Implementation Engineer

About Us:

Observe is an AI-powered observability platform engineered for scale.

Built on an open, scalable data lake, Observe ingests and stores telemetry at dramatically lower cost while allowing reuse through open data formats like Apache Iceberg. Its Knowledge Graph tracks relationships between objects in the system—and how they change over time—providing essential context for investigations. Pairing agentic workflows with context from the Knowledge Graph, Observe’s chat-based AI SRE accelerates root cause analysis and resolution.

Engineering teams at Capital One, Topgolf, and Dialpad ingest hundreds of terabytes daily and troubleshoot 3x faster at 60% lower cost, depending on Observe to maintain reliability at scale.

Team:

We’re looking for an Implementation Engineer to help enterprise customers successfully deploy, configure, and operationalize Observe.

This is a hands-on, post-sales technical role focused on delivering strong first outcomes, accelerating time-to-value, and establishing a solid foundation for long-term customer success. Implementation Engineers are deeply technical, customer-facing practitioners who work closely with customer platform, SRE, DevOps, and application teams during onboarding and early adoption.

This role is ideal for a technically strong practitioner who enjoys building real solutions with customers, delivering early wins, and helping shape repeatable, scalable post-sales practices.

In this role you will:

• Translate existing observability architectures (including OpenTelemetry-based pipelines, Splunk, ELK, and other monitoring solutions) into scalable, production-ready implementations on Observe—using best practices while balancing speed, quality, and customer enablement.

• Implementation Engineers focus on initial deployments and time-to-value. They set the technical foundation and tone for the customer relationship by ensuring early success, sound architecture, and a clear path forward. Once customers are live and operational, Observability Engineers and Architects build on this foundation—driving deeper adoption, new use cases, and long-term value.

• Lead structured implementations for enterprise customers, from kickoff through initial production readiness

• Design and configure telemetry ingestion pipelines across logs, metrics, and traces, including parsing, enrichment, normalization, and routing

• Work hands-on with OpenTelemetry instrumentation and collectors, helping customers adopt modern, vendor-neutral observability standards

• Migrate and modernize existing observability environments (e.g., Splunk, ELK, cloud-native monitoring tools) into Observe

• Configure datasets, dashboards, alerts, and core observability assets aligned to customer use cases

• Establish implementation plans, milestones, and success criteria in partnership with customers

• Deliver practical, hands-on guidance that enables customers to become self-sufficient on the platform

• Identify technical risks, data quality issues, or architectural gaps early and proactively address them

• Capture implementation patterns, best practices, and reusable assets to improve consistency and scalability across the team

• Collaborate closely with Observability Engineers, Architects, Support, Product, and Engineering to ensure smooth transitions and ongoing success

Qualifications

• 5+ years of experience in customer-facing technical roles such as implementation engineer, solutions architect, technical consultant, or SRE

• Strong hands-on experience with observability platforms and telemetry pipelines

• Practical experience with OpenTelemetry (instrumentation, collectors, exporters, pipelines)

• Experience working with one or more commercial or open-source observability solutions (e.g., Splunk, ELK/Elastic, Datadog, New Relic, Dynatrace, Grafana)

• Solid understanding of logs, metrics, and traces, including data modeling and tradeoffs at scale

• Experience working in cloud environments (AWS, GCP, Azure) and modern application architectures

• Ability to work directly with technical customer teams and communicate clearly at multiple levels

• Strong problem-solving skills and comfort working through ambiguity in fast-moving environments

Bonus Points

• Experience migrating customers from Splunk or ELK to modern observability platforms

• Background in SRE, DevOps, or platform engineering roles

• Familiarity with Kubernetes, containerized workloads, and cloud-native tooling

• Experience creating implementation templates, runbooks, or enablement content

• Exposure to multiple observability vendors or hybrid observability environments

Equal Opportunity Employer

Observe, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, ancestry, national origin, religion, age, sex, gender identity or expression, sexual orientation, marital status, disability, veteran status, genetic information, or any other legally protected status.

We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process. If you need an accommodation, please let your recruiter know.

By applying, you consent to the processing of your personal information for recruiting purposes in accordance with applicable laws.