Invisible
Software Engineer - Platform
Invisible
$135k - $160k
Worldwide (Remote)
Python
GraphQL
Kubernetes

Software Engineer - Platform

Overview

Invisible is the operations innovation company transforming how companies are built and run. We are a tech-enabled service providing solutions to the world’s most complex business problems.

Job Description

Invisible is a tech-enabled service providing solutions to the world’s most complex business problems. Driven by our proprietary process orchestration platform, we seamlessly integrate advanced AI and automation with a global network of thousands of experts.

Responsibilities

  • - Working on our core API
  • - Optimizing and debugging GraphQL
  • - Ensure the base levels of our platform operate smoothly
  • - Working on the requirements for architectural changes to our platform
  • - Building tooling to support core platform functionality, such as authentication
  • - Participating in technical review of solutions to platform level issues

Required Skills

  • - 3+ years of software engineering work experience
  • - Demonstrated experience delivering well-tested code that has significant and measurable business impact
  • - 3+ years experience with Backend using Python Web Frameworks (Flask, Django, FastAPI, etc.)
  • - 3+ years experience with APIs leveraging GraphQL
  • - Data Management Systems (PostgreSQL, Elasticsearch, Cassandra, Kafka, etc.)
  • - Cloud Deployment using Kubernetes (with observability)
  • - Experience with agile methodologies and the art of delivering software at high quality and on schedule
  • - Experience working with fully remote teams is a plus

Benefits

  • - Work remotely around the world on a schedule that suits your lifestyle
  • - Fully transparent Partner Pay Model designed for co-ownership
  • - Substantial equity compensation
  • - Leadership team legally obligated to buy back partner shares according to a formal liquidity plan

About the company

AI. Automation. People. Our process orchestration platform uses flexible combinations of generative AI, 300+ integrations, and over 3,500 trained experts as managed services to tackle your problems at any scale.