[Remote] Implementation Engineer at Observe

Manchester, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ObservabilityIndustries

Requirements

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 is 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 observability practitioner problems
Excellent verbal and written communication skills with both technical and non-technical stakeholders
Cross-functional collaboration skills across engineering, sales, and customer success teams
Strong documentation skills for creating implementation guides, runbooks, and best practices
Bachelor’s degree in Computer Science, Engineering, Information Technology, or related technical field (or equivalent professional experience) - desired
Cloud platform certifications (AWS Solutions Architect, GCP Professional Data Engineer, Azure Data Engineer) - desired
Observability platform certifications (Elastic Certified Engineer track) and infrastructure certifications - desired

Responsibilities

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
Escalate customer issues and participate in internal and external meetings that help with customer onboarding and day-to-day operation
Assist in execution of large-scale data migration from legacy platform (ELK-stack), transforming existing dashboards, queries, and alerting rules to Observe equivalents
Convert legacy query languages to OPAL syntax and ensure data continuity and accuracy throughout the migration
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
Enable teams to leverage Observe AI SRE capabilities for observability investigations
Ensure customer issues are promptly escalated with sufficient level of documentation
Create and manage multiple issues in Jira, document long-form narrative in Notion
Jump into war-rooms as necessary to drive timely resolution of critical customer concerns

Skills

Observability

OPAL

ELK Stack

Data Migration

Dashboards

Alerts

Datasets

Knowledge Graph

AI SRE

Streaming Data Lake

Observe

Software platform for application data monitoring

About Observe

Observe Inc. offers the Observability Cloud, a platform that helps businesses manage and analyze the large amounts of data generated by complex applications. This tool is designed for software developers and engineering managers, providing a comprehensive way to monitor application performance by ingesting data from various sources and formats. Unlike traditional monitoring tools, the Observability Cloud offers a holistic view, addressing the challenges of continuous releases and frequent updates. The company operates on a subscription model, allowing users to try the platform for free, and emphasizes high-quality customer support as a key differentiator.

San Mateo, CaliforniaHeadquarters

2017Year Founded

$281.6MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

201-500Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

AI integration may introduce technical challenges affecting platform stability.

Reliance on Snowflake poses risks if pricing or service terms change.

New data sharing capabilities could raise data privacy and security concerns.

Differentiation

Observe consolidates logs, metrics, and traces into a unified data lake.

Data Graph technology enables faster issue diagnosis in distributed applications.

Observability Cloud ingests data from any source, offering a holistic application view.

Upsides

Integration with Snowflake enhances data analytics and market reach.

AI-powered observability tools offer advanced insights, aligning with AI integration trends.

$145M Series B funding boosts product development and expansion efforts.

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