DevOps Engineer II - 100% Remote

About the Company

LILT is an AI and machine learning company focused on making information accessible across languages. Founded in 2015, the company combines machine translation, large language models, agentic AI workflows, and human-in-the-loop expertise to deliver accurate, brand-consistent translations. Its platform serves global enterprises and organizations, including Intel, Canva, the U.S. Department of Defense, and the U.S. Air Force.

About the Role

LILT is seeking a DevOps Engineer to build, maintain, and improve reliable software systems and infrastructure. This role involves supporting development and production environments, managing bare-metal Linux deployments, and working with cloud platforms including Google Cloud Platform (GCP) and Amazon Web Services (AWS).

You will help improve the platform’s multi-region infrastructure to support low-latency performance worldwide, strengthen infrastructure security, and collaborate with engineering and research teams to deliver reliable software. The position is based out of LILT’s Washington, D.C. hub and includes a combination of remote work and on-site customer engagement.

Key Responsibilities

• Support technical operations across development and production systems.
• Deliver infrastructure engineering projects that support company initiatives.
• Collaborate with research and development teams to deliver software quickly and reliably.
• Secure platform infrastructure and strengthen on-premises builds.
• Work with engineering teams to establish, measure, and achieve service-level indicators (SLIs) and objectives (SLOs) in support of service-level agreements (SLAs).
• Execute roadmap initiatives through sprints and follow Scrum practices.
• Introduce and implement technologies and best practices in information security, DevOps, and site reliability engineering.
• Provide on-site support to self-managed customers.
• Improve multi-region infrastructure configurations and support expansion into additional regions.

Required Qualifications

• At least 3 years of experience as a Linux System Administrator, DevOps Engineer, or in a similar role.
• Strong understanding of Docker and hands-on experience with Kubernetes.
• Proficiency in at least one scripting language, such as Python or Bash.
• Strong experience with a configuration management or infrastructure-as-code (IaC) tool, preferably Terraform.
• Experience with GCP services, including Compute Engine and Shared VPC, as well as data analytics services, or equivalent services from other cloud providers.
• Experience with monitoring, alerting, and maintaining high production availability.
• Experience with CI/CD tools and concepts, such as GitHub Actions.
• U.S. citizenship is required.
• Ability to obtain and maintain an active TS/SCI security clearance with polygraph and meet other applicable security requirements.

Security Clearance Requirements

• An active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with polygraph is required and must be maintained throughout employment. Candidates must also satisfy other security-related requirements.

Location & Work Arrangement

• Washington, D.C. hub.
• Combination of remote work and on-site customer engagement.
• On-site support for self-managed customers is required.

Compensation & Benefits

• Competitive salary with the opportunity to earn on-target earnings (OTE).
• Meaningful equity.
• 401(k) matching.
• Flexible time off and company holidays.
• Medical, dental, and vision insurance.
• Company-paid basic life insurance, short-term disability, and long-term disability coverage.
• Paid parental leave after six months of employment.

Equal Employment Opportunity & Hiring Process

LILT is an equal opportunity employer committed to fair and inclusive employment practices. Applicants are considered without discrimination based on protected characteristics under applicable local, state, and federal laws.

LILT may use AI and automated tools to assist with résumé screening, assessment scoring, and interview analysis. These tools support the evaluation process, but all final hiring decisions are made by people. Applicants may contact [email protected] with concerns, accommodation requests, or requests to opt out of AI use during the hiring process.

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