Software Engineer - Full Stack

Tiposi; Milpitas (CA); On-site; USD 33,480 - 66,960; Full time

Benefits offered by this job

Health insurance (medical, dental, vision)

Performance bonuses

Job summary

A Silicon Valley medical device startup is seeking a Full Stack Software Engineer to design and maintain backend services for medical AI applications. The ideal candidate will have at least 2 years of experience, with strong skills in Python and Go. This role offers a contract phase of $3,000-$6,000/month and upon full-time conversion, a salary range of $80,000-$120,000 plus equity and benefits such as health insurance and performance bonuses.

Qualifications

• At least 2 years of full stack engineering experience.
• Experience building data pipelines and distributed systems.
• Solid understanding of data modeling, data validation, and ETL workflows.

Responsibilities

• Design, develop, and maintain backend services for medical AI applications.
• Build scalable data ingestion pipelines for hospital data.
• Collaborate with machine learning engineers to deliver clean datasets.

Skills

Full stack engineering experience

Python fundamentals

Go fundamentals

PostgreSQL expertise

Data pipelines

Authentication and authorization patterns

Docker and containerized workflows

Education

Bachelor's Degree or MS in Computer Science or related technical discipline

Tools

Docker

AWS

Redis

Job description

Tiposi is a Silicon Valley medical device startup developing AI-powered, microwave-based brain imaging technology — built to detect strokes and expand access to brain health screening worldwide. We combine RF innovation, custom ASICs, and machine learning to make imaging faster, safer, and more accessible than ever before.

Software Engineer - Full Stack

Responsibilities

• Design, develop, and maintain backend services and data pipelines for medical AI applications
• Build scalable data ingestion pipelines for hospital data and device-generated sensor data
• Preprocess and post-process data to support machine learning model training and inference
• Collaborate closely with machine learning engineers to deliver clean, reliable datasets for AI models
• Ensure data quality, consistency, and traceability throughout the entire data lifecycle
• Monitor, debug, and optimize pipeline performance and system reliability
• Participate in system architecture design and technical decision-making
• Write clear technical documentation and support audits or compliance reviews when required

Requirements

• At least 2 years of full stack engineering experience
• Bachelor's Degree or MS in Computer Science or related technical discipline, or equivalent practical experience
• Experience building data pipelines and distributed systems
• Strong Python and Go fundamentals
• Authentication and authorization patterns (OAuth, JWT, sessions)
• PostgreSQL expertise (query optimization, indexing, migrations)
• Experience with Celery, Redis, and asynchronous task orchestration
• Docker and containerized development workflows
• Cloud experience (AWS or equivalent)
• Solid understanding of data modeling, data validation, and ETL workflows
• Experience working with structured and unstructured data
• Familiarity with cloud-based infrastructure and production deployments
• Experience with databases (SQL and/or NoSQL) and data storage systems
• Strong debugging, performance optimization, and system reliability skills

Preferred Programming Language

• Python
• Go
• TypeScript (React.js)
• Dart (Flutter)

Preferred Qualifications

• Experience in healthcare, medical devices, or health-tech startups
• Familiarity with AI/ML workflows and production model deployment
• Experience working with hospital systems or clinical data
• Knowledge of data security best practices in cloud environments

Compensation Structure

This role begins with a 3-6 month contract phase at $3,000-$6,000/month to establish mutual fit. Upon conversion to full-time employment, salary range is $80,000-$120,000 plus equity, based on experience. Full-time benefits include health insurance (medical, dental, vision) and performance bonuses.