Top Engineering Jobs

The Partner Solutions Lead at LogicMonitor focuses on ensuring superior implementations of the LogicMonitor platform by supporting partners through technical guidance, QA, and enhancing delivery standards.

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 complex Edwin implementations and integrations across observability, ITSM, and third-party platforms. Design advanced ITOps workflows, validate pre-sales solutions, mentor peers, create reusable delivery patterns, and provide structured feedback to Product and Engineering.

Maintain uptime for a SaaS observability platform by deploying production applications, securing environments, automating infrastructure and operational tasks (Python/Terraform/Kubernetes), collaborating with developers and senior engineers, producing runbooks/documentation, and developing AI-assisted automation workflows.

Leads multiple engineering teams responsible for highly scalable, reliable distributed systems and data platforms. Defines architecture and technical strategy for Java microservices, Kafka pipelines, data lakes, and cloud-native services. Owns reliability objectives, observability, disaster recovery, performance, capacity planning, and operational excellence. Partners across product, infrastructure, security, data, and SRE teams while recruiting and developing senior engineering leaders, improving developer productivity, and managing modernization, technical debt, and cloud costs.

Build intuitive, responsive frontend experiences for AI-driven observability: implement dashboards, real-time streaming views, design-system components, AI UX patterns, state management, API integration, testing, performance, and instrumentation while collaborating across product, design, backend, and SRE teams.

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.