Onsite_ Gainsight NXT Development Engineer_San Jose CA
Listed on 2026-08-22
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Software Development
Data Engineering, AI Engineer (Applied/Software)
Job : OOJ - 26593
Posted Date : 08/13/2026
Experience :
-
Job Type :
Contractual
Location :
San Jose, CA
Hello,
Our client is seeking an experienced professional with the skill set outlined below. If you are interested in this opportunity, please review the job description and share your updated resume along with your contact details.
Software Development Engineer
Location:
San Jose CA
Duration: 6 months
Hybrid Role
Customer Success Platforms
Primary Platform:
Gainsight NXT (Customer Success Management) Tech Stack:
Microsoft Azure, Microsoft Dynamics, Databricks, Snap Logic, Middleware
We are seeking a highly skilled Software Development Engineer to design, develop, and scale solutions within our Customer Success Management (CSM) ecosystem. This role is focused on building integrations, data pipelines, and platform extensions across Gainsight NXT and our enterprise technology stack. The ideal candidate will combine strong engineering expertise with a deep understanding of data models, APIs, and enterprise platforms, while contributing to the adoption of AI-driven solutions in the Customer Success space.
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 5+ years of professional software development experience in enterprise or SaaS environments.
- Strong skills in SQL, Python, Java, or C# for backend/data engineering.
- Experience with Gainsight NXT configuration is highly desirable; alternatively, Salesforce or Microsoft Dynamics configuration experience is strongly valued.
- Experience developing integrations with CRM platforms and middleware/iPaaS (Snap Logic or equivalent).
- Proficiency with cloud platforms (Microsoft Azure preferred) and distributed data systems (Databricks, Spark).
- Familiarity with REST APIs, event-driven architectures, and microservices.
- Strong problem-solving, debugging, and performance optimization skills.
- Interest or experience in AI/ML solutions for enterprise workflows.
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