Senior Software Engineer— Full-Stack, Platform & Applied AI
About The Position
Some engineers write features. Others build the systems that entire businesses depend on. This is your opportunity to become one of them. You'll own meaningful work from first idea to production, creating experiences that customers rely on every single day. Every improvement you make creates momentum. Every release becomes part of your professional legacy. You'll solve challenging problems alongside experienced engineers who trust you with real ownership, encourage continuous growth, and celebrate curiosity. You'll experience the excitement of learning quickly, shipping confidently, and seeing your work make an immediate difference. You'll build software that helps people access trusted health products and information while continuously expanding your own capabilities. You'll help reshape the future of intelligent software by combining thoughtful engineering with modern AI-powered development to set a new standard for quality, speed, and innovation. This is the kind of role ambitious engineers remember because they truly own what they build.
Requirements
- Demonstrated experience building and operating production software end-to-end.
- Strong full-stack engineering background including frontend, backend, databases, and deployment.
- Strong SQL skills and database schema design experience.
- Experience developing secure APIs and third-party integrations.
- Excellent written communication for both technical and non-technical audiences.
- Ability to collaborate during regular US Eastern business hours.
- Current, hands-on experience using AI coding tools such as Claude Code, Codex, or an equivalent.
Nice To Haves
- Experience with React.
- Experience with TypeScript, Node.js, Python, or C#/.NET.
- Experience with PostgreSQL.
- Experience with AWS and/or Azure.
- Experience with Kubernetes and CI/CD.
- Experience with Shopify or Microsoft Dynamics 365 integrations.
- Experience with voice AI or applied machine learning integrations.
- Leadership or mentoring experience.
Responsibilities
- Design, build, deploy, and operate production software across the full application stack.
- Own features from architecture through deployment and ongoing production support.
- Develop secure APIs, backend services, data models, and integrations.
- Build and improve customer-facing applications and internal engineering systems.
- Work across cloud infrastructure, deployment pipelines, application reliability, and security.
- Collaborate closely with business stakeholders and communicate technical concepts clearly.
- Use modern AI coding assistants daily while applying sound engineering judgment.
- Continuously improve systems, processes, and engineering quality through ownership and initiative.
Benefits
- Remote full-time employment.
- High-autonomy engineering culture.
- End-to-end product ownership.
- Opportunity to work across multiple modern platforms and technologies.
- Daily use of state-of-the-art AI development tools.
- Direct collaboration with a senior engineering team.
- Meaningful opportunities for technical growth and expanded ownership.
- Medical, Dental, and Vision coverage
- Accident, Hospital Indemnity, and Critical Illness
- Employee Assistance Program (EAP)
- Employer Paid Life and AD&D Insurance
- Optional Supplemental Life and AD&D Insurance
- Short- and Long-Term Disability Insurance
- Flexible Spending Accounts
- Health Spending Accounts
- Dayforce Wallet – get paid as you earn
- Employee Discount
- Retirement Planning (401k with matching contribution)
- Pet Insurance
- Wellness Program Offerings
- Paid Time Off, accrued per pay period based on years of service, starting at 15 days annually.
- 9 Paid Holidays per year, including 1 floating holiday.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
