Description:

Lilt is the leading AI solution for enterprise translations, focusing on business outcomes through its Contextual AI Engine, Connector APIs, and Human Adaptive Feedback.
The company serves global organizations like Intel, ASICS, WalkMe, and Canva, enabling them to deliver multilingual digital customer experiences at scale.
The Engineering Team at Lilt works on a high-performance, large-scale language translation system, prioritizing usability and backend AI systems.
The Staff DevOps Engineer will build highly reliable software systems, focusing on infrastructure and operations needs, including bare-metal Linux deployments and commercial deployments in GCP and AWS.
The role involves improving multi-region configurations for low latency and collaborating with the engineering team to support new and ongoing products.
The position is fully remote, and work authorization in the candidate's area is required.

Requirements:

A minimum of 6 years of experience as a Linux System Administrator, DevOps Engineer, or in a similar position is required.
Strong knowledge of at least one scripting language, such as Python or Bash, is necessary.
High proficiency with at least one configuration management/infrastructure as code (IaC) tool, preferably Terraform, is essential.
Experience with GCP services, including Compute Engine, shared VPC, and data analytics, or equivalents from other vendors is required.
A solid understanding of Docker and hands-on experience with orchestration frameworks like Kubernetes or Swarm is necessary.
Expertise in monitoring, alerting, and maintaining high production availability is required.
Experience with CI/CD tools and concepts, such as Jenkins, is necessary.
Experience in DevSecOps best practices, MLOps, GCP Landzone, and/or database administration is preferred but not required.

The position offers the opportunity to work in a fully remote environment.
Employees will have the chance to collaborate with a global team located in various cities, including San Francisco, Indianapolis, London, and Berlin.
The role provides the opportunity to work with cutting-edge technology in the field of AI and natural language processing.
Employees will be involved in building and implementing new technologies and best practices in InfoSec, DevOps, and Site Reliability.
The position may include technical leadership responsibilities, allowing for professional growth and development.