[Remote] Implementation Engineer at Observe

New York, New York, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, SaaSIndustries

Requirements

5+ years of hands-on experience with enterprise observability platforms (Splunk, Datadog, New Relic, Sumo Logic, ELK)
Strong knowledge of cloud platforms (AWS, GCP, Azure) and containerized environments (Kubernetes, Docker)
Proficiency in query languages (SPL, PromQL, etc.)
Understanding of OpenTelemetry standards
Experience with log aggregation, metrics collection, distributed tracing, APM
Exposure to Infrastructure-as-Code tools and API integration
Solid grasp of observability best practices including cardinality management and SRE principles
Excellent verbal and written communication skills with both technical and non-technical stakeholders
Presentation abilities for executive-level discussions and technical deep-dives
Project management experience in driving complex customer-facing engagements
Cross-functional collaboration skills

Responsibilities

Migration Planning & Strategy - Conduct comprehensive assessments of customer observability infrastructure, develop detailed migration plans for complex multi-tool environments handling up to 100TB/day+ data volumes, and design phased approaches that minimize business disruption while mapping technical deliverables to business value
Technical Implementation - Configure and deploy Observe platform components including data ingestion pipelines, dashboards, and alerting using OPAL and OpenTelemetry-based data collection, while collaborating with Forward Deployed Engineers to optimize the streaming data lake architecture and articulate how Observe’s Knowledge Graph and AI technology maximize customer value
Data Migration & Integration - Execute large-scale data migrations from legacy platforms (Splunk, Datadog, New Relic, Sumo Logic), 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
Platform Optimization - In collaboration with Forward-Deployed Engineers, tune data ingestion and processing pipelines for optimal performance, implement cost optimization strategies, optimize query performance and dashboard responsiveness, and establish data governance and access control frameworks
Cross-functional Collaboration - Partner with Sales Engineering, Customer Success, Product teams, and Support to scope technical requirements, ensure long-term platform adoption, provide customer feedback for feature development, and coordinate technical issue resolution and knowledge transfer

Skills

Observability

Splunk

Datadog

New Relic

Sumo Logic

ELK

CloudWatch

Azure App Insights

OPAL

OpenTelemetry

Data Migration

Knowledge Graph

Data Lake

Data Ingestion

Dashboards

Alerting

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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