Solution Architect, Software Testing

Tonic.ai

. Run technical discovery with prospects’ engineering, DevOps and QA teams .

Posted 11/11/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in technical customer engagement, focusing on deploying solutions, managing data pipelines, and providing customer training. Proficient in relational databases, cloud infrastructure, and CI/CD practices, with a strong ability to diagnose issues and enhance product offerings.

Highest-signal resume keywords

Technical Customer EngagementRelational Database ExperienceCloud Infrastructure (AWS, Azure, GCP)CI/CD KnowledgePython and SQL Scripting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Relational DatabasesData WarehousesCI/CDDockerKubernetesPython ScriptingSQL ScriptingTest Data ManagementData MaskingSynthetic Data Tooling

Soft Skills

OwnershipDecision-MakingCustomer TrainingProblem DiagnosisCollaboration

Tools & Technologies

TonicAI ToolsTesting FrameworksCloud Platforms

Industry Keywords

Technical Customer SuccessSolutions ArchitectSales EngineerForward Deployed EngineerSecurity and Compliance Reviews

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonSQL

About the role

Key responsibilities & impact

Run technical discovery with prospects’ engineering, DevOps and QA teams
Map customer data sources, environments and release processes to determine where Tonic fits
Design and demo solutions and address security, deployment, performance and CI/CD questions
Scope pilots with written success criteria and run them to a decision
Own post-sale onboarding, including deploying Tonic, connecting data sources, configuring de-identification and subsetting, and helping customers generate usable test data
Design test-data pipelines for agent and software testing using de-identified production data and synthetic data
Diagnose issues such as broken foreign keys, schema drift, missed sensitive columns and incomplete jobs
Train customer teams to operate Tonic independently
Provide field insights to product and engineering teams regarding features, bugs and product direction
Support existing customers with high-complexity issues and identify expansion opportunities with account teams
Create reusable scripts, documentation, runbooks and product improvements
Learn the platform and delivery process, independently run engagements, convert pilots into customers and deliver onboardings on time

Requirements

What you’ll need

Bachelor’s degree in a technical field (computer science, engineering, information systems, math or similar), or equivalent experience
3+ years in a technical customer-facing role such as Solutions Architect, Sales Engineer, Technical Customer Success or Forward Deployed Engineer
Hands-on experience with relational databases and data warehouses
Experience with cloud infrastructure such as AWS, Azure or GCP
Working knowledge of CI/CD, Docker, Kubernetes, test environments and testing frameworks
Comfort scripting and automating in Python and SQL
AI-native workflow; familiarity with AI tools and agents and their reliability limits
Ability to take ownership and make sound technical decisions independently
Ability to work with both DBAs and VPs of Engineering
Willingness to travel up to 25%, domestically and internationally
Experience with agent evaluation and testing is a nice-to-have
Experience with test data management, data masking or synthetic data tooling is a nice-to-have
Experience supporting security and compliance reviews in regulated industries is a nice-to-have
Experience at an early-stage company or on a new product line is a nice-to-have
Must answer whether visa sponsorship is required to work in the United States

Benefits

Comp & perks

Competitive compensation and equity
Opportunity to work in agent testing
Exposure to a wide range of technical environments, from startups to Fortune 500 companies and cloud-native stacks to mainframes
Direct line from field insights to product development
Opportunity to help define how next-generation software and agents are tested