DevOps Engineer

About LILT

AI is changing how the world communicates — and LILT is leading that transformation.

We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.

At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.

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 is a CONTRACT position between 6-12 months in length. Possibly more. 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 3 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

Our Story

Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born.

LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.

With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.

Our Tech

What sets our platform apart:

• Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent

• Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing

• 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation

• Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review

LILT in the News

• Featured in The Software Report’s Top 100 Software Companies!

• LILT makes it onto the Inc. 5000 List.

• LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.

• Check out all our news on our website.

Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy

At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.