初级/中级全栈平台工程师
Junior / Mid-Level Full-Stack Platform Engineer
构建用于生物识别健康技术的全栈平台，该技术应用于真实研究、医疗保健、劳动力安全和企业环境。
初级/中级全栈平台工程师
地点：美国远程/分布式办公；德克萨斯州奥斯汀/圣安东尼奥优先
公司：保密的生物识别健康技术公司
薪资：9万美元-13万美元基础薪资，优秀人才有额外灵活性
机会
我们正在为一家快速发展的生物识别健康技术公司招聘一名初级/中级全栈平台工程师，该公司正在围绕可穿戴生理数据、API、SDK和AI驱动的基础设施构建生产系统。
这是一个需要动手实践的职位，适合工程职业生涯早期的人员，要求已有真实的全栈经验并具备扎实的基础知识。你不需要是资深工程师，但需要思维敏捷、务实、好奇，并能在资深技术领导的指导下交付有用的软件。
合适的人选将帮助构建支持更广泛生物识别数据平台的后端服务、前端界面、API、SDK和数据管道。你将在一个精简的初创环境中工作，速度、责任感、清晰的沟通和良好的工程判断至关重要。
为什么人们会加入
- 在生物识别健康技术领域进行真正的平台工作，而非玩具式的内部工具。
- 直接接触AI驱动的基础设施、数据管道、API和SDK。
- 在仍能独立承担重要开发工作的前提下，获得资深技术领导的指导。
- 一个精简的初创环境，让早期职业工程师快速成长。
- 远程/分布式办公，奥斯汀/圣安东尼奥优先，但非必需。
- 对于合适的早期职业或初级/中级人才，提供9万美元-13万美元的基础薪资，优秀人才有额外灵活性。
你将负责
- 在前端、后端、API、SDK和数据系统中构建和改进全栈平台功能。
- 编写基于Python或Go的服务，并在面向产品的界面上使用JavaScript或TypeScript。
- 支持连接生物识别数据、企业系统和AI基础设施的数据管道和平台流程。
- 与高级工程师合作进行架构设计、实现、部署和技术权衡。
- 在符合合规要求的环境中交付干净、可靠的代码。
- 调试接近生产的故障，分析数据流，并持续改进平台。
- 快速推进项目，不等待
查看英文原文
Build the full-stack platform behind biometric health technology used in real research, healthcare, workforce safety, and enterprise environments.
Junior / Mid-Level Full-Stack Platform Engineer
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
Opportunity
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.
Why People Lean In
- 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.
What You Will Do
- 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.
What You Bring
- 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.
Nice To Have
- 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.
What Success Looks Like
- 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.
Additional Details
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.
Equal Opportunity Statement
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
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Salary: $90,000 – $130,000 / yearOriginally posted on Himalayas