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Build the full-stack platform behind biometric health technology used in real research, healthcare, workforce safety, and enterprise environments.

Location: Remote/distributed in the United States; Austin / San Antonio preferred

Company: Confidential biometric health technology company

Compensation: $90,000-$130,000 base salary, with additional flexibility for exceptional profiles

We are hiring a Junior / Mid-Level Full-Stack Platform Engineer for a fast-moving biometric health technology company building production systems around wearable physiological data, APIs, SDKs, and AI-forward infrastructure.

This is a hands-on builder role for someone early in their engineering career who already has real full-stack experience and strong fundamentals. You do not need to be a senior engineer. You do need to be sharp, practical, curious, and able to ship useful software with mentorship from experienced technical leaders.

The right person will help build backend services, frontend surfaces, APIs, SDKs, and data pipelines that support a broader biometric data platform. You will work in a lean startup environment where speed, ownership, clear communication, and good engineering judgment matter.

• Real platform work in biometric health technology, not toy internal tools.
• Direct exposure to AI-forward infrastructure, data pipelines, APIs, and SDKs.
• Mentorship from senior technical leaders while still owning meaningful build work.
• A lean startup environment where strong early-career engineers can grow quickly.
• Remote/distributed setup, with Austin / San Antonio preferred but not required.
• $90,000-$130,000 base salary for the right early-career or junior/mid-level profile, with additional flexibility for exceptional profiles.

• Build and improve full-stack platform features across frontend, backend, APIs, SDKs, and data systems.
• Write Python- or Go-backed services and work with JavaScript or TypeScript on product-facing surfaces.
• Support data pipelines and platform workflows that connect biometric data, enterprise systems, and AI-facing infrastructure.
• Collaborate with senior engineers on architecture, implementation, deployment, and technical tradeoffs.
• Ship clean, reliable code in a compliance-aware environment.
• Debug production-adjacent issues, reason through data flow, and improve the platform over time.
• Move quickly without waiting for every detail to be prescribed.

• Hands-on full-stack software engineering experience from a professional role, internship, startup, open-source work, or substantial shipped project.
• Strong Python or Go skills.
• Experience building backend services, APIs, SDKs, or data pipelines.
• Practical frontend experience, especially JavaScript or TypeScript.
• Solid fundamentals in Git, testing, debugging, deployment, interfaces, and data flow.
• Comfort working in a lean startup where priorities move quickly.
• Ability to communicate tradeoffs clearly and learn from senior engineers.
• Willingness to complete a live coding assessment.

Recent grads can be a fit when they have unusually strong full-stack project, internship, startup, or open-source evidence. This is not a pure classroom-only role; the team needs someone who has already built and shipped real software in some form.

• Depth across both Python and Go.
• AI/ML, AI tooling, data infrastructure, or model-facing platform exposure.
• Health tech, wearables, biometric data, IoT, or device-connected software experience.
• HIPAA, SOC 2, GDPR, or other compliance-aware engineering experience.
• Austin, San Antonio, or broader Texas location.
• Strong science, engineering, computer science, or systems-oriented background.

• You learn the existing platform quickly and start shipping useful work.
• You can own well-scoped full-stack, API, SDK, backend, or data-pipeline tasks from definition through deployment.
• You ask good questions, communicate tradeoffs, and avoid getting stuck quietly.
• You write code that is simple, testable, and maintainable.
• You grow quickly with mentorship while still taking real ownership.
• You bring curiosity about AI-enabled engineering without needing to be a pure AI researcher.

This is a full-time role with a distributed U.S. team. Austin / San Antonio is preferred, but the engineering team is already distributed, so location is helpful rather than mandatory.

The posted salary range is $90,000-$130,000 base salary, with additional flexibility for exceptional profiles. Final compensation depends on experience, skill level, technical assessment performance, and fit for the role.

Employment decisions are based on qualifications, experience, business needs, and role-related requirements. The company does not discriminate based on protected status. Urrly reviews applications against job-related factors such as skills, certifications, and experience.

Apply now and get a response within 24 hours.