Six Figure Work

Lead System Integration Engineer - Enterprise Transformation

General Motors

Company websitegm.com (General Motors, opens in new tab)

Base salary $202K  to $310K

Employer-published annual base salary, USD. Advertised base range in Mountain View, CA

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  • LocationMountain View, CA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (18 min ago) · observed since

About this job

Job Description

The Role


As a Lead System Integration Engineer – Enterprise Transformation, you will design, build, and scale enterprise integrations and data pipelines that modernize how systems work together across General Motors. From the software and core IT side of the transformation, you will focus on connecting Google Workspace, SaaS platforms, enterprise AI tools, and GM’s core business systems through secure, reusable, and scalable integration patterns.


This role is a strong fit for an experienced engineer who can independently deliver complex integration solutions, translate business and technical requirements into practical system designs, and build supportable, production-ready pipelines that align with enterprise standards. You will partner closely with product, engineering, technical program management, security, and business stakeholders to enable reliable data flow, workflow continuity, and platform interoperability across GM, while contributing reusable patterns that can be adopted broadly across the enterprise.
 

What You’ll Do


Strategic architecture and standards alignment

  • Build reusable services, accelerators, and reference integration templates so transformation teams can solve repeatable connectivity needs more consistently.
  • Apply enterprise platform guardrails by aligning integration designs with data standards, identity guidelines, and security policies.
  • Partner with Security, Privacy, Identity, Information Lifecycle Management (ILM), and Retention teams to support workflows that process sensitive or regulated data.
  • Evaluate incoming integration requests and recommend the appropriate technical path using approved platform capabilities, configuration options, or custom engineering.

Integration delivery and pipeline engineering

  • Design, build, and maintain robust, resilient, and observable integrations using APIs, webhooks, scripts, connectors, and middleware services.
  • Define source-to-destination data mappings, transformation logic, exception-handling patterns, and monitoring approaches that support reliable day-to-day operations.
  • Modernize Microsoft-dependent workflows, legacy interfaces, and older automations into scalable, Google-aligned integration patterns.
  • Connect Google Workspace with core GM platforms, including identity services, reporting environments, asset repositories, and approved AI platforms.
  • Support end-to-end workflows that move data and trigger actions across enterprise systems.

Migration and coexistence engineering

  • Design and support coexistence models that allow Microsoft, Google, and internal platforms to interoperate effectively during phased migration waves.
  • Preserve workflow continuity where historical data, inactive-user content, or core systems must remain on legacy platforms during transition.
  • Support cutover sequencing, permissions validation, metadata mapping, and post-deployment stabilization to reduce operational disruption.

Transformation pod engagement and sustainment

  • Partner directly with transformation Product Leads and Technical Program Managers within business units to integrate Google capabilities into real-world operational processes.
  • Provide technical leadership through design reviews, implementation guidance, and engineering best practices across the program.
  • Author technical designs, dependency maps, operational runbooks, and handover materials that support long-term sustainment of integrated solutions.
  • Support validation, troubleshooting, and hypercare activities during rollout and early adoption phases.

Your Skills & Abilities (Required Qualifications)


Core experience and education

  • 7+ years of hands-on experience in integration engineering, software engineering, platform architecture, or enterprise application integration within complex enterprise environments.
  • Strong systems-thinking capability, with proven experience mapping dependencies across applications, data layers, identity services, and business processes.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience.

Integration and software engineering proficiency

  • Strong production-level proficiency in Python and core scripting or automation frameworks.
  • Extensive experience building and supporting enterprise-grade integrations using REST APIs, webhooks, middleware solutions, and ETL or data transformation logic.
  • Strong understanding of cloud-based integration patterns, modern application architecture, Git-based version control, and debugging integration issues across multi-system environments.
  • Experience designing secure, supportable integrations across SaaS platforms and internal enterprise systems.

Security, identity, and cross-functional delivery

  • Strong foundational knowledge of enterprise authentication, authorization, identity integration, and access-control frameworks.
  • Proven history of working effectively with product managers, engineering teams, TPMs, security leads, and business stakeholders.
  • Strong written and verbal communication skills, including the ability to explain technical tradeoffs, architecture risks, and engineering decisions to non-technical partners.

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Direct experience supporting large-scale Microsoft 365 to Google Workspace migration or coexistence programs.
  • Familiarity with Google Workspace administration, Google Workspace APIs, Google Apps Script, and AppSheet.
  • Experience connecting enterprise workflows to modern data and AI ecosystems such as Gemini Enterprise, Glean, AskGM, and Databricks.
  • Familiarity with corporate data retention, ILM, privacy frameworks, and regulated data controls in large-scale enterprise environments.
  • Experience supporting automated testing, cutover planning, data validation, hypercare support, and long-term sustainment models.

This job may be eligible for relocation benefits.


GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.


For a California-only role, use:

Compensation: The compensation information is a good-faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.


Salary Range: The salary range for this role in California is $202k–$310k per year. The actual base salary offered will vary based on factors relevant to the position.


Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.


#LI-CK1







About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Source: General Motors on Workday · View original posting (opens in new tab)

This range next to 6 other live General Motors roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live General Motors roles with the nearest advertised base floor
RolePublished base
Lead System Integration Engineer - Enterprise Transformation (this listing)$202K - $310K
Senior System Integration Engineer - Enterprise Transformation$202K - $310K
Principal Security Software Engineer, PKI and Secrets Management$201,600 - $309,900
Senior Manager, Software Release Program Management$201,600 - $365,700
Staff ML Engineer, ML Compute Platform$195K - $298K
Senior Systems Engineer$189,530
Staff Software Engineer, Validation Foundations and Acceleration$189,300 - $290,700

Same $100K to $400K scale as every card. All General Motors roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-29
Where this pay comes from

Location as the employer wrote it: Mountain View, California, United States of America

Salary Range: The salary range for this role in California is $202k–$310k per year. The actual base salary offered will vary based on

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.