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Top Remote QA Engineer Jobs in Sacramento, CA

3,381+ Job Results
24 Days Ago
United States
Remote
Mid level
Mid level
Artificial Intelligence • Fintech
The Senior Implementation Engineer will lead end-to-end EDI solution implementations, ensuring compliance with industry standards. The role involves engaging with clients for technical support, troubleshooting EDI issues, performing quality assurance, and developing documentation and training materials to aid client understanding of EDI processes.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+15 More
24 Days Ago
United States
Remote
1,746 Employees
130K-270K Annually
Senior level
1,746 Employees
130K-270K Annually
Senior level
Artificial Intelligence • Information Technology • Analytics
As a Senior/Lead Software Engineer at Icertis, you will develop AI-driven solutions for contract intelligence. Collaborate with teams to design GenAI solutions, develop robust components, evaluate AI technologies, and drive product innovation. Your role includes rapid prototyping and engaging stakeholders, contributing to the enhancement of product offerings.
24 Days Ago
8 Locations
Remote
98 Employees
Senior level
98 Employees
Senior level
Software
The Senior Engineering Manager oversees a team of engineers, providing technical leadership and mentorship, while managing execution and delivery of projects. Responsibilities include coaching team members, conducting performance reviews, tracking efficiency, clearing roadblocks, and ensuring high-quality software delivery aligned with business goals.
25 Days Ago
USA
Remote
63 Employees
Junior
63 Employees
Junior
Software
As an AR/VR Engineer, you will create captivating VR applications and experiences, develop 3D assets optimized for VR, collaborate with teams, optimize applications for performance, and explore new technologies in VR/AR/MR trends.
25 Days Ago
USA
Remote
70 Employees
Senior level
70 Employees
Senior level
Software • Analytics
The Senior Backend Software Engineer will enhance the Forward Enterprise platform by developing a data ingestion pipeline, improving computation efficiency, and creating new product features that utilize network behavior models.
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