Software Development Engineer

Axiom Technology Group; San Jose (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Axiom Technology Group is seeking a Software Development Engineer to design, develop, and scale solutions within our Customer Success Management ecosystem in San Jose, CA. You will focus on building integrations, data pipelines, and platform extensions across Gainsight NXT and our enterprise stack.

The ideal candidate has 5+ years of professional software development experience in enterprise or SaaS environments, with strong SQL, Python, Java, or C# skills and experience configuring Gainsight

Qualifications

• Bachelor’s degree in CS/Engineering or related field.
• 5+ years of professional software development in enterprise or SaaS.
• Strong backend/data engineering skills with SQL/Python/Java/C#.

Responsibilities

• Design and implement scalable solutions within Gainsight NXT and CRM platforms.
• Build and maintain integrations across Dynamics, Azure, Databricks, SnapLogic.
• Develop data models, pipelines, and transformations for health scoring and analytics.
• Prototype and deploy AI-driven features such as sentiment analysis and predictive insights.
• Ensure security, reliability, and performance per enterprise standards.

Skills

SQL

Python

Java

C#

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Gainsight NXT

Salesforce

Microsoft Dynamics

Azure

Databricks

SnapLogic

Job description

Software Development Engineer [Customer Success Platforms]

Location:San Jose, CA(Onsite)

Primary Platform:Gainsight NXT (Customer Success Management)
Tech Stack:Microsoft Azure, Microsoft Dynamics, Databricks, SnapLogic, Middleware

Position Overview

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 extensionsacross 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 solutionsin the Customer Success space.

Key Responsibilities

• Engineering & Development:Design and implement scalable solutions within Gainsight NXT and CRM platforms (Salesforce/Dynamics), including configuration of rules, workflows, dashboards, and data models.
• Integration Development:Build and maintain integrations across Microsoft Dynamics, Azure, Databricks, SnapLogic, and middleware platforms to ensure seamless data flow and automation.
• Data Engineering:Develop data models, pipelines, and transformations that support customer health scoring, lifecycle management, and predictive analytics.
• AI Enablement:Collaborate with architects and product managers to prototype and deploy AI-driven features such as sentiment analysis, escalation triggers, and predictive insights.
• System Reliability:Ensure solutions are secure, reliable, and performant, following enterprise standards for data governance, testing, and monitoring.
• Collaboration:Partner with Business Systems Analysts, Product Owners, and Scrum Teams to translate requirements into technical deliverables.
• Continuous Improvement:Research and adopt new technologies, frameworks, and practices that improve development efficiency and system scalability.

Qualifications

• 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 NXTconfiguration is highly desirable; alternatively, Salesforce or Microsoft Dynamicsconfiguration experience is strongly valued.
• Experience developing integrations with CRM platforms and middleware/iPaaS(SnapLogic or equivalent).
• Proficiency with cloud platforms (Microsoft Azurepreferred) 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 solutionsfor enterprise workflows