Enterprise Technical Architect

Join Drishti to solve a 100-year-old problem in a $12 trillion dollar market.
Deep learning-driven action recognition is the next frontier for AI. Build it with us.

Drishti’s mission is to “extend human potential in an increasingly automated world.” We’re driving true digital transformation in manufacturing by, for the first time since Henry Ford, making manual processes visible to factory analytics. We’re producing, collecting and analyzing massive amounts of data as we build manufacturing’s first and only solution for deep learning-driven action recognition. 

About this role

Drishti’s enterprise architect is responsible for helping design and build Drishti's cloud and data infrastructure. He/she will be technically strong, even writing code, while providing technical guidance to the team, and have personally built/led the building of systems that have scaled. 

The enterprise architect will have deep domain expertise from having architected and scaled SaaS products previously (ideally systems with deep roots in data), be a self-starter who can work independently, but also coordinate and communicate effectively with a cross-continental team.

Minimum qualifications

  • Bachelor’s in Engineering, preferably CS/EE
  • At least 8 years related experience in software development and rapid-prototyping 
  • Deep knowledge of cloud-ready architectures utilizing infrastructure and platform cloud services for AWS, GCP, or Azure
  • Familiarity with mobile/web architecture stacks
  • Experience with both RDBMS/NoSQL databases and appropriate use cases
  • Experience with containerized deployment Docker, Kubernetes
  • Data literate (e.g., be comfortable with statistics)

Preferred qualifications

  • Master’s degree in Engineering
  • Experience with one or more of: event-driven and micro-services architectures, computer vision, video pipelines, AI/ML would be a strong plus
  • Experience working in a venture-backed software startup developing solutions with demonstrated scaling and/or experience in a large, cloud-based enterprises 
  • Experience designing multi-tenant SaaS applications
  • Familiarity with DevOps practices and tools 

Five reasons to work at Drishti

  1. Work with visionaries who can execute: Our leadership team is comprised of heavy hitters from the AI and deep learning world. Check out their patents and publications, and see how their histories intertwine with the biggest movements in the last 30 years of technology. And imagine being on a first name basis with them, solving hard technical problems side-by-side. 
  2. Tackle a massive market challenge: Manufacturing is a $12T industry that still uses 100-year-old techniques to gather data on human tasks. Which means that people, who still perform nearly 75 percent of factory activities, are effectively invisible to analytics. This situation severely hinders the decision-making abilities of the world’s largest manufacturing brands. The demand for a solution couldn’t be larger. 
  3. Do what you love – solve problems using tech: A problem of this magnitude requires the full force of technological solutions. You’ll take on neural network model accuracy, high-volume video transit and storage, Big Data analysis and much more. It’s the challenge – and the madness, and the fun – of building an SAP on top of a YouTube on top of a Nest.
  4. Lead the charge from Bangalore: Drishti is based in Silicon Valley, and funded by top venture capital investors that include Andreessen Horowitz, Emergence Capital and BGV. But – and this is critical for you – Drishti is building its product out of Bangalore. From our CTO on down, Bangalore is the heart and soul of Drishti’s engineering. You’ll be at the center of the action.
  5. Get exposure to deep learning: Deep learning technology is fundamental to what we do, and select engineers at Drishti have the opportunity to rotate into our deep learning group, to work alongside some of the foremost experts in the field. 

Want to apply later?

Type your email address below to receive a reminder

Apply to Job

ErrorRequired field
ErrorRequired field
ErrorRequired field
Error
Error
insert_drive_file
insert_drive_file