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 London, England. Our office is situated in a core location near Waterloo and Blackfriars on the Southbank. 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.
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.
- 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.
- 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.
- 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.
Click here to read our International Applicant Privacy Notice.
LogicMonitor is an Equal Opportunity Employer
At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We’re committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best.
For us, equal opportunity means fostering a truly inclusive culture where everyone has the chance to grow and succeed. We don’t just open doors; we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#LI-LT1 #LI-REMOTE #LI-Hybrid #BI-Hybrid
Our goal is to ensure an accessible and inclusive experience for every candidate.
If you need a reasonable accommodation during the application or interview process under applicable local law, please submit a request via this Accommodation Request Form.
Know your rights: workplace discrimination is illegal. Please click here to review LogicMonitor’s U.S. Pay Transparency Nondiscrimination Provision.
Skills Required
- Bachelor's degree in Computer Science, Data Engineering, or related field.
- 4-7 years of experience in backend or data systems engineering.
- Experience building streaming data pipelines (Kafka, Spark, or similar).
- Strong programming background in Java and Python, including microservice design.
- Ability to ship production-quality code in Java or Python plus JavaScript or TypeScript.
- Experience with ETL, data modeling, and distributed storage systems.
- Experience integrating external systems using APIs, SDKs, authentication, payload mapping, and schema validation.
- Working knowledge of observability fundamentals (logs, metrics, traces, dashboards, alerting, incident workflows).
- Familiarity with OpenTelemetry concepts and telemetry pipelines.
- Working knowledge of modern cloud and deployment tooling (AWS, Azure, or GCP), containers, Kubernetes, CI/CD, and infrastructure automation.
- Practical exposure to AI application patterns (LLM APIs, agents/workflows) and observability of AI systems in production.
- Strong debugging judgment, systems thinking, and ability to operate in ambiguous customer environments.
- Awareness of data governance, validation, and lineage best practices.
- Strong written and verbal communication and collaboration across AI, Data, and Platform teams.
- ServiceNow or Jira workflows, automation tooling such as Ansible, Terraform, or Rundeck, and familiarity with MCP or similar integration patterns.
What the Team is Saying
LogicMonitor Compensation & Benefits Highlights
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Healthcare Strength — The package includes multiple medical, dental, and vision options with HSA/FSA support, mental‑health resources (Calm, EAP), and specialty coverage such as infertility and transgender‑inclusive care. This breadth signals strong core health protection alongside modern specialty coverage.
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Parental & Family Support — Access to Maven for fertility, family planning, parenting/pediatrics, and menopause plus adoption assistance and generous parental leave underscore robust family‑building support. This mix covers both leave and ongoing guidance across life stages.
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Leave & Time Off Breadth — U.S. employees are offered unlimited vacation alongside a separate sick/personal day bank and quarterly paid volunteer time. This structure emphasizes flexibility while preserving dedicated time for health and community involvement.
LogicMonitor Insights
What We 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. For more information, visit www.logicmonitor.com and our blog, or follow us on LinkedIn, X, Facebook, and YouTube.
Why Work With Us
We love going to work and think you should too. We are customer-obsessed, work as one agile team, and strive to be better every day while building trust. These are our core values. So it's no surprise that we work hard and genuinely have fun working with each other as we expand our global presence and achieve record-breaking success.
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LogicMonitor Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We call our offices Centers of Energy, because they’re where we accelerate work, spark creativity, and ignite our culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best.
