[Remote] Senior Test Automation Engineer at Rad AI

United States

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$150,000 – $185,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, AI, RadiologyIndustries

Requirements

6+ years of general software programming experience with TypeScript and Python, including regular use of major scripting languages
Additional consideration for experience with Object-oriented programming languages (C#, Java, etc.)
Comfortable writing Unit Tests
API testing experience (C#, ASP.NET, Core Minimal API, FastAPI, GraphQL, Postman)
Strong troubleshooting skills
Strong knowledge of the Software Development Life Cycle
Experience working with CI/CD tools (Github Actions, Circle CI)
Working knowledge of SQL
Nice to Haves
Experience working with AWS and/or Google Cloud
Healthcare/Medical industry experience, ideally in a startup environment
Experience with Playwright, Selenium, Cypress, or other automation frameworks

Responsibilities

Assist with all test automation activities and collaborate with multiple teams
Design and creation of automated test suites across various services and applications
Perform functionality testing on the Rad AI product, including verifying feature implementations and testing new releases (writing bug tickets)
Collaborate to ensure project deadlines were met effectively and consistently

Skills

Key technologies and capabilities for this role

Test AutomationAutomated Test SuitesSeleniumCypressPythonJavaCI/CDJenkinsGitAgile

Questions & Answers

Common questions about this position

What is the salary range for the Senior Test Automation Engineer position?

The salary range is $150K - $185K.

Is this position remote?

Yes, this is a remote position.

What skills are required for this role?

Candidates need 6+ years of general software programming experience with TypeScript and Python, including regular use of major scripting languages, plus experience writing Unit Tests and API testing (C#, ASP.NET, Core Minimal API, FastAPI, GraphQL). Experience with Object-oriented programming languages like C# or Java is also considered.

What is the company culture like at Rad AI?

Rad AI fosters a collaborative environment focused on transforming healthcare with AI, working with cross-functional teams to deliver high-quality software that improves patient outcomes, in a high-growth setting building test automation from the ground up.

What makes a strong candidate for this Senior Test Automation Engineer role?

A strong candidate has 6+ years of experience with TypeScript and Python, unit testing, and API testing across technologies like C#, ASP.NET, FastAPI, and GraphQL, with the ability to design automated test suites and collaborate across teams to meet deadlines.

Rad AI

AI-driven software for radiology workflows

About Rad AI

Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$76.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Health Insurance

Health Savings Account/Flexible Spending Account

401(k) Retirement Plan

Paid Holidays

Remote Work Options

Unlimited Paid Time Off

Risks

Emerging competition from companies like DeepMind could overshadow Rad AI's offerings.

Rapid AI technology evolution requires Rad AI to continuously innovate.

AI-driven automation may face resistance from the medical community.

Differentiation

Rad AI's Omni Reporting won 'Best New Radiology Software' by AuntMinnie.

Rad AI integrates AI with FHIRcast for enhanced radiology workflow interoperability.

Rad AI is a pioneer in using large language models for radiology report generation.

Upsides

Rad AI achieved a 48% increase in radiograph reporting efficiency at RANT.

Rad AI raised $50M in Series B funding, boosting its expansion capabilities.

Strategic collaboration with AGFA HealthCare enhances Rad AI's market position.

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