Backend Engineer for Enterprise Translation Solutions

4 days ago


Boston, Massachusetts, United States Lilt Full time
Job Overview
As a Senior Backend Engineer at Lilt, you will play a key role in developing and maintaining our core platform, enabling customers to deliver multilingual experiences.

Salary and Benefits
We offer a competitive salary of $175,000 per year, plus benefits including medical, dental, and vision insurance, 401(k) matching, and flexible time off. Additionally, we provide a monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize their benefits.

About Us
Lilt is the leading AI solution for enterprise translations, with a mission to make information accessible to everyone. Our stack includes our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback, enabling global organizations to adopt a true AI translation strategy. Our technology is used by innovative companies like Intel, ASICS, WalkMe, and Canva to deliver multilingual digital customer experiences at scale.

Job Description
We are seeking an experienced Backend Engineer to collaborate with our engineering and infrastructure teams to design, build, and improve our platform's backend systems. You will work on implementing new features to drive growth, partnering with product and engineering teams to help decompose huge business requirements into smaller deliverables. Additionally, you will actively mentor peers and Lilt's community on advanced technical issues, helping them grow their careers.

Required Skills and Qualifications
To be successful in this role, you will need:
• 5+ years of software development experience with several general-purpose programming languages, including Java and Python
• 2+ years of experience leading a major software component
• Proven ability to drive large-scale engineering efforts to completion and demonstrated knowledge of industry trends and best practices for scaling cloud-based services
• Excellent written and verbal communication skills

Nice to Have
A strong background in Okapi framework and file filters such as XLIFF, XLIFF2, XML, JSON, Markdown, and TTX filters would be beneficial.
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