Job Details

About LangChain

At LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.

About LangChain

At LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.

Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more.

About The Role -

In person in 5 days/week in San Francisco, CA or New York, NY

We are seeking an Infrastructure Engineer with deep expertise in Kubernetes, cloud platforms, and modern deployment technologies to build and maintain the infrastructure that powers AI applications in our cloud and customer environments. The ideal candidate will have experience in architecture design, system reliability, and infrastructure automation to ensure our platform and customer platforms operate at scale with high availability and security.

Responsibilities

• Design, build, and maintain scalable infrastructure solutions using Kubernetes, Helm, and Docker across multiple cloud environments (AWS, Azure, GCP)
• Develop and optimize CI/CD pipelines, infrastructure as code, and deployment automation strategies
• Ensure platform reliability, security, and performance through monitoring, alerting, and proactive maintenance
• Build solutions to deploy and monitor our applications in customer environments
• Architect solutions for high availability, disaster recovery, and efficient resource utilization
• Collaborate with engineering teams to support deployment of our applications in customer environments when needed
• Implement security best practices and compliance requirements across our infrastructure
• Maintain and improve our Helm charts, Docker images, and deployment configurations
• Drive infrastructure cost optimization and resource efficiency initiatives
• Create comprehensive documentation for infrastructure architecture, runbooks, and operational procedures
• Stay current with emerging technologies and best practices in cloud-native infrastructure
  
  

• At least 3 years of experience as an Infrastructure Engineer, DevOps Engineer, or similar role with focus on Kubernetes and cloud platforms
• Deep expertise in Kubernetes, Helm, Docker, and container orchestration
• Strong experience with major cloud platforms (AWS, Azure, GCP) and their managed services
• Proficiency in infrastructure as code tools (Terraform, CloudFormation, etc.)
• Experience with CI/CD pipelines and automation tools
• Strong understanding of networking, security, and distributed systems
• Excellent problem-solving skills and ability to debug complex infrastructure issues
• Strong communication skills for cross-functional collaboration with other engineers and customers
• Bachelor's degree in Computer Science or related field, or equivalent experience
  
  

• Competitive salary and equity stake for role and stage of company. Commensurate with experience.
• Annual salary range: $135,000-$185,000 USD
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Internet

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