Senior Frontend Engineer

Americas

Apply with AI Apply

$180,000 – $230,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Observability, Data Reliability, Enterprise SoftwareIndustries

Requirements

Candidates should possess 5+ years of experience delivering production-grade frontend code, conducting code reviews, and contributing to full-stack design and architecture. A minimum of 2 years of recent React experience is required, along with strong Javascript skills and experience developing with the React framework on a large, complex codebase. Experience with testing frameworks such as react-testing-library, playwright, or cypress is necessary. Proven experience in tech-leading critical projects or initiatives within a team and organization is also required. Candidates must be product-minded, user-driven, pragmatic, biased towards action, and able to see the bigger picture and reason about prioritization and scope.

Responsibilities

The Senior Frontend Engineer will take significant ownership in building Monte Carlo's cloud application, involving end-to-end development from customer requirements and designs to full production implementation. This role includes collaborating with the product team and stakeholders to identify and deliver value to customers. Responsibilities also involve laying a strong web foundation for other engineers through reusable components, applying design patterns and principles, and increasing test coverage. The engineer will optimize UI and application code for performance, quality, and maintainability, navigate ambiguity, and creatively solve problems from the ground up.

Skills

Frontend Development

Cloud Application Development

UI Development

Web Foundation

Reusable Components

Design Patterns

Test Coverage

Performance Optimization

Problem Solving

Creative Solutions

Monte Carlo Data

Provides end-to-end data observability solutions

About Monte Carlo Data

Monte Carlo Data helps businesses ensure the reliability of their data through end-to-end data observability, allowing real-time monitoring of data freshness, volume, schema, and quality. Their platform includes tools for incident detection and resolution, which assist analysts in addressing data quality issues efficiently. By integrating with communication tools like Slack and JIRA, it fits seamlessly into existing data management processes. The goal is to help businesses avoid the costs associated with bad data, making it suitable for data-dependent companies across various industries.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$229.6MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

201-500Employees