Solution Engineer

Logz.io

. Manage all technical touchpoints for strategic customers, including deep-tech onboarding, advanced enablement, architectural workshops, and complex issue resolution .

Posted 10/22/2026full-timeBoston • Massachusetts • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive hands-on technical experience in SaaS infrastructure and cloud architectures, with a strong focus on observability solutions and customer engagement. Capable of designing scalable onboarding pipelines and resolving complex technical challenges while effectively communicating technical concepts to diverse stakeholders.

Highest-signal resume keywords

SaaS Infrastructure ExperienceCloud Architecture (AWS/Azure/GCP)Observability Solutions (Log Management, APM, Tracing, OpenTelemetry)Technical Account ManagementCustomer-Facing Engineering Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Technical Strategy DevelopmentInfrastructure DiagnosisAutomated Onboarding Pipeline DesignTelemetry Pipeline AuditingComplex Issue ResolutionTechnical POCsAI Use-Case AdoptionArchitectural WorkshopsData Pipeline AnalysisAgentic AI Solutions

Soft Skills

Exceptional Written CommunicationExceptional Verbal CommunicationTraining Engineering TeamsCollaboration with Product and R&D Teams

Certifications & Qualifications

BA/BSc Degree in Computer ScienceSoftware Engineering

Industry Keywords

DevOpsSRECustomer EngagementTechnical EnablementCloud Topologies

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Manage all technical touchpoints for strategic customers, including deep-tech onboarding, advanced enablement, architectural workshops, and complex issue resolution
Analyze customer data pipelines and infrastructures to develop technical strategies that maximize observability value and ROI
Build technical relationships with DevOps, SRE, and Engineering leaders
Diagnose infrastructure challenges and design production-ready solutions
Partner with Sales on technical POCs, use-case validation, product demonstrations, and technical blocker resolution
Identify and validate technical upsell and cross-sell opportunities, including agentic AI modules
Manage complex log, metric, trace routing, and agentic AI deployments
Monitor adoption patterns and infrastructure usage, debugging bottlenecks and implementation barriers
Support technical discovery, solution demonstrations, POCs, onboarding, integration, enablement, implementation assistance, and AI use-case adoption
Design automated, scalable onboarding pipelines and configuration workflows
Conduct architecture reviews and engineering check-ins
Audit telemetry pipelines, data volume, infrastructure health, and indexing configurations
Gather technical feedback and collaborate with Product and R&D teams
Engineer product and feature recommendations tailored to customer scale

Requirements

What you’ll need

3+ years of experience as a solution engineer, technical account manager (TAM), or DevOps/SRE engineer with strong customer-facing capabilities
Extensive hands-on technical experience in SaaS infrastructure
Experience with cloud architectures (AWS/Azure/GCP)
Experience with observability solutions, including log management, APM, tracing, and OpenTelemetry
Experience with agentic solutions
Strong customer-facing engineering skills
Ability to train engineering teams and whiteboard complex cloud topologies
Ability to resolve technical roadblocks and translate deep-tech architectures into clear business value
Exceptional written and verbal professional communication skills in English
BA/BSc degree in Computer Science, Software Engineering, or equivalent deep technical experience

Benefits

Comp & perks

Hybrid work arrangement with 3 days from the office
Monday–Friday workweek