Senior System Integration Engineer, Enterprise Transformation

General Motors (GM)

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TXMountain View, CAWarren, MI
Salary
$202,000–$310,000 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $174k
This role $256k
$117k $331k
below market most similar roles pay here above market

This role pays more than 98% of similar roles. Most pay $137,925–$209,156 — the blue band above. At the midpoint, this role pays about $256k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 199 open roles on FindRole.

Listed pay typically runs $159,400–$252,400 across 52 roles with salary data.

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At a glance

TL;DR · Senior System Integration Engineer, Enterprise Transformation

As a Senior System Integration Engineer - Enterprise Transformation, you will join the Software/Core IT team to design, build, and scale enterprise integrations and data pipelines. You will modernize how systems work together by connecting Google Workspace, SaaS platforms, and enterprise AI tools to core business systems through secure, reusable patterns. Your daily responsibilities include building production-ready pipelines, defining GCP-native integration templates, and maintaining robust APIs, webhooks, and middleware. You will utilize Google Cloud products like Apigee, Pub/Sub, and Cloud Functions, alongside Python, REST/SOAP APIs, and Git-based CI/CD pipelines. The role solves the technical challenge of platform interoperability, specifically managing data flow between Workday, ServiceNow, and internal environments while orchestrating complex migrations from legacy Microsoft-dependent interfaces to scalable, event-driven, Google-aligned integration patterns.

What you'll do

  • Design and build scalable enterprise data pipelines and integration patterns using GCP-native services.
  • Create reusable integration templates and accelerators to reduce redundant engineering efforts across transformation pods.
  • Develop and maintain robust APIs, webhooks, and middleware pipelines connecting GCP with Workday and ServiceNow.
  • Define source-to-destination data mappings, transformation logic, and monitoring models for reliable operations.
  • Modernize legacy and Microsoft-dependent interfaces into scalable, event-driven, Google-aligned integration patterns.
  • Orchestrate end-to-end workflows for data movement across HR, IT, and other internal enterprise ecosystems.
  • Coordinate data cutover sequencing, permissions validation, and metadata mapping to minimize business disruption.
  • Provide technical leadership through design reviews, architecture guidance, and the creation of runbooks and handover materials.

What we're looking for

  • 10+ years of experience in integration engineering, platform architecture, enterprise application integration, or software engineering in complex corporate environments.
  • Hands-on experience architecting and building enterprise pipelines using Google Cloud integration products like Apigee, Pub/Sub, and Cloud Functions.
  • Proven track record of mapping dependencies across SaaS applications, data layers, identity services, and business processes in large enterprises.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience.
  • Deep technical knowledge of integrating GCP with Workday and ServiceNow using REST/SOAP APIs, web services, and integration hubs.
  • Production-level proficiency in Python and core scripting or automation frameworks.
  • Extensive experience with REST APIs, webhooks, middleware solutions, and event-driven architecture patterns.
  • Strong understanding of Git-based version control, CI/CD pipelines, and enterprise identity frameworks like GCP IAM, OAuth2, and SAML.

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