Gainsight Platform Engineer

TEKsystems; San Jose (CA); Hybrid; USD 96,000 - 110,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) Retirement Plan

PTO & leave

Job summary

TEKsystems is seeking a Software Development Engineer to design, develop, and scale solutions within our Customer Success Management ecosystem. This role focuses on building integrations, data pipelines, and platform extensions across Gainsight NXT and our enterprise tech stack.

The ideal candidate will combine strong engineering expertise with knowledge of data models, APIs, and enterprise platforms while contributing to AI-driven solutions in Customer Success.

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 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.

Responsibilities

• Design and implement scalable solutions within Gainsight NXT and CRM platforms, incl. rules, workflows, dashboards, and data models.
• Build and maintain integrations across CRM platforms and middleware to ensure seamless data flow and automation.
• Develop data models, pipelines, and transformations supporting health scoring, lifecycle management, and predictive analytics.
• Collaborate with architects and PMs to prototype and deploy AI-driven features like sentiment analysis and predictive insights.
• Ensure solutions are secure, reliable, and performant with enterprise data governance and monitoring.
• Partner with analysts, product owners, and Scrum teams to translate requirements into deliverables.
• Research and adopt new technologies and practices to improve development efficiency and scalability.

Skills

Gainsight NXT

Azure

CRM Platform Experience

Python

Databricks

SQL

Java

Frontend/UI Frameworks

Microservices

Education

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

Tools

Gainsight NXT configuration

Salesforce configuration

Microsoft Dynamics configuration

SnapLogic

Databricks

Azure

Job description

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.

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.

Top Skills Details

Gainsight NXT, Azure, CRM Platform Experience ,Python, Databricks, SQL, Java, Frontend/UI Framework experience, microservices

Additional Skills & 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 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.

Job Type & Location

This is a Contract position based out of San Jose, CA.

Pay and Benefits

The pay range for this position is $70.00 - $80.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in San Jose,CA.

Application Deadline

This position is anticipated to close on Aug 30, 2026.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.