Democrance | https://democrance.com | Python/Django/Pyramid/Pydantic AI hacker | REMOTE (working in Dubai-UK timezones)

We’re a mature microinsurance SaaS startup, building software to help bridge the gap between insurance companies and those who are not insured or under-insured. High traffic, mobile first + SMS platform that requires some interesting compliance and security requirements with deployments in countries with variable quality infrastructure. Now with added AI sprinkled on top to automate underwriting and data collection tasks - enabling lower cost insurance and reaching wider/underserved markets.

Stack is Vue.js with mostly django in the back end although pyramid/sqlalchemy is being used in our analytics dashboard. Plenty of third party api integration. Gitlab, unit tests, and continuous integration are standard.

Our devops stack includes Ansible and Terraform, and we operate across the major cloud providers, as well as a few smaller players! Mature and international dev team with a few PhD’s included.

Our QA Automation stack is built in Selenium in Java, and we're exploring Playwright as a complementary technology. Understanding of GIT, CI/CD pipelines debugging issues related to them will be key. Experience with TestNG, Maven or Gradle welcome!

We’re looking for both mature candidates and juniors - industry experience is of course welcome.

Please apply to together@democrance.com by clearly stating the role you want to apply for, your name, current location and visa status, your notice period, salary (Please do not apply again if you already have).

https://www.democrance.com/senior-back-end-software-engineer...

Octozi | Founding Engineer | Brooklyn, NY | ONSITE | Full-time | https://octozi.com

Clinical trials cost about $1B each and roughly $1M for every day they run late. They are still run on manual data review: people checking data by hand across spreadsheets and PDFs, hoping nothing was missed.

We automate it. Continuous data cleaning, data that stays analysis-ready, and signals across the whole study so sponsors can make decisions on data they trust.

What that means in practice: - Reconciling data from many systems that describe the same patient differently - A rules engine expressive enough that new studies get configured, not coded - Findings a clinician will act on, which means correct and self-explaining - Real product surface: this is what people stare at all day

In production with pharma sponsors. Small team, second engineering hire, no legacy to defend.

Stack: Django/Python, React, AWS. SOC 2 Type II.

Comp: $170-220K + equity.

Email us @ careers+hn@octozi.com