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Customer Success Platforms Software Development Engineer
Job Location:
Job Location:
San Jose, CA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
6 August 2026 (2 hours ago)
Posted:
Application Deadline:
3 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title : Customer Success Platforms - Software Development Engineer
Location :San Jose CA
Client: TCS
Rate:$50/hron W2
Positions: 3
JD:
Hybrid Role
Customer Success Platforms
Software Development Engineer
Primary Platform: Gainsight NXT (Customer Success Management)
Tech Stack: Microsoft Azure Microsoft Dynamics Databricks SnapLogic 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.
Bachelors 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 (SnapLogic or equivalent).
Proficiency with cloud platforms (Microsoft Azure preferred) and distributed data systems (Databricks Spark).
Experience with frontend/UI frameworks (JavaScript React Angular or equivalent) and building data-driven dashboards.
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.
Skills: Software Product Development
Experience Required: 8-10
Location :San Jose CA
Client: TCS
Rate:$50/hron W2
Positions: 3
JD:
Hybrid Role
Customer Success Platforms
Software Development Engineer
Primary Platform: Gainsight NXT (Customer Success Management)
Tech Stack: Microsoft Azure Microsoft Dynamics Databricks SnapLogic 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.
Bachelors 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 (SnapLogic or equivalent).
Proficiency with cloud platforms (Microsoft Azure preferred) and distributed data systems (Databricks Spark).
Experience with frontend/UI frameworks (JavaScript React Angular or equivalent) and building data-driven dashboards.
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.
Skills: Software Product Development
Experience Required: 8-10
Required Skills:
PYTHONJAVAMIDDLEWAREREST APISMICROSOFT AZUREC#SQLANGULARSAASSPARKDATA MODELSJAVASCRIPT
