HRIS Platform Engineering Leader (AI & Automation)

General Motors

Mountain View (CA)

Hybrid

USD 180,000 - 240,000

Full time

6 days ago

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Job summary

General Motors is seeking an HRIS Software Engineering Manager to lead a team responsible for enterprise applications, platform capabilities, and intelligent workflows across cloud, SaaS, and hybrid environments supporting Finance, HR, and Corporate Systems.

This role combines people leadership and technical leadership to drive modernization, improve delivery, and introduce AI-enabled capabilities in practical, secure, and responsible ways; you will hire, mentor, and guide engineers, set

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field, or equivalent experience.
8+ years of experience in software engineering, systems integration, enterprise application development, or platform engineering.
3+ years of experience leading technical teams.
Experience designing and delivering scalable, secure, production-grade systems.
Strong understanding of software architecture, design patterns, reliability, observability, and support models.
Experience with API-driven architectures, enterprise integrations, distributed systems, and backend platforms.
Experience leading teams using Agile, DevOps, CI/CD, and automated testing practices.
Strong communication and stakeholder management skills.
Experience leading or delivering AI-enabled products, intelligent automation, or decision-support capabilities in an enterprise setting.
Understanding of responsible AI principles, including privacy, security, governance, and human oversight.
Experience in leading teams to deploy/migrate custom applications to cloud Azure

Responsibilities

Lead, coach, and develop a team of software engineers and technical leads.
Drive delivery across the software development lifecycle, from planning through production support.
Set engineering priorities, delivery plans, and measurable outcomes aligned to business goals.
Guide architecture, engineering standards, documentation, and solution delivery.
Remove roadblocks, manage risk, and support high-quality, on-time execution.
Modernize legacy applications, workflows, and integration patterns.
Advance reusable platform capabilities, API-first design, automation, and service-based engineering practices.
Partner with product, architecture, infrastructure, security, and business teams on technology roadmaps.
Improve system reliability, maintainability, observability, and operational readiness.
Drive modern engineering practices including Agile, DevSecOps, CI/CD, automated testing, and release governance.
Identify and implement AI and intelligent automation opportunities that improve efficiency, user experience, and business outcomes.
Follow responsible AI practices across governance, security, privacy, and quality.
Lead hiring, talent planning, performance management, and career development.
Build a high-performing engineering culture focused on accountability, collaboration, and continuous improvement.