Sr. UX Engineer
ScienceLogicSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data, AI Cloud, Lab Data ManagementIndustries
Requirements
Candidates must possess 10+ years of experience in companies delivering products for B2B or B2C customers, along with 5+ years of managing an engineering team and being responsible for a feature and infrastructure roadmap. They should demonstrate a proven ability to lead and mentor a team of engineers, fostering a collaborative and high-performing culture, and have extensive knowledge of UI performance optimization techniques, including lazy loading and asynchronous code execution. Advanced knowledge of front-end technologies such as React, HTML, CSS, JavaScript, and TypeScript is required, alongside experience with responsive design and cross-browser development. Furthermore, candidates must have a strong focus on UI testing using tools like Selenium and Storybook, coupled with product-mindedness and excellent communication skills, and experience with AWS or other cloud providers. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is also required.
Responsibilities
As a Team Lead UI Engineer at TetraScience, you will be responsible for leading and mentoring a team of engineers, fostering a collaborative and high-performing culture, and overseeing the development of user interfaces for B2B or B2C products. You will be expected to design and architect UI systems, ensuring optimal performance and security, and collaborating with the product team and customers to deliver simple-to-use interfaces. Additionally, you will be responsible for creating interfaces that adapt to different screen sizes and are compatible across various browsers, while also focusing on UI testing and quality assurance using automation tools. You will also advise on HR-related risk mitigation strategies.
Skills
UI performance optimization
Lazy loading
Asynchronous code execution
Efficient rendering strategies
Security practices
OAuth
CORS
Content Security
TetraScience
Cloud platform for scientific data management
About TetraScience
TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.
Key Metrics
Boston, MassachusettsHeadquarters
2019Year Founded
$113.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, Biotechnology, HealthcareIndustries
51-200Employees