Position: Python Engineer
Company: KaaIoT, Technologies LLC
Category: Python
Experience required: 2y
English level: intermediate

**Requirements:**
Experience with Python 3+ years
Deep knowledge of Django
Knowledge of Postgres SQL
Experience with Elasticsearch

**Would be a plus:**
Understanding CI/CD process
Experience with SSO (OAuth, SAML)
Knowledge of text formats converters (doc, xls, pdf)

**Company mission:**
The company is building intelligent tools to help R&D enterprises organize their design knowledge. The complexity of engineering solutions in industries such as Medical Devices, Aerospace Engineering, Logistics, and Automation has exploded while the tools intended to help companies in these industries organize their development process and documentation have not kept apace. Our mission is to build software solutions that would naturally integrate into the R&D process and allow engineers to focus on engineering by providing the guardrails for managing design knowledge, traceability, and compliance.

**About the project:**
Phase1 (current)
With a particular focus on the medical device industry, we are building an intelligent SAAS design traceability solution providing functionality for:
Requirements Management
Design documentation Management
Risk Analysis
Test Management
Compliance Management
The key goal of the tool is to create an easy-to-use solution that allows for the continuous, iterative build-up of compliance and design documentation throughout the project life-cycle.

Tight integration with CI/CD systems and most popular tools (such as Jira, Gitlab, etc) and the ability to trace the design from requirements all the way to actual code will enable developers to work on design traceability and compliance the same way they work on code - in small increments with a continuous review process.

Phase2 and Beyond
Once we have the basic engine for managing design traceability and compliance we will focus on building intelligence into the tool. Some of the features we aim to build are:
Intelligent project metrics with respect to quality, risk, and compliance (something that no tool provide today)
Analysis of requirement quality, depth, and code coverage
Intelligent Gap analysis
Cybersecurity and HIPAA add-ons
Linking failure modes to actual metrics collected via IoT endpoints and analyzed at the scale
One button FDA filing documentation generation
Prepackaged compliance documentation bundles aimed to provide structure for design documentation generation from Day 1
Audit Prep