- Design, develop, and deploy secure and scalable full-stack web applications on AWS infrastructure.
- Collaborate with cross-functional teams to architect scalable and efficient solutions.
- Develop and maintain new user-facing features in React applications.
- Implement and maintain APIs (GraphQL) for seamless data retrieval and manipulation.
- Implement and maintain automated testing suites at all layers of the application.
- Utilize CI/CD pipelines for automated testing and deployment processes.
- Develop and optimize database schemas and queries using DynamoDB and other cloud-native data stores.
- Actively participate in the development and integration of Gen AI technologies into our platform.
- Lead other engineers and take ownership of features from ideation to implementation, ensuring timely delivery of high-quality software.
- Thrive in a fast-paced environment, where innovation and agility are paramount.
- Demonstrate a passion for continuous learning and keeping up with the rapid development of Gen AI tooling.
- 5-8+ years experience deploying full-stack web applications securely to the cloud.
- Strong proficiency in TypeScript/JavaScript and experience with modern frameworks such as React.
- Proven experience developing CI/CD pipelines to regularly ship high-quality software with confidence.
- Familiarity with GraphQL and its implementation in a production environment.
- Experience working with NoSQL databases (DynamoDB is a plus).
- Strong automated testing background across all layers of the testing pyramid.
- Interest and/or experience in Gen AI technology is highly desirable.
- Data engineering and Python experience is a plus.
- Experience leading teams through design and implementation of features across the stack.
- Excellent problem-solving skills and ability to think critically.
- Self-directed with a proactive approach to tackling challenges.
- Ownership mentality with a focus on quality and security.
- Strong communication skills and ability to work effectively in a collaborative team environment.
- Experience working in the healthcare industry is preferred but not required.
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Mid/Senior Full-Stack Software Engineer - West Des Moines, United States - Stealth AI Startup
Description
Job Title: Mid/Senior Full-Stack Engineer (Seed Stage Gen AI Startup)
Location: West Des Moines, Iowa
Company Overview:
ClaimsHero is on a mission to ensure everyone gets the care they need and coverage they deserve. As a venture-backed seed stage generative AI startup, we're challenging the 850M denied U.S. health claims each year. With algorithms and obstacles increasingly driving inappropriate denials, patients are desperately seeking help and providers are struggling to keep up. We amplify patient voices with AI-powered appeals that extract, match and generate powerful evidence in minutes.
Our vision is to level the playing field, making it easy to eliminate barriers to essential care that result in poor health, financial strain, and medical debt. We're building a team of mavericks, creators, explorers, architects, protectors, navigators and storytellers. You will work directly with our physician-led founding team, including experts in data science, healthcare policy and healthcare technology.
To apply: Send a short message and attach or link your resume here:
Job Description:
We are seeking a highly motivated and skilled Mid-level or Senior Full-Stack Software Engineer to join our small, dynamic team. The ideal candidate will have experience in deploying secure full-stack web applications to AWS, proficiency in TypeScript/JavaScript, React, CI/CD, GraphQL, and DynamoDB, with a strong interest and/or experience in Gen AI technology. Additionally, data engineering experience with Python is considered a valuable asset.
Responsibilities:
Qualifications:
If you are passionate about leveraging technology to make a meaningful impact in the healthcare industry, and thrive in a fast-paced, innovative environment, we encourage you to apply. Join us in our mission to empower patients and revolutionize healthcare with cutting-edge generative AI technology.
