, and performance tuning is desirable.
You have a growth mindset, eager to learn and adapt.
You thrive in a fast-paced environment and enjoy wearing multiple hats.
You bring a mix of technical expertise and strategic vision.
#LI-VD
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.
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