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 position is located in Sydney. ** You'll be working in a major tech center of Sydney, Australia.

Across the globe, our Centers of Energy serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best.

To learn more about life at LogicMonitor, check out our Careers Page (https://www. logicmonitor. com/careers) . **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 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 Deployed Engineer, you will operate at the intersection of customer delivery and core platform development, taking responsibility for defined customer workstreams across discovery, scoping, system design, build, rollout, and adoption while partnering with more senior team members on the most complex engagements.

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 customers to build production applications, ship technical artifacts used in production workflows, and apply repeatable deployment patterns in moderately complex enterprise environments, escalating or partnering with senior engineers when needed.

+ 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.

+ Configure and improve 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.

+ Contribute field learnings to 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, or equivalent practical experience.

+ 5+ years of relevant experience in backend, data systems, platform, solutions, or software engineering. + Experience building streaming data pipelines (Kafka / Spark or any similar technology). + Strong programming background in Java and Python, including microservice design.

+ Experience with ETL, data modeling, and distributed storage systems. + 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.

+ Demonstrated ability to integrate external systems using APIs, SDKs, authentication controls, payload mapping, and schema validation. + Working knowledge of observability fundamentals, including logs, metrics, traces, dashboards, alerting, root cause investigation, and incident workflows.

+ 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.

+ Practical exposure to AI application patterns such as LLM APIs, agents or workflows, evaluation basics, and the observability of AI systems in production.

+ Strong debugging judgment and systems thinking, with the ability to make progress independently on defined problems and collaborate with senior engineers on highly ambiguous customer environments. + Awareness of data governance, validation, and lineage best practices.

+ Effective communication and collaboration across AI, Data, and Platform teams. + Clear written and verbal communication skills, with the ability to explain technical tradeoffs to engineers, product teams, and customer stakeholders. + Nice to have: ServiceNow or Jira workflows, automatio