Apache Airflow, Celery, Confluence, CSS3, Database, Django, Docker, FastAPI, Flask, Git, Google Cloud Platform (GCP), HTML5, JavaScript, JIRA, Pandas, Python Programming, RDBMS, React.js, REST API, SQL, Tornado, TypeScript
Who are we
Invisible Technologies helps fast-growing companies scale efficiently by offering them Operations-as-a-Service: a synthesis of automation, human specialization, and strategic consulting.
We start at the goal level, getting deep into our client’s businesses and the problems that they’re facing. We break down their goals & problems into processes that we can run for them. These processes are broken down into automated and human-run steps. We believe that anything that can be automated, should be automated. But that there will always need to be a human-in-the-loop to run the best operation.
Our team is made up of 75+ strategic team members who own equity in the company (our Partners) as well as 1600+ team members who are running our service and core company functions (our Agents & Specialists).
We believe that…
Team Profile:
The Automations and Integrations Teams at Invisible solve problems at scale so they never happen again. At our best, we solve problems before they happen. We automate, scrape, compare, search, and analyze. Our team is responsible for creating the data integrations and data processing tools that power our suite of SaaS integrations and custom automations.
As we grow and scale as a company, we are looking for talented Python Engineers who can evolve our existing services. Our user base, number of clients, and services are continuously growing, and we want you to be at the forefront of developing, maintaining, and improving our services whilst not compromising on code quality, development culture, and security of our environments.
Job Responsibilities:
Skills and Qualifications:
Troubleshoot issues and solve problems as they arise.
Preferred Skills and Qualifications:
Compensation:
Invisible Technologies deliver a unique blend of scale and agility because of the way we manage the interactions between our global workforce and both custom and off-the-shelf automation technologies.
United States
2-4 year