Solution Architect, Software Testing

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 60 days.
• No salary listed.

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Tonic.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

📦 Logistics

💼 Consulting

💰 $35M Series B on 2021-09

Healthcare • Logistics • Consulting

Tonic. ai is a company that provides software solutions for data security and test data management. They specialize in generating realistic synthetic data to safely test and develop applications without using sensitive real data. Their products focus on data de-identification, data masking, and synthesis, making it easier for engineers to create development environments that mirror production conditions. Tonic. ai also integrates with various relational and NoSQL databases, supporting AI development by transforming unstructured data into safe, usable formats. They cater to industries like healthcare and financial services with compliance needs such as HIPAA and GDPR.

📋 Description

• 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

• 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

• 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

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