Sr. Forward Deployed Engineer

About Us:   We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers. This role is open to candidates based in or near San Francisco, CA. At LogicMonitor, we hire within our Centers of Energy—vibrant locations where our teams connect, collaborate, and innovate. To learn more about life at LogicMonitor, check out our Careers Page . What You'll Do: LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise. Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row!  We’re looking for a Sr. Forward Deployed Engineer who enjoys solving real customer problems through hands-on engineering and AI-driven solutions. In this role, you will work closely with senior engineers, product teams, and customers to design, build, and deploy tailored solutions that extend LogicMonitor Edwin AI. As a Forward deploy Engineer, you will be operating at the intersection of customer delivery and core platform development, with ownership of discovery, scoping, system design, build, rollout, and measurable adoption. This is a customer facing engineering role at the intersection of software engineering, observability, and AI deployment. You will ship code, implement integrations, support production rollouts, and codify repeatable patterns that improve both customer outcomes and the core platform. Here's a closer look at this key role: Build & Support AI-Powered Solutions Partner directly with strategic customers to build production applications, ship technical artifacts used in production workflows, codify repeatable deployment patterns, and represent the company in highly ambiguous enterprise environments. Partner with Engineers and customers to understand use cases, workflows, and technical requirements. Build and maintain backend services, integrations, automations, and lightweight full stack experiences using Python and JavaScript or TypeScript.  Implement REST API, webhook, and SDK based integrations that normalize, enrich, and route operational data into LogicMonitor Edwin AI.  Instrument and troubleshoot telemetry across logs, metrics, traces, and related workflow data, including OpenTelemetry based pipelines where appropriate.  Configure and deploy solutions in SaaS, hybrid cloud, and customer managed environments, with working familiarity across containers, Kubernetes, CI or CD, and infrastructure automation.  Define or refine dashboards, alerting, service boundaries, and reliability workflows so customer teams can operate what is deployed.  Partner during go live, hypercare, and troubleshooting periods to drive adoption, reduce friction, and make the solution durable in production.  Convert repeated field learnings into templates, playbooks, reusable components, and product feedback for core engineering and product teams. Technical Execution Write clean, maintainable code across backend and frontend systems, commonly using Python, JavaScript, TypeScript, and React. Implement integrations with third-party systems using APIs and SDKs. Support testing, debugging, and optimization of deployed solutions. Follow engineering best practices for reliability, security, and performance. Contribute to internal documentation and knowledge sharing. Reusable artifacts created, such as templates, integration patterns, playbooks, or productized improvements.  Prototype & Iterate Help develop MVPs and proof-of-concept solutions to validate customer use cases. Incorporate feedback from customers and internal stakeholders to refine functionality. Support the transition of validated solutions into scalable product capabilities in collaboration with product and core engineering teams. Customer & Partner Collaboration Participate in technical discussions with customers and partners alongside senior engineers. Provide implementation support and troubleshooting during deployments. Share insights and feedback from customer engagements with internal teams to improve product quality and usability. Production deployments launched and adopted by named customer teams.  Time to first value, such as first workflow live, first integration live, or first meaningful AI investigation or automation in production.  Measurable workflow impact, such as reduced manual triage, faster incident handling, lower alert noise, or improved operational efficiency.  Strong implementation quality, documentation quality, and stakeholder satisfaction. What You'll Need: Bachelor’s degree in Computer Science, Data Engineering, or a related field. 4-7 years of experience in backend or data systems engineering. Experience building streaming data pipelines (Kafka / Spark or any similar technology). Strong programming background in Java and Python, including microse