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Lightrun

Lightrun

Software Engineering
Tel Aviv-Yafo, Israel · Apple Valley, MN, USA
Posted on Jan 8, 2026

Lightrun is helping define the next era of AI-accelerated engineering by making AI adoption safe at scale. We give teams the ability to verify how AI-generated code behaves in real-world conditions, so they can ship faster without compromising reliability. This is how mission-critical systems stay operational, secure, and resilient as software velocity increases.

Founded in 2019, Lightrun is backed by Accel, Insight Partners, and Citi, and trusted by companies including Salesforce, Microsoft, SAP, and AT&T. Join us to help drive the market forward and shape how autonomous software is trusted in production.

We are looking for a strong Senior DevOps Engineer to join the hunt!

Responsibilities:

  • Actively participate in hands-on technical tasks, contributing to the development, deployment, and maintenance of our observability platform.
  • Design, implement, secure and maintain the infrastructure, CI/CD pipelines, and deployment processes to support the Lightrun platform on SaaS/ST/On-Prem deployments.
  • Take full end-to-end responsibility for all infrastructure related projects
  • Collaborate with the development, SE, QA, and product teams to ensure smooth integration, testing, and deployment of software releases.
  • Drive automation and scalability efforts to optimize system performance, reliability, and availability.
  • Continuously monitor and improve the observability, monitoring, and logging systems to ensure the stability and performance of the platform.
  • Stay up-to-date with the latest industry trends and technologies, and evaluate their potential impact and benefits for Lightrun.
  • Manage and maintain Lightrun environments across AWS and other public cloud providers

Qualifications:

  • 5+ years of experience in a DevOps role, with a strong background in infrastructure management, CI/CD methodologies, and automation.
  • Strong hands-on experience in both cloud and on-premise environments, such as AWS, Azure, GCP, and working with on-premise infrastructure.
  • Solid understanding of containerization technologies (e.g., Docker), Kubernetes, and related orchestration and deployment tools (e.g., Helm).
  • Proficiency in infrastructure management and deployment using cloud platforms and on-premise solutions.
  • Hands-on experience with GitOps workflows and tools like ArgoCD for managing Kubernetes deployments.
  • Experience with infrastructure as
  • code tools like Terraform or CloudFormation for both cloud and on-premise environments.
  • Proficiency in scripting languages like Python, JavaScript, Go or Bash.
  • Excellence knowledge of Linux based systems
  • Hands-on experience with monitoring and observability tools like Prometheus, Grafana, DataDog or ELK stack for both cloud and on-premise environments.
  • Familiarity with agile development practices and the ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

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