Enterprise · Process automation
Nintex currently has 1 active AI-related role in our index. The most common open titles are: Manager, GTM Tech Stack. Most positions are in Engineering.
Nintex's active AI hiring is concentrated in: agents (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Nintex is hiring AI talent in: United States (1 role).
Job postings at Nintex most frequently reference: agent orchestration.
In the past 30 days, Nintex has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Automation Test Engineer Automation Test Engineer at Nintex, focusing on creating and maintaining end-to-end and integration tests, CI/CD pipelines, and mocking services. The role requires proficiency in test automation frameworks, coding languages like C# or JavaScript, and experience with tools such as Selenium/Cypress. It also involves debugging, non-functional testing, and API testing within a secure software development lifecycle. | — | 0 |
| Platform Engineer Platform Engineer role focused on designing, building, and maintaining CI/CD pipelines, infrastructure, and operational solutions for complex production systems, with a strong emphasis on Azure cloud infrastructure, automation, monitoring, and security. The role involves contributing to DevOps programs, troubleshooting infrastructure issues, and promoting DevOps culture. | — | 0 |
| Engineer - Salesforce Salesforce Developer role focused on building and optimizing solutions on the Salesforce AppExchange for business process and document automation. The role involves architecting, implementing, and maintaining scalable features, mentoring teammates, and ensuring best practices in a collaborative environment. |
| — |
| 0 |