Senior DevOps Engineer, AI

LogicMonitor is seeking a highly skilled Senior DevOps Engineer to join their Edwin AI team. This role is crucial for driving innovation, reliability, and security across their cloud infrastructure. The company is an AI-first hybrid observability platform, providing complete visibility and actionable intelligence across on-premises, cloud, and edge environments, helping IT and business leaders optimize resources and deliver exceptional digital experiences. The ideal candidate will have hands-on experience managing multi-cloud environments, automating infrastructure, and implementing modern DevOps practices to improve system performance, scalability, and cost efficiency. LogicMonitor fosters a culture of trust, customer obsession, agility, and continuous improvement, and has been recognized as a Great Place To Work®.

Expand and manage application hosting across AWS and Google Cloud, ensuring performance, flexibility, and resilience. Develop and maintain Terraform or similar installers for Azure and GCP to fully automate infrastructure deployments. Design and implement AWS cost optimization strategies, including reserved instances, right-sizing, and resource efficiency initiatives. Strengthen infrastructure security with robust access controls, encryption, monitoring, and alerting frameworks. Build and enhance monitoring platforms with Grafana dashboards and Prometheus alerts for real-time performance insights and proactive issue resolution. Implement Role-Based Access Control (RBAC) and optimize Ingress controllers (Traefik or similar) for enhanced security and delivery resilience. Create Python and Bash scripts to automate repetitive tasks, streamline workflows, and improve operational efficiency.

4+ years of experience in DevOps or similar roles Proven experience with AWS (preferred), and GCP in production environments. Strong expertise in Infrastructure as Code practices. Solid knowledge of Kubernetes (EKS), container orchestration, and cluster security. Hands-on experience with Grafana, Prometheus, and alerting/monitoring systems. Understanding of network connectivity over the private link endpoint, VPC, cross-account vpc connectivity. Experience in deploying automated Canary and Integration testing pipelines, CI/CD pipeline. Experience exposing internal self-hosted services like LangFuse via WebUI using Traefik or Ingress controller. Experience in deployment of LLM related solutions that require MCP, LangFuse, Airflow, GraphDB, VectorDB, Redis. Experience working with developers on on-demand JIT access to Prod clusters with tools like Teleport. Strong background in cloud security, access management, and encryption. Proficiency in Python and Bash scripting for automation.