Clipboard

Software Engineer - Applied Science

Clipboard1 months ago
Location

U.S. (Remote)

Workplace

Remote

Type

Full Time

Salary

USD 180,000 – 400,000

Level

Mid

Role

Backend Engineer

Posted

May 26, 2026

Full TimeRemoteMid

The role

Summary

Join Clipboard's Applied Science team as a Software Engineer to build quantitative systems powering our healthcare marketplace. This role combines software engineering expertise with data science and marketplace economics knowledge, focusing on pricing algorithms, auction mechanisms, ML infrastructure, and core business metrics. You'll work across the full stack using TypeScript, React, Node/NestJS, MongoDB, and Postgres while partnering with product teams to solve complex problems at scale.

What you'll do

Design and Implement Pricing Algorithms: Architect and develop sophisticated pricing algorithms and dynamic auction mechanisms that optimize marketplace efficiency, ensure competitive pricing for healthcare staffing, and maximize value capture while maintaining platform equilibrium across supply and demand.
Build Marketplace Metrics Infrastructure: Own the end-to-end development of shared marketplace metrics systems, including automated variance detection, real-time notification systems, and alerting frameworks that provide critical business intelligence to leadership and product teams.
Develop Causal Analytics and Experimentation Frameworks: Build robust causal modeling systems, A/B testing infrastructure, and analytical investigation tools that enable data-driven decision-making and help teams understand root causes behind key performance indicators and marketplace dynamics.
Partner on ML Pipeline Development: Collaborate with platform and data teams to develop, deploy, and maintain machine learning pipelines, rules engines, and predictive models that power core marketplace functionality and improve matching efficiency between healthcare professionals and facilities.
Solve End-to-End System Architecture Challenges: Take ownership of complex architectural problems across the full technology stack, from database optimization and backend scalability to frontend performance and real-time data synchronization, ensuring systems handle millions of transactions reliably.
Conduct Data-Driven Analysis and Insights: Deeply investigate marketplace metrics and KPIs, dig into data to identify trends and anomalies, reason through cause-and-effect relationships, and translate analytical findings into actionable product recommendations and engineering solutions.

What we look for

Technical

Full-Stack Development ProficiencyDemonstrated experience building complete systems from frontend to backend, comfortable working across multiple layers of the technology stack including database design, API development, and user-facing interfaces.
Backend Systems DesignStrong expertise in designing scalable, reliable backend systems capable of handling high transaction volumes, with experience in distributed systems, caching strategies, database optimization, and performance tuning.
Data Analysis and SQL ExpertiseProficiency writing complex SQL queries, analyzing large datasets, understanding query performance, and extracting meaningful insights from data. Comfortable translating business questions into analytical queries and interpreting results.
Algorithms and Quantitative ReasoningStrong foundation in algorithmic thinking, mathematical modeling, and quantitative problem-solving. Ability to reason about optimization problems, auction theory, pricing mechanics, and marketplace economics.
TypeScript and Node.js DevelopmentProfessional experience with TypeScript for type-safe development, Node.js runtime, and modern backend frameworks. Familiarity with NestJS patterns for building scalable applications is highly valuable.
Database TechnologiesWorking knowledge of both relational databases (PostgreSQL) and NoSQL solutions (MongoDB), understanding trade-offs between different data models, indexing strategies, and when to apply each technology.

Education

Bachelor's Degree in Computer Science or Related FieldFormal education in Computer Science, Engineering, Mathematics, or related discipline providing strong foundational knowledge in algorithms, data structures, and systems design.
Advanced Mathematics or Statistics KnowledgeUnderstanding of statistics, probability, linear algebra, or optimization theory is valuable for working on pricing algorithms, causal modeling, and quantitative systems.

Experience

Software Engineering Background3-7 years of professional software engineering experience building production systems, with demonstrated ability to take projects from design through implementation and deployment at scale.
Marketplace or Platform Economics ExperiencePrior experience working with marketplace dynamics, two-sided platforms, pricing mechanisms, or platform economics. Understanding of how marketplaces balance supply and demand is a significant advantage.
Data Science or Analytics IntegrationExperience building systems that integrate machine learning models, working with analytics teams, or developing features that rely on data-driven insights and statistical analysis.
Remote-First CollaborationProven success working in distributed, asynchronous-first remote teams, demonstrating strong written communication skills, self-motivation, and ability to unblock independently.

Skills

Required skills

TypeScriptProfessional proficiency with TypeScript for type-safe, maintainable backend and full-stack development with modern language features and strict typing.
Node.js and Backend FrameworksStrong experience with Node.js runtime and backend frameworks, particularly NestJS for building scalable, maintainable APIs and services with clear architectural patterns.
SQL and Database DesignExpert-level SQL proficiency including complex queries, query optimization, schema design, and understanding of relational database concepts essential for building data-driven systems.
PostgreSQL and MongoDBWorking knowledge of both PostgreSQL (relational, ACID-compliant) and MongoDB (document-oriented, flexible schema), understanding when and how to apply each technology effectively.
Problem-Solving and DebuggingSystematic approach to identifying root causes, debugging complex issues, profiling performance bottlenecks, and implementing robust solutions with proper error handling and monitoring.
System Design and ArchitectureAbility to design systems for scalability, reliability, and maintainability, considering trade-offs between different architectural approaches and making decisions based on requirements and constraints.

Nice to have

React and Frontend DevelopmentExperience with React for building user interfaces and understanding frontend architecture, particularly valuable given the team's full-stack ownership model and use of React in production.
Pricing Algorithm and Auction Theory KnowledgeFamiliarity with dynamic pricing models, auction mechanisms, bidding strategies, or marketplace matching algorithms demonstrates domain knowledge highly relevant to core team responsibilities.
Machine Learning and ML OpsExperience integrating machine learning models into production systems, working with data scientists, deploying ML pipelines, or building infrastructure to support ML workflows at scale.
Marketplace or Two-Sided Platform ExperiencePrevious work on marketplace platforms, two-sided networks, or systems requiring balancing multiple stakeholders' incentives provides valuable context for understanding Clipboard's business model.
Experimentation and Statistical AnalysisExperience designing and implementing A/B tests, building experiment frameworks, conducting statistical analysis, or contributing to data-driven product decisions at a product or engineering level.
Performance Optimization and ScalabilityTrack record of optimizing system performance, reducing latency, improving throughput, implementing caching strategies, or scaling systems to handle significantly increased load and data volume.
Healthcare or Mission-Driven Industry ExperiencePrior experience in healthcare technology, staffing platforms, or mission-driven organizations provides context for understanding Clipboard's domain and user needs in healthcare staffing.

Compensation & benefits

Salary

USD 180,000 – 400,000 (annual)

Stock options

Available

Benefits

Remote-First Work Environment

Fully distributed team with intentionally designed asynchronous workflows, giving you flexibility to work from anywhere while maintaining strong collaboration and clear communication practices.

Equity Compensation

Participate in company growth through stock options as a Y Combinator-backed, profitable company with significant runway and expansion opportunities in healthcare staffing.

Health Insurance Coverage

Comprehensive medical, dental, and vision insurance plans covering employees and eligible dependents with company contributions to premium costs.

Professional Development and Learning

Access to educational resources, conference attendance budgets, and mentorship from experienced engineers working on challenging quantitative and systems problems.

Flexible Time Off and Work-Life Balance

Unlimited or generous paid time off policy supporting personal well-being, family time, and prevention of burnout in a mission-driven organization.

Impact on Healthcare Access

Direct contribution to Clipboard's mission of uplifting communities through healthcare workforce solutions, enabling hundreds of thousands of professionals to achieve financial stability while improving patient care.

Growth Opportunities in Expanding Markets

Join during a period of rapid expansion beyond long-term care into home health, hospitals, and additional verticals, with opportunities to grow expertise and take on expanding responsibilities.

Collaborative Team Culture

Work with talented engineers, data scientists, and product managers who value analytical rigor, clear communication, and shipping meaningful solutions to complex problems.

Interview process

  1. 1
    Take-Home Pull Request Assessment — Complete a 60-90 minute asynchronous coding challenge that mirrors real Clipboard work, focusing on practical engineering skills and code quality. Followed by a live discussion with the engineering team to dive deeper into your solution, discuss design choices, and explore your problem-solving approach.
  2. 2
    Second Take-Home Technical Evaluation — Complete a second asynchronous assessment choosing between a technical design exercise or additional pull request challenge. This evaluates your architecture thinking, ability to design systems for scale, or demonstrates consistency in engineering quality. Followed by another live follow-up discussion.
  3. 3
    Hiring Manager Interview — Conversation with the Applied Science team's hiring manager to discuss your background, experience with marketplace systems or quantitative problems, career goals, and how you approach complex engineering challenges. Opportunity to ask detailed questions about the team, projects, and growth trajectory.
  4. 4
    Culture and Values Screening — Final conversation with Clipboard's Head of People focused on alignment with company values, communication style in remote environments, collaboration approach, and how you thrive in mission-driven organizations. Ensures mutual fit and long-term success.
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Clipboard

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Clipboard Health operates as a marketplace connecting healthcare professionals with facilities for per diem and contract work. The company aims to revolutionize healthcare staffing by providing a flexible and efficient platform that empowers healthcare professionals with autonomy and offers facilities reliable staffing solutions. Its mission is to improve patient care across the industry by addressing critical staffing shortages. Clipboard Health serves various regions within the United States.

San Francisco, USAFounded 2016clipboardhealth.com/careers

Tech Stack

Languages
TypeScriptJavaScriptSQL
Frameworks
NestJSReactIonic
Databases
PostgreSQLMongoDB
Tools
Git and Version ControlDocker and ContainerizationCI/CD PipelinesMonitoring and Observability Tools
Other
Data Analysis and VisualizationExperimentation FrameworksRules Engine and ML Serving
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