
51 - 200 employees
Founded 1995
☁️ SaaS
⚡ Energy
📡 Telecommunications
💰 Private Equity Round on 2015-07
SaaS • Energy • Telecommunications
Irth Solutions is a market-leading provider of a SaaS platform focused on enhancing resilience and reducing risk in the management of critical network infrastructure. Their solutions are trusted by energy, utility, and telecom companies across the U. S. and Canada, offering capabilities in damage prevention, training, asset inspections, land management, and 811 ticket management. By leveraging business intelligence, analytics, and geospatial data, Irth Solutions provides comprehensive situational awareness to proactively manage and mitigate risks in network infrastructure. The acquisition of OneBridge Solutions enhances their asset performance management offerings.
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51 - 200 employees
Founded 1995
☁️ SaaS
⚡ Energy
📡 Telecommunications
💰 Private Equity Round on 2015-07
SaaS • Energy • Telecommunications
Irth Solutions is a market-leading provider of a SaaS platform focused on enhancing resilience and reducing risk in the management of critical network infrastructure. Their solutions are trusted by energy, utility, and telecom companies across the U. S. and Canada, offering capabilities in damage prevention, training, asset inspections, land management, and 811 ticket management. By leveraging business intelligence, analytics, and geospatial data, Irth Solutions provides comprehensive situational awareness to proactively manage and mitigate risks in network infrastructure. The acquisition of OneBridge Solutions enhances their asset performance management offerings.
• Own end-to-end test strategy across user interface, APIs, and analytics layers • Design, build, and maintain automated UI, API, integration, data-validation, and model-validation test suites • Build and maintain reliable regression coverage running on every change • Create and manage realistic test data, including messy customer-data inputs • Perform exploratory testing of new functionality • Validate data accuracy through ingestion and transformation across Bronze, Silver, and Gold layers • Validate model outputs against expected results, baselines, and golden datasets for consistency and reproducibility • Test risk-calculation edge cases, geospatial correctness, and AI-assisted extraction and gap-filling workflows • Integrate automated tests into CI/CD pipelines and implement quality gates • Own test-environment configuration, data seeding, teardown, and relevant infrastructure-as-code contributions • Maintain fast, stable, trustworthy test automation and report quality signals • Coordinate release testing and sign-off • Support performance/load testing, security testing, access-control and tenant-isolation testing, and upgrade/migration-path verification • Produce audit-defensible test evidence and maintain requirements-to-results traceability • Document validation approaches, results, and known limitations for each model release • Translate requirements into testable acceptance criteria with Product • Partner with engineers on testability, unit/integration coverage, and defect triage • Advocate for quality during design reviews and identify risks early • Maintain defect-management practices, including reproducible steps, severity, impact analysis, and fix verification
• 3–5 years of software quality assurance experience spanning both manual and automated testing • Hands-on test automation experience across UI and API layers using tools such as Playwright, Cypress, Selenium, Postman, or REST Assured • Strong SQL skills and ability to independently validate data • Scripting or programming proficiency, ideally in Python or JavaScript, sufficient to build and maintain an automation framework • Demonstrable CI/CD experience, including integrating automated tests into pipelines, implementing quality gates, and supporting environment promotion • Experience testing REST APIs, including contract testing, authentication, error handling, and asynchronous workflows • Experience with test planning, test-case design, defect management, and release sign-off • Working knowledge of Git and branch-based development workflows • Strong written communication skills, with ability to create clear defect reports and test documentation • Preferred: experience testing data pipelines, ETL processes, analytics platforms, machine learning or statistical model outputs, Databricks, Spark, modern lakehouse platforms, performance/load testing, cloud platforms (Azure preferred), multi-tenant SaaS, geospatial data validation, AI-assisted or agentic coding tools • Nice to have: regulated-industry audit experience, pipeline integrity or asset-management concepts, security testing, legacy-data migrations, accessibility testing
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