We are seeking an architect-level Automation Framework Engineer to design, build, scale, and maintain enterprise automation frameworks across UI, API, document, and integration-heavy workflows. This role will also support AI-assisted QA initiatives (E.g. test generation, pipeline support and failure analysis)
The ideal candidate can speak to real-world examples of how they have designed frameworks for scale, security, and long-term stability as applications, teams, environments, and delivery pipelines evolve.
Key Responsibilities- Architect, build, and maintain scalable UI automation frameworks using Playwright and Selenium
- Design frameworks supporting multiple teams, applications, environments, and CI/CD pipelines
- Build reusable API and integration testing components (Postman, GraphQL, PactumJS, REST clients)
- Support document-heavy and compliance-driven workflows (disclosure validation, OCR, document intelligence)
- Implement automation observability: logging, diagnostics, flaky test detection, and trend reporting
- Support AI-assisted automation: test generation, regression optimization, and failure triage
RequirementsRequired Experience
- Deep hands-on experience building and maintaining enterprise automation frameworks
- Advanced coding experience in TypeScript, JavaScript, or C#
- Strong experience with Playwright, Selenium, or similar automation tools
- Strong CI/CD experience, preferably with Azure DevOps
- Experience designing automation for distributed systems, APIs, integrations, and complex workflows
- Ability to explain real-world framework design decisions, tradeoffs, and long-term maintenance strategies
Scale
Candidates must explain how they designed automation frameworks that scaled across teams, applications, and environments. Examples may include scaling test execution across CI/CD pipelines, supporting multiple products from one framework, designing reusable components, and managing test data and environment configuration.
Security
Describe security practices when building frameworks: secure credential management, avoiding hardcoded secrets, role-based access, secure test data handling, pipeline security, and protection of sensitive data.
Stability
Explain how automation remained stable as applications evolved: reducing flaky tests, maintaining reusable selectors, versioning framework components, handling application changes without large rewrites, and separating true defects from automation failures.
Nice-to-Haves- Mortgage, lending, banking, or FinTech experience
- Experience with compliance-heavy or document-heavy workflows
- Experience with AI-assisted QA, Azure OpenAI, or Claude
- Experience with Azure Document Intelligence
- Experience optimizing regression test selection
Candidate Screening Guidance
As an architect-level automation professional, you will be expected to be able to walk us through your projects where you accomplished feats on building, scaling, securing, stabilizing integrating and maintaining automation frameworks.
You will be considered a strong candidate if you are able to provide real-world examples of the aforementioned accomplishments.
Skills Required
- Deep hands-on experience building and maintaining enterprise automation frameworks
- Advanced coding experience in TypeScript, JavaScript, or C#
- Strong experience with Playwright, Selenium, or similar automation tools
- Strong CI/CD experience
- Experience with Azure DevOps
- Build reusable API and integration testing components (Postman, GraphQL, PactumJS, REST clients)
- Experience designing automation for distributed systems, APIs, integrations, and complex workflows
- Ability to explain real-world framework design decisions, tradeoffs, and long-term maintenance strategies
- Experience with document-heavy workflows, OCR, and document intelligence
- Experience with AI-assisted QA, Azure OpenAI or Claude
- Experience with Azure Document Intelligence
- Experience optimizing regression test selection
What We Do
PartnerOne is an enterprise software company that manages the world’s largest data environments through virtualized cloud storage, hyper-automation, artificial intelligence, and metadata analytics. Contrary to other software companies, we play a mission-critical role in not just one, but many aspects of the enterprise Big Data cycle. Over 1250 of the world’s largest data environments rely on our software for their most critical needs and to safeguard their most valuable data.
