Software Engineer Backend at Superblocks

About Superblocks

Superblocks is the all-in-one programmable platform for developers to build beautiful, secure, enterprise-grade internal tools fast: build any internal app, automate any workflow and schedule any job. Developers use the Superblocks development environment to bind their datasources and UI components together using drag and drop or code. Many programming languages are already supported, including Javascript, Python and SQL. Superblocks apps, workflows, or jobs are then deployed onto a custom URL with permissions, SSO, audit logging, and other enterprise functionality. 

What you'll do:

• Users can write arbitrary Javascript and Python in our app – You’ll scale and secure our distributed code execution engine from the ground up

• Architect and scale our scheduled jobs and workflows infrastructure

• Optimize the performance of our open-source core integration execution engine

• Build a reliable and fault tolerant infrastructure to help scale with our ever increasing customer demands

• Architect new services and APIs that power our app and are used by all of our customers.

• Enable a plug and play model with new integrations without the need to restart service or manual upgrades

• Build an integrations framework that supports running declaratively defined integrations without writing code

• Ensure there is zero downtime for upgrades of integrations

• Partner closely with our customers to ensure ease of deployment and operation of the OPA

You Are:

• Able to discuss and debate strategic engineering / product decisions live with the team

• Experienced in leveraging public or private cloud infrastructure to build and operate cloud native applications and APIs

• An expert in NodeJS, Express, Postgres

• A self-starter driven by customer empathy

• Intimately familiar with SaaS architectures, cloud storage (EBS, S3), security, networking, authentication (OAuth2, SSO) and deployment.

• Highly driven by building features and improvements in a secure, well-tested, and performant way

• BONUS: Experienced in working with systems like Docker, Kubernetes, Terraform, Redis, Kafka, Elasticsearch, Logstash and Airflow, Datadog