Sr. Forward Deployed Engineer

1 month ago

London, United KingdomMid Level / Senior

Responsibilities

Partner with strategic customers and internal teams to discover requirements, scope solutions, and design production applications.
Build backend services, integrations, automations, and lightweight full-stack experiences using Python, JavaScript, TypeScript, and React.
Implement REST API, webhook, and SDK integrations that normalize, enrich, and route operational data into LogicMonitor Edwin AI.
Build and maintain streaming data pipelines, ETL workflows, data models, and distributed storage solutions.
Deploy and configure solutions across SaaS, hybrid-cloud, and customer-managed environments using containers, Kubernetes, and infrastructure automation.
Instrument, troubleshoot, and optimize telemetry across logs, metrics, traces, dashboards, alerting, and OpenTelemetry pipelines.
Develop MVPs and proofs of concept using AI application patterns such as LLM APIs, agents, and workflows.
Support go-live, hypercare, production troubleshooting, adoption, documentation, and operational handoff.
Convert recurring customer learnings into templates, playbooks, reusable components, integration patterns, and product feedback.

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 with Kafka, Spark, or similar technology.
Strong programming experience in Java and Python, including microservice design, plus JavaScript or TypeScript.
Experience with ETL, data modeling, distributed storage systems, external system integrations, 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.
Working knowledge of AWS, Azure, or GCP; containers; Kubernetes; CI or CD; and infrastructure automation tools.
Practical exposure to LLM APIs, agents or workflows, evaluation basics, and production observability of AI systems.
Awareness of data governance, validation, and lineage best practices.
Strong debugging, systems thinking, communication, and collaboration skills in ambiguous customer environments.
Preferred experience with ServiceNow, Jira, Ansible, Terraform, Rundeck, MCP, or similar integration patterns.

The position is located in London, England, with an office near Waterloo and Blackfriars on the Southbank.
The company describes Centers of Energy as hubs for productivity, collaboration, creativity, and connection, with teams coordinating time in them according to how they work best.

1,001-5,000 employees