Junior / Mid-Level Full-Stack Platform Engineer

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.

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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.

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.