Back-end Engineer in Pulsar

We are a team of Stanford engineers, computer scientists and manufacturing experts looking to disrupt the multi-trillion manufacturing industry. Our product combines sensor technology with machine learning to monitor industrial processes in real-time and help factories operate more efficiently. This fully-automated system enables industrial monitoring at a fraction of the cost and implementation time of other solutions. We are backed by the Stanford TomKat Center, StartX accelerator, The MBA Fund and some top Silicon Valley investors.

We are looking for an experienced Node.JS backend developer to join our team full-time. You will work side-by-side with Pulsar founders, and some top full-stack and machine learning engineers to build new features for our SaaS web application as long as internal admin tools. The job involves interesting design challenges including data streaming, real-time analytics, ML data pipelines, among other things.

This is a great opportunity for someone interested in taking a leading role in a fast-growing startup, with a future option to relocate to Silicon Valley.

The ideal candidate is detail-oriented, proactive and excited about being part of an early-stage but highly ambitious and talented startup team.

• BS in Computer Science or related field or equivalent practical experience
• A minimum of 3 years of experience in javascript backend development
• Strong experience building APIs using Node.js and Express.js
• Experience with designing both relational and non-relational databases and optimizing database structure for performance
• Experience writing unit and integration tests
• Familiarity with Github for collaboration and version control
• Strong desire to work for an early stage startup and contribute at a high level

• Typescript
• AWS architectures (Lambda, EC2, IAM, etc)
• Continuous Integration & Continuous Delivery
• Data Streaming tools (e.g. Apache Kafka)
• Event-sourcing, concurrency and parallelism

We offer a very attractive salary, stock options (after evaluation period), performance bonuses and flexible working hours. The job is 100% remote.