Role Description
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.
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Build and improve full-stack platform features across frontend, backend, APIs, SDKs, and data systems.
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Write Python- or Go-backed services and work with JavaScript or TypeScript on product-facing surfaces.
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Support data pipelines and platform workflows that connect biometric data, enterprise systems, and AI-facing infrastructure.
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Collaborate with senior engineers on architecture, implementation, deployment, and technical tradeoffs.
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Ship clean, reliable code in a compliance-aware environment.
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Debug production-adjacent issues, reason through data flow, and improve the platform over time.
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Move quickly without waiting for every detail to be prescribed.
Qualifications
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Hands-on full-stack software engineering experience from a professional role, internship, startup, open-source work, or substantial shipped project.
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Strong Python or Go skills.
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Experience building backend services, APIs, SDKs, or data pipelines.
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Practical frontend experience, especially JavaScript or TypeScript.
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Solid fundamentals in Git, testing, debugging, deployment, interfaces, and data flow.
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Comfort working in a lean startup where priorities move quickly.
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Ability to communicate tradeoffs clearly and learn from senior engineers.
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Willingness to complete a live coding assessment.
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Recent grads can be a fit when they have unusually strong full-stack project, internship, startup, or open-source evidence.
Requirements
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Depth across both Python and Go.
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AI/ML, AI tooling, data infrastructure, or model-facing platform exposure.
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Health tech, wearables, biometric data, IoT, or device-connected software experience.
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HIPAA, SOC 2, GDPR, or other compliance-aware engineering experience.
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Austin, San Antonio, or broader Texas location.
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Strong science, engineering, computer science, or systems-oriented background.
Benefits
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Real platform work in biometric health technology, not toy internal tools.
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Direct exposure to AI-forward infrastructure, data pipelines, APIs, and SDKs.
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Mentorship from senior technical leaders while still owning meaningful build work.
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A lean startup environment where strong early-career engineers can grow quickly.
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Remote/distributed setup, with Austin / San Antonio preferred but not required.
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$90,000-$130,000 base salary for the right early-career or junior/mid-level profile, with additional flexibility for exceptional profiles.
Company Description
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.
