Senior System Integration Engineer - Enterprise Transformation

Job Description

The Role
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.

Your Skills & Abilities (Required Qualifications)

• 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.

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.







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