Senior Frontend Engineer, Decision Science
- Other
- California
- $165 K - $195 K
- Full Time
About the Job:
We are seeking an outstanding Frontend Engineer to significantly influence the integration of data products into businesses' software in the future. We are incorporating data into every aspect of what LaunchDarkly offers in addition to our unparalleled feature management platform.
These data products will be utilized by thousands of companies, from startups to Fortune 100 businesses.
We primarily employ technologies like React, TypeScript, and Storybook. If you are enthusiastic about joining such a poly-functional team and revolutionizing how companies utilize data for decision-making, then consider joining the Product Analytics team at LaunchDarkly.
Develop and enhance our data analysis products and data visualization libraries (e.g., D3.js)
Cooperate with frontend engineers to implement user-centric features
Continuously improve product features for some of the world's largest corporations
Write necessary unit, integration, and load tests
Proactively participate in code reviews
Compose and review technical proposals
Refine engineering standards, utilities, and procedures
Qualifications:
Familiarity with fundamental computer science concepts such as data structures, distributed systems, concurrency, and threading
A commitment to function in a communicative and collaborative environment
You produce code that can be easily interpreted by others, with a focus on maintainability
You maintain high standards for yourself and others when dealing with production systems
You appreciate high quality code, automatic testing, and other best engineering practices
Pay:
Anticipated pay range for a Level P4 in the San Francisco/Bay Area is $165,000 - $195,000*
*Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits are included in addition to the .
At LaunchDarkly, we operate with a high level of trust and transparency; we are pleased to disclose the pay range for our open roles to align better with your needs. Exact compensation may vary according to skill, experience, degree level, and location.