DevOps Engineer (Security Clearance required)

Washington D.C.

Lilt

Build a global experience that customers love with Lilt's translation services and Contextual AI technology.

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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!

U.S. citizenship is a precondition of employment.

The candidate is required to have and maintain an active TS/SCI security clearance with polygraph and to satisfy other security-related requirements.

Candidate can be located in the Annapolis Junction, MD area.

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.

This position is based out of our Washington D.C. hub where you will start as fully remote and then transition to hybrid once an office is opened.

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

Skills and Experience

The candidate is required to have and maintain an active TS/SCI security clearance with polygraph and to satisfy other security-related requirements.

  • 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

Benefits

  • Compensation: Competitive salary with the opportunity to earn on-target earnings (OTE),  meaningful equity, 401(k) matching, and flexible time off plus company holidays.

  • Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, Lilt pays for basic life insurance, short-term disability, and long-term disability.

  • Paid parental leave is provided after 6 months.

  • Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle.

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. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – Lilt. 

At its core, Lilt has always been a machine learning company since its incorporation on March 6, 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, believing that this foundation was imperative to the future of enterprise translation.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: APIs AWS ChatGPT CI/CD Classification Data Analytics DevOps Docker Engineering GCP GPT Jenkins Kubernetes Linux LLMs Machine Learning MLOps NLP OKR Python Research Scrum Security Terraform

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Home office stipend Insurance Medical leave Parental leave

Region: North America
Country: United States

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