LILT in the News

• We were named to The Software Report’s fifth annual list of Software Companies! Click here to learn more and see the full list.

• LILT listed on the Inc. 5000 List for the first time.

• Check out all our news on our website. 

About Us

Lilt is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enable global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With Lilt, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale.

As a result, Lilt’s AI technology foundation is similar to ChatGPT and Google Translate, before our patented Contextual AI Engine, connector-first approach, and human-adapted feedback.

Our team is located globally in San Francisco, Indianapolis, London, and Berlin with hubs located in Washington D.C., New York City, and Boston. You can learn more about us and what it’s like to work here on our Careers page!

The Engineering Team at LILT

Lilt is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas.

What You’ll Do

Lilt is seeking a world-class devops engineer to build highly reliable software systems at Lilt. Your job will be to apply your software talents to our infrastructure and operations needs, including bare-metal Linux deployments and commercial deployments in GCP and AWS. Our system requires low latency worldwide, so you’ll continuously improve our multi-region configuration, and help us expand into new regions. You will collaborate with the rest of the engineering team to support new and on-going products. The person in this role may have technical leadership responsibility depending of experience and will collaborate to build the roadmap of the DevOps organization.

This position Fully remote. Please note, work authorization in your area is a must.

Key Responsibilities:

• Support technical operations in our development and production systems

• Deliver infrastructure engineering projects to support company initiatives

• Collaborate with our research and development teams to deliver software fast and reliably

• Secure our platform infrastructure and harden our on-premise builds

• Ensure high uptime and fast, multi-regional server and DB performance for the lilt.com production system

• Work with engineering teams to set, measure, and reach SLIs and SLOs for SLAs

• Contribute to infrastructure and engineering roadmap planning, set and attain quarterly OKRs

• Execute on the roadmap in sprints, and adhere to SCRUM best practices

• Introduce and implement new technologies and best practices in InfoSec, DevOps and Site Reliability

• Support our self-managed customers on-site

• Technically lead a group of subject-matter experts
  

Skills and Experience:

• Minimum 6 years experience as Linux System Administrator, DevOps Engineer or similar position.

• Strong knowledge of at least one scripting language (e.g. Python, Bash).

• High proficiency with at least one configuration management/infrastructure as code (IaC) tool, preferably Terraform.

• Experience with GCP services such as Compute Engine, shared VPC, and data analytics or equivalents from other vendors.

• Solid understanding of Docker and hands-on experience with orchestration frameworks like Kubernetes or Swarm.

• Expertise in monitoring/alerting and maintaining high production availability

• Experience with CI/CD tools and concepts, such as Jenkins 

• Preferred, but not required: Experience in DevSecOps best practices, MLOps, GCP Landzone and/or DB administration