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LogicMonitor · 1 day ago

Senior DevOps Engineer - Edwin AI

San Francisco, CA

Full-time

Hybrid

Mid, Senior Level

$120K/yr - $200K/yr

4+ years exp

LogicMonitor is a company dedicated to fostering a culture of trust and customer obsession. They are seeking a highly skilled Senior DevOps Engineer to drive innovation, reliability, and security across their cloud infrastructure, focusing on multi-cloud environments and automation of infrastructure.

Artificial Intelligence (AI)Cloud InfrastructureDevOpsInformation TechnologyIT InfrastructureSaaS

No H1B

Responsibilities

Expand and manage application hosting across AWS, Azure, 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

Qualification

AWSAzureGCPInfrastructure as CodeKubernetesGrafanaPrometheusPythonBash scriptingCloud securityCost optimizationMonitoring systemsAccess management

Required

4+ years of experience in DevOps or similar roles

Proven experience with AWS, Azure, 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, how to make things accessible internally, externally, etc

Experience in deploying automated Canary and Integration testing pipelines, CI/CD pipeline etc

Exposing internal self-hosted services like LangFuse via WebUI for internal users using Traefik or Ingress controller or any other tool

Experience in deployment of LLM related solutions that require MCP, LangFuse, Airflow, GraphDB, VectorDB, Redis etc

Experience working with developers on on-demand JIT access to Prod clusters to troubleshoot/debug issues with tools like Teleport or some other

Strong background in cloud security, access management, and encryption

Proficiency in Python and Bash scripting for automation