Observe Inc is a leading AI-powered observability company that delivers modern, scalable observability solutions built on an innovative data lake architecture. Our platform combines a cost-effective streaming data lake with a powerful knowledge graph and AI SRE-driven workflows, enabling organizations to troubleshoot faster at drastically lower cost than traditional solutions. We’ve experienced rapid growth, tripling revenue and doubling our enterprise customer base, with industry-leading 180% net revenue retention.
Position SummaryWe are seeking an experienced Customer-Embedded Observability Engineer to work with a large enterprise customer to support migration from an existing observability platform and ongoing support to facilitate customer’s day-to-day usage of Observe.
This role combines technical expertise in observability technologies with customer-facing communication skills to ensure successful, smooth transitions that maximize customer value and platform adoption.
Key ResponsibilitiesDay-to-Day Customer Assistance
Provide ongoing assistance to customer stakeholders, ensuring smooth adoption of Observe platform. Provide front-line expertise on all things Observe, including answering customer questions, creating dashboards, alerts, datasets and other artifacts within Observe, escalating customer issues, participating in any internal and external meetings that help with customer onboarding and day-to-day operation.
Data Migration & Integration
Assist in execution of large-scale data migration from legacy platform (ELK-stack), transforming existing dashboards, queries, and alerting rules to Observe equivalents while converting legacy query languages to OPAL syntax and ensuring data continuity and accuracy throughout the migration.
Customer Enablement & Training
Conduct hands-on training sessions on Observe platform capabilities including OPAL query language, develop custom training materials, guide customers through exploratory data analysis and troubleshooting workflows, and enable teams to leverage Observe AI SRE capabilities for observability investigations.
Collaboration with Observe Teams - Ensuring customer issues are promptly escalated, responsible for sufficient level of documentation. You will be creating and managing multiple issues in Jira, documenting long-form narrative in Notion and be ready to jump into war-rooms as necessary to drive timely resolution of critical customer concerns.
Required QualificationsTechnical Expertise - 3+ years of hands-on experience with enterprise observability platforms (most notably ELK stack, but exposure to other platforms is a plus), strong knowledge of at least one cloud platform (AWS, GCP, Azure) and containerized environments (Kubernetes, Docker). Proficiency in query languages (most notably KQL, but exposure to other search DSLs, such as SPL, PromQL, Lucene, Elasticsearch Query DSL would be beneficial). Understanding of OpenTelemetry standards, experience with log aggregation, metrics collection, distributed tracing. Exposure to Infrastructure-as-Code tools, API integration. Solid grasp of observability best practices and using Observability solutions to solve day-to-day o11y practitioner problems.
Communication & Collaboration - Excellent verbal and written communication skills with both technical and non-technical stakeholders, cross-functional collaboration skills across engineering, sales, and customer success teams, and strong documentation skills for creating implementation guides, runbooks, and best practices.
Education & Certifications (Desired) - Bachelor’s degree in Computer Science, Engineering, Information Technology, or related technical field (or equivalent professional experience). Cloud platform certifications (AWS Solutions Architect, GCP Professional Data Engineer, Azure Data Engineer). Observability platform certifications (Elastic Certified Engineer track), and infrastructure certifications (Kubernetes CKA/CKAD, Docker, Terraform) preferred.
Location & TravelThis is a UK-based position. Split onsite-remote with up to 50% onsite presence for customer implementations, training, and team collaboration. Preference given to candidates, located in close proximity to Manchester, Northampton, or Radbroke. Position requires time zone flexibility for interactions with Observe team in North America.
Top Skills
What We Do
Observe was founded by Sutter Hill Ventures in November 2017. Our founding team came from leading Enterprise SaaS and software companies that work with vast quantities of data such as Snowflake, Splunk and Wavefront.
Our founding thesis was that the enterprises are data rich, but information poor. Data is siloed making it difficult to understand what’s going on inside applications and infrastructure. The result is often a poor customer experience and wasted engineering time tracking down incidents. Oh, and it costs a fortune.
Observe discerns why applications and infrastructure are running the way they are from the data they emit. We enable engineers to spend more time coding features and less time investigating incidents. We reduce outages and issues with customer experience. And we leverage an elastic cloud architecture so that you only pay for what you use.
