Senior DevOps Engineer

At Lightrun, we’re closing the gap between AI-generated code and real-world runtime behavior. Our platform restores the critical verification loop in enterprise environments by enabling safe, real-time observability - logs, metrics, and traces injected on demand into live systems - so engineers and AI agents can validate assumptions where code actually runs.Backed by Accel and Insight Partners, and trusted by leaders like Microsoft, Salesforce, Citi, and SAP, Lightrun is building the runtime foundation for the next era of agentic software development.

Join us to build cutting-edge systems, collaborate with world-class engineers, and shape how autonomous software is built 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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