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Lilt

AI-powered multilingual translation platform for enterprises

Senior DevOps Engineer

DevOps EngineeringConfirmed live in the last 24 hours
Full-timeWashington, DC, USA

About the Job

Requirements

  • At least 3 years of experience as a Linux System Administrator, DevOps Engineer, or in a similar position.
  • Solid understanding of Docker and hands-on experience with Kubernetes.
  • Strong knowledge of at least one scripting language, such as Python or Bash.
  • High proficiency with at least one configuration management or infrastructure-as-code tool; Terraform is preferred.
  • Experience with GCP services such as Compute Engine and shared VPC, or equivalent services from other vendors.
  • Expertise in monitoring, alerting, and maintaining high production availability.
  • Experience with CI/CD tools and concepts, such as GitHub Actions.
  • Must have and maintain an active TS/SCI security clearance with polygraph and satisfy other security-related requirements.
  • U.S. citizenship is a precondition of employment.

Responsibilities

  • Support technical operations in development and production systems.
  • Deliver infrastructure engineering projects to support company initiatives.
  • Collaborate with research and development teams to deliver software quickly and reliably.
  • Secure platform infrastructure and harden on-premise builds.
  • Work with engineering teams to set, measure, and achieve SLIs and SLOs for SLAs.
  • Execute the roadmap in sprints and adhere to SCRUM best practices.
  • Introduce and implement new technologies and best practices in information security, DevOps, and site reliability.
  • Support self-managed customers on-site.

Desired Qualifications

  • Terraform is preferred as a configuration management or infrastructure-as-code tool.

About the Company

Lilt

AI-powered multilingual translation platform for enterprises

Lilt provides an AI-powered translation platform for enterprises to manage multilingual content. It uses a Contextual AI Engine with a human-in-the-loop: AI translations are reviewed by professional linguists, and feedback helps the model improve. It supports 70+ languages and formats and integrates with 100+ enterprise systems, sold as a subscription SaaS (plus direct translation services). Its goal is to speed up high-volume translation while ensuring accuracy and consistency across global content.

Company size
501-1,000
Company stage
Series C
Total funding
$95.6M
Headquarters
San Francisco, CA
Founded
2015

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