Senior Forward Deployed Engineer

Join LogicMonitor as a Senior Forward Deployed Engineer, where you'll solve real customer problems through hands-on engineering and AI-driven solutions. You'll work closely with senior engineers, product teams, and customers to design, build, and deploy tailored solutions that extend LogicMonitor Edwin AI. This customer-facing engineering role combines software engineering, observability, and AI deployment, with responsibilities including building and maintaining backend services, implementing integrations, and supporting production rollouts.

• Collaborer directement avec des clients stratégiques pour construire des applications de production, expédier des artefacts techniques utilisés dans les flux de travail de production et codifier des modèles de déploiement répétables.
• Construire et maintenir des services backend, des intégrations, des automatisations et des expériences full stack légères en utilisant Python et JavaScript ou TypeScript.
• Définir ou affiner des tableaux de bord, des alertes, des limites de service et des flux de travail de fiabilité afin que les équipes clientes puissent exploiter ce qui est déployé.
• Familiarity with OpenTelemetry concepts and telemetry pipelines, including how data is instrumented, collected, and routed across systems
• Working knowledge of modern cloud and deployment tooling such as AWS, Azure, or GCP, containers, Kubernetes, CI or CD, and infrastructure automation tools
• Strong programming background in Java and Python, including microservice design
• Experience building streaming data pipelines (Kafka / Spark or any similar technology)
• Clear written and verbal communication skills, with the ability to explain technical tradeoffs to engineers, product teams, and customer stakeholders
• Practical exposure to AI application patterns such as LLM APIs, agents or workflows, evaluation basics, and the observability of AI systems in production
• Demonstrated ability to integrate external systems using APIs, SDKs, authentication controls, payload mapping, and schema validation
• Experience with ETL, data modeling, and distributed storage systems
• Strong communication and collaboration across AI, Data, and Platform teams
• Bachelor’s degree in Computer Science, Data Engineering, or a related field
• Strong debugging judgment, systems thinking, and the ability to make progress in ambiguous customer environments
• Awareness of data governance, validation, and lineage best practices
• Demonstrated ability to ship clean, production quality code in Java or Python plus JavaScript or TypeScript, whether gained in software engineering, platform engineering, solutions engineering, SRE, or technical consulting
• Nice to have: ServiceNow or Jira workflows, automation tooling such as Ansible, Terraform, or Rundeck, and familiarity with MCP or similar integration patterns
• Working knowledge of observability fundamentals, including logs, metrics, traces, dashboards, alerting, root cause investigation, and incident workflows
• 4-7 years of experience in backend or data systems engineering