Senior System Integration Engineer - Enterprise Transformation

General Motors; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

General Motors is seeking a Senior Systems Integration Engineer - Enterprise Transformation to design, build, and scale enterprise integrations and data pipelines across GM. You will connect Google Workspace, SaaS platforms, and core business systems through secure, reusable integration patterns in a production environment.

You will lead architecture reviews, implement REST/SOAP APIs, and collaborate with product, security, and IT teams to ensure reliable data flows, governance, and scalable

Qualifications

• 10+ years of experience in integration engineering, platform architecture, or related roles.
• Hands-on experience architecting pipelines using Google Cloud integration products (Apigee, Pub/Sub, Cloud Functions).
• Bachelor's degree or equivalent in a technical field.

Responsibilities

• Define and build reusable GCP-native integration templates and reference implementations.
• Design, build, and maintain robust APIs, webhooks, and middleware pipelines.
• Collaborate with Security, Privacy, ILM, and identity teams to secure data workflows.
• Guide architecture decisions and provide engineering leadership across the program.
• Translate business requirements into scalable, production-ready integration solutions.

Skills

Google Cloud

Apigee

Workday integration

ServiceNow integration

REST APIs

Python

CI/CD

OAuth2 / OIDC / SAML

GCP IAM

Data integration

Education

Bachelor's degree in Computer Science, Information Technology, Engineering

Tools

Pub/Sub

Cloud Functions

Dataflow

Workday API

ServiceNow API

APIs & Webhooks

Job description

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,