Senior System Integration Engineer - Enterprise Transformation

General Motors
Mountain View, CA, United States
20 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$202,000.0 - $310,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Windows Application Programming Interfaces (APIs) Artificial Intelligence Application Integration Architecture Computing Platforms Automation of Tests BigQuery Business Systems Software as a Service Cloud Computing Continuous Integration Data Validation
+37 more
Data Control Extract Transform Load (ETL) Software Debugging Middleware Data Flow Control Identity and Access Management Information Lifecycle Management Python (Programming Language) OAuth OpenID Security Assertion Markup Language (SAML) Software Engineering Data Streaming Systems Integration Web Services Enterprise Data Management Enterprise Application Integration Scripting Google Cloud SOAPAPI Apigee Git Data Layers Event Driven Architecture Script Language Information Technology Google Cloud Functions Enterprise Integration Gsuite Cloud Integration Restful APIs Webhooks Software Version Control Data Pipelines Workday Servicenow Databricks

Job description

As a Senior Systems Integration Engineer - Enterprise Transformation, you will design, build, and scale enterprise integrations and data pipelines that modernize how systems work together across GM. Working from the Software/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. You will independently deliver complex integration solutions, translate business and technical requirements into practical system designs, and build production-ready pipelines that align to enterprise standards. You will partner closely with product, engineering, TPM, security, and business teams to enable reliable data flow, workflow continuity, and platform interoperability across GM.

What You’ll Do

  • Establish reusable patterns by defining and building GCP-native integration templates, accelerators, and reference implementations that reduce redundant engineering efforts across transformation pods.
  • Apply platform guardrails by aligning integration architectures with enterprise data standards, identity guidelines, and security policies.
  • Partner with Security, Privacy, Identity, and Information Lifecycle Management (ILM) teams to secure workflows that process regulated or sensitive data.
  • Evaluate incoming integration requests and recommend the right technical path (standard SaaS configuration, GCP-native services, or custom engineering).
  • Design, build, and maintain robust APIs, webhooks, and middleware pipelines connecting GCP with Workday, ServiceNow, and core internal systems.
  • Define source-to-destination data mappings, transformation logic, exception handling, and monitoring models that support reliable operations.
  • Modernize legacy and Microsoft-dependent interfaces into scalable, event-driven, Google-aligned integration patterns.
  • Build end-to-end workflows that orchestrate data movement and trigger actions across HR, IT, and internal enterprise ecosystems.
  • Design coexistence approaches that allow Microsoft, GCP, and internal environments to interoperate effectively during phased migration waves.
  • Coordinate data cutover sequencing, permissions validation, metadata mapping, and post-deployment stabilization to reduce business disruption.
  • Partner with Product Leads and Technical Program Managers to embed GCP-native integration capabilities into real-world operational processes.
  • Provide technical leadership through design reviews, architecture guidance, and engineering best practices across the program.
  • Deliver technical designs, dependency maps, runbooks, and handover materials that support long-term sustainment of integrated solutions.

Requirements

  • 10+ years of experience in integration engineering, platform architecture, enterprise application integration, or software engineering within complex corporate environments.
  • Hands-on experience architecting and building enterprise pipelines using Google Cloud integration products (e.g., Apigee API Management, Google Cloud Application Integration, Pub/Sub, Cloud Functions).
  • Proven track record of mapping dependencies across SaaS applications, data layers, identity services, and business processes in large enterprise environments.
  • 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 platforms such as Workday and ServiceNow using REST/SOAP APIs, web services, and integration hubs.
  • Strong production-level proficiency in Python and core scripting or automation frameworks.
  • Extensive experience working with REST APIs, webhooks, middleware solutions, and event-driven architecture patterns.
  • Strong understanding of Git-based version control, CI/CD pipelines, and debugging distributed integration issues across hybrid environments.
  • Deep knowledge of enterprise authentication, authorization, and identity frameworks (e.g., GCP IAM, OAuth2, SAML, OIDC).
  • Proven history of collaborating successfully with product managers, engineering teams, TPMs, security leads, and business stakeholders.
  • Strong written and verbal communication skills, including the ability to explain technical trade-offs, architectural risks, and engineering decisions to non-technical partners.

What Can Give You a Competitive Advantage (Preferred Qualifications)

  • Active professional-level Google Cloud certification (e.g., Professional Cloud Architect or Professional Cloud Integration Engineer).
  • Direct experience supporting large-scale Microsoft 365 to Google Workspace migration or platform coexistence programs.
  • Technical 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, BigQuery, Dataflow, Glean, Slack, and Databricks.
  • Familiarity with corporate data retention, ILM, privacy frameworks, and regulated data controls in large-scale enterprise environments.
  • Experience supporting automated testing, complex cutover planning, data validation, hypercare support, and long-term sustainment models.

Benefits & conditions

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.

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.

About the company

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.

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