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indeed

Lead Software Engineer - Salesforce CPQ

EPAM Systems
IND
Onsite
Discovered 1 months ago
Salesforce developmentSalesforce CPQREST APIsSOAP APIsIntegration middlewareERP systems

Full Job Posting

Role Overview

Lead hands-on engineering for Salesforce implementations from design through delivery.

Lead Salesforce CPQ configuration and ARM migration programs while ensuring reliable enterprise integrations.

Responsibilities

  • Implement and configure complex Salesforce solutions across multiple clouds and external systems.
  • Run code reviews, uphold coding standards, and coach developers on delivery quality.
  • Create and troubleshoot Salesforce integrations with ERP and legacy databases using batch, near-real-time, and real-time patterns.
  • Deliver REST and SOAP APIs aligned to an API-led integration strategy.
  • Set up and troubleshoot integration tools and middleware platforms connecting business systems.
  • Apply data integration and governance controls to maintain data quality.
  • Configure Salesforce CPQ product bundles, pricing rules, quote calculation logic, and approval workflows.
  • Partner with sales and finance teams to validate quote generation during build and testing.
  • Lead large-scale data migration, including profiling, cleansing, transformation mapping, and reconciliation.
  • Build secure, scalable migration tools and scripts for large data volumes.
  • Advise on data handling, archival implementation, and master data management activities.
  • Coordinate deployments, environment management, and go-live technical readiness.

Requirements

  • Significant Salesforce development expertise with 8-12 years of IT experience.
  • Expert Salesforce CPQ configuration across product bundles, pricing rules, and approval workflows.
  • Hands-on integration build and troubleshooting using REST APIs, SOAP APIs, and middleware.
  • Strong knowledge of databases, integration middleware, and enterprise systems such as ERP.
  • Experience leading engineering teams through code reviews and coding standards.
  • Proven large-scale data migration delivery, including profiling, cleansing, mapping, and reconciliation.
  • Ability to build secure, scalable migration tooling and scripts for large data volumes.
  • Understanding of data governance controls, master data management, archival implementation, and release management.

Benefits

  • Health, retirement, paid time off, and flexible benefits.
  • Access to learning, certifications, Tech Talks, Hackathons, and LinkedIn Learning.
  • Potential relocation opportunities for short- and long-term projects.

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