Top Engineering Jobs

Maintain and scale LogicMonitor’s sales demo environments for proofs of concept, webinars, trials, and customer demonstrations. Support infrastructure configuration, deployment pipelines, GitOps updates, monitoring, alerting, security, access management, vulnerability remediation, incident response, performance optimization, and resource planning. Collaborate with Product, Development, Sales, and Solutions Engineering teams, while documenting procedures, creating runbooks, and improving automation and operational reliability.

Build and deploy customer-facing AI-powered solutions for LogicMonitor Edwin AI. Develop backend services, integrations, automations, and lightweight frontend experiences using Python, Java, JavaScript, TypeScript, and React. Implement APIs, telemetry pipelines, dashboards, cloud deployments, and observability workflows. Support prototypes, production rollouts, troubleshooting, and customer adoption while contributing reusable engineering patterns and product feedback.

Designs and maintains mission-critical backend services using Java and Python. Architects scalable, resilient distributed systems, APIs, microservices, and event-driven solutions for enterprise workloads. Develops ServiceNow integrations and conversational AI workflows, leads technical design and architecture reviews, mentors engineers, conducts code reviews, and collaborates with product, AI, and platform teams to deliver reliable enterprise software.

Deliver end-to-end LogicMonitor Professional Services implementations for new and existing customers. Lead discovery, design, deployment, and configuration sessions; automate tasks using APIs and scripting; develop custom integrations; optimize monitoring strategies; provide technical expertise and product feedback; and collaborate with Customer Success, Support, Training, Product, Development, Monitoring Engineering, and Sales teams.

Lead complex Professional Services engagements delivering advanced LogicMonitor integrations and automations. Design, code, test, and deploy custom solutions using APIs and cloud services, troubleshoot issues, drive product improvements, mentor engineers, and collaborate with Product, Customer Success, and Support.

Lead migration of datacenter applications to AWS, build scalable cloud infrastructure, automate deployments, enable AI/ML workloads, ensure operational excellence and FedRamp security improvements, collaborate with developers, and maintain SaaS uptime with strong documentation and runbooks.