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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Forward Deployed Engineer - **Company:** LogicMonitor - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, JIRA, Microsoft Azure, Software as a Service, Cloud Engineering, Computer Programming, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Software Debugging, Distributed Data Store, Python (Programming Language), Operational Data Store, Reliability Engineering, Ansible, Software Deployment, Software Engineering, Data Streaming, Systems Integration, TypeScript, ReactJS, Large Language Models, Apache Spark, HybridCloud, Backend, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Apache Kafka, Front End Software Development, Rundeck, Restful APIs, Terraform, Servicenow, Microservices - **Published:** July 23, 2026 - **Apply:** https://dejobs.org/x/x/220B7ACE09D447AB99FC888E65BE57AD/job/ ## About the Role * 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 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, systems thinking, and the ability to make progress in ambiguous customer environments. * Awareness of data governance, validation, and lineage best practices. * Strong 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, automation tooling such as Ansible, Terraform, or Rundeck, and familiarity with MCP or similar integration patterns. ## Description * 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)