Full-Time

Devops Engineer

Posted on 12/14/2023

Verikai

Verikai

11-50 employees

AI predictive risk underwriting tool for insurers

Data & Analytics
AI & Machine Learning
Financial Services

Compensation Overview

$85,000 - $110,000Annually

Junior, Mid, Senior

Remote in USA

Required Skills
Kubernetes
Python
JavaScript
Docker
AWS
Development Operations (DevOps)
Requirements
  • Experience with source control, automation, CI/CD, and orchestration tools
  • Experience designing and building infrastructure and web application environments on AWS
  • Experience in DevOps, including continuous integration/delivery/deployment, automation, release and configuration management, and monitoring and alerting
  • Experience in Containerization technologies such as Docker and AWS ECS/Kubernetes
  • Proven analytical and critical thinking skills in a complex compute environment
  • Passion for learning, continuous improvement, teaching, and mentoring
  • Advanced Scripting skills with Python or JavaScript
  • Advanced skills with security and security principles as applied to infrastructure and internet computing
Responsibilities
  • Design, manage and build application and tooling deployment pipelines
  • Manage and maintain Cloud Infrastructure resources including EC2 Instances, Lambda runtimes, and AWS Security Groups
  • Analyze and help resolve technical and application problems
  • Help to administer AWS
  • Drive automation efforts across the organization utilizing IaC (Infrastructure as Code) and CI/CD tools
  • Assist with Security and Compliance implementations and management in the cloud
  • Implement monitoring and alerting tools and practices for a microservices oriented architecture
  • Provide technical support to development teams

Verikai offers an AI predictive risk underwriting tool for insurance companies, leveraging advanced machine learning models and analytics to provide precise risk assessments and enhance underwriting efficiency through behavioral data insights. The platform enables insurers to make data-driven decisions, minimize risk exposure, and improve profitability, utilizing advanced modeling techniques and API integration for seamless implementation.

Company Stage

M&A

Total Funding

$6M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

11%

1 year growth

3%

2 year growth

-14%
INACTIVE