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Software Engineer at UL Solutions External Career Site

Suzhou City, Jiangsu, China -

Full Time

Start Date

Immediate

Expiry Date

03 Sep, 26

Salary

0.0

Posted On

05 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

JavaScript, TypeScript, Python, Vue.js, React.js, Angular, Django, Flask, FastAPI, Azure, Docker, Git, GitHub, Linux, Azure DevOps, Jira

Industry

Professional Services

Description

The full-stack software engineering role will be contributing towards accelerating the automation and digitization efforts of the laboratory operation for UL Solutions. The candidate will be a part of a multidisciplinary team of software engineers, data scientists, architects, and other engineers working toward developing digital tools and automation solutions for the lab. The ideal candidate will have a proven track record of developing web applications and contributing towards enterprise digitization efforts. In this role, you will collaborate closely with users, product teams, technology teams, and management. This position requires a proactive and innovative approach to problem-solving and a commitment to continuous improvement. Our primary technology stack uses JavaScript/TypeScript and Python hosted in Azure. A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers’ products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.

Responsibilities

Develop full-stack web applications and digital tools to automate and digitize laboratory operations. Collaborate with multidisciplinary teams, including data scientists and architects, to implement enterprise digitization efforts.