Engineering Leader- Backend

Full Time
Bengaluru, Karnataka, India
10 months ago

What we do?

ThoughtSpot is on a mission to create a more fact-driven world. Our platform is disrupting the $200B+ analytics market industry by making it 1000x faster and easier for non-technical business people to answer their own data questions, based on innovations in search engines, in-memory large-scale computing & AI technology. With ThoughtSpot, anyone from C-suite executives to front-line employees can use a simple search to instantly analyze billions of rows of data, and leverage artificial intelligence to get relevant insights on questions they might not have thought to ask. If you’re looking to solve hard problems in a large market, this is the role for you!

ThoughtSpot is a pioneering company at the forefront of the data analytics and business intelligence industry. Our platform empowers organizations to transform their data into actionable insights, enabling them to make smarter, data-driven decisions. 

We, at ThoughtSpot, are looking for an Engineering Leader  to lead and grow the team based out of Bangalore. Come join a team of world-class at ThoughtSpot, who are responsible  for building and operating the middleware which runs the core applications which enables deep search driven BI applications  weaving valuable insights from every row of an infinite data pool, for our growing SaaS customers. In this role, you will be a hands-on technical leader responsible to manage a team that designs, builds and scales to help millions of business-people make smarter decisions. 

 

What you'll do: 

  • Manage and mentor backend engineers to be more effective at their work and grow their careers.
  • Drive the quality and stability of the product by getting hands-on as required with code, design and test plan reviews, and debugging distributed systems issues
  • Build a culture of operational excellence with a focus on observability, performance, scalability, cloud cost and security.
  • Architect, design, develop and operationalise high performance, scalable, resilient and secure systems.
  • Collaborate with multiple stakeholders across product and engineering teams, to establish KPI for different services and own end-to-end delivery and lifecycle management
  • Identify and help implement the most appropriate technologies, protocols and frameworks leading to efficient solutions
  • Defining strategy and technical roadmap for continuously improving release and deployment velocity, scale, performance and reliability of ThoughtSpot services
  • Provide technical leadership, and lead initiatives across global team
  • Recruit, inspire, and build world-class teams. Develop and grow leaders to continue pushing the boundaries of engineering excellence and execution for on-time delivery of projects with top quality
  • Help evolve a culture of selfless-excellence in which each person does the best work of their lives and amplifies everyone around. 

Required skills/qualifications

  • BS/MS in Computer Science or related fields, with 13+ years of experience in software development, 5+ years of of experience in leading teams
  • Prior expertise in building SaaS platforms and applications
  • Extensive experience in designing and implementing high-performance distributed systems and real-time systems of data processing.
  • Must have an understanding of Kubernetes, Container Orchestrations, Docker, and Cloud Native applications.Strong fundamentals in distributed systems design and development
  • Experience in architecting secure, highly available, elastic, and scale-out systems
  • Experience in one or more programming languages C++, Java, Python, Go.
  • Brings in a high level of self-motivation to solve complex problems and challenges
  • You have experience in hiring, managing, and growing teams
  • You love building and leading exceptional teams in a fast-paced, geographically distributed, and entrepreneurial environment. You have a strong bias for action and being resourceful
  • You are obsessed with customer-experience and uncompromising engineering standards

    Why do engineering at ThoughtSpot?

    We are an engineering driven organization co-founded by engineers who built search and infrastructure systems at Google, database systems at Microsoft and enterprise software at Oracle. As an engineer, you can learn how to build distributed systems, and the engineering processes/best practices to ship software that solves a problem.

    At ThoughtSpot, you have the ownership and responsibility to take charge and accelerate your career that comes with a scaling company, while having the opportunity to build deeper expertise in an early stage startup. You’ll work alongside experts in product, design, sales and customer success, giving you the time and energy to  focus on engineering. You’ll also get the chance to be part of a truly globally distributed engineering team - more than 50% of our global engineering output is driven from the Bangalore office. Some teams collaborate closely with counterparts in Sunnyvale and Seattle, while others run independently from Bangalore. 

    Diversity & Inclusion:

    We are very deliberate about building a culture focused on #BalanceforBetter, where everyone is seen, heard, and most importantly, valued.

    At ThoughtSpot, we know a diverse and inclusive workforce ultimately drives innovation. Multiple voices lead to new ideas, encourage out-of-the box thinking, and create new opportunities. ThoughtSpot’s mission is to “create a more fact-driven world for every human.” This mission itself demands inclusion - reaching every human is only possible through a variety of perspectives, approaches, and ideas.

    If the above sounds exciting (and challenging!)Please reach out to us. We'd love to talk.

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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