Software Engineering Lead- Automation Platform

Description -

Role Overview
We are looking for an experienced Software Engineering Lead to lead HPs PC Validation Automation Platform and the multi-disciplinary engineering team responsible for its development operation and continued evolution.
The platform supports automated PC system validation across software firmware drivers hardware and lab environments.

This role owns both the engineering organization and the software platform
ensuring reliable delivery strong engineering practices scalable architecture and effective collaboration with global validation and development teams.
This is not a traditional QA or test automation lead role.

Key Responsibilities

Engineering & People Leadership

• Lead a multi-disciplinary engineering team spanning software development validation/test engineering and DevOps/infrastructure.

• Own team structure resource planning priorities delivery and the overall engineering operating model.

• Translate platform strategy and business needs into clear execution plans resource decisions and measurable engineering outcomes.

• Balance short-term delivery with long-term investments in architecture scalability engineering quality and technical debt.

• Drive clear ownership and accountability across development validation and infrastructure functions.

• Represent the platform organization with senior leadership and global stakeholders.

Platform Strategy & Software Engineering

• Own the vision technical strategy architecture direction and roadmap of the PC Validation Automation Platform.

• Drive the evolution of the platform toward a scalable reusable and extensible engineering platform.

• Guide architecture across backend services APIs workflow orchestration execution infrastructure data observability and web interfaces.

• Establish strong software engineering practices including Git-based development code review CI/CD automated testing release engineering and reusable platform components.

• Ensure platform scalability reliability maintainability security and operational excellence.

• Maintain sufficient technical depth to guide major architecture and design decisions and mentor engineers.

Validation Engineering Enablement

• Partner with Validation Software BIOS/Firmware Driver Hardware and ODM/OEM teams to understand engineering workflows and translate them into reusable platform capabilities.

• Enable automation across system validation hardware/software integration regression failure reproduction debugging and lab execution.

• Drive adoption of common tools standards and engineering practices across global teams.

• Improve validation efficiency and quality through data automation platform capabilities and continuous improvement.

AI-Assisted Engineering & Future Platform Evolution

• Identify opportunities to apply Generative AI coding agents and intelligent automation to platform development and validation workflows.

• Promote AI-assisted software development and Harness Engineering practices to improve development velocity and quality.

• Explore AI-enabled capabilities such as test generation failure analysis root-cause investigation automated debugging and workflow optimization.

• Establish practical evaluation quality and governance mechanisms for AI-enabled capabilities before production adoption.

• Continuously evaluate emerging AI technologies and introduce them where they provide measurable engineering value.

Required Experience and Skills

• 10 years of experience in software engineering platform engineering engineering tools infrastructure automation engineering or related technical disciplines.

• Proven experience directly leading and managing engineers and an engineering team of meaningful scale preferably around 10 or more people.

• Demonstrated responsibility for hiring performance management team development resource planning and prioritization.

• Experience leading teams across multiple engineering disciplines such as software development validation/QA and DevOps/infrastructure.

• Strong software/platform engineering background with the ability to guide architecture technical decisions engineering practices and software quality.

• Proven experience building scaling or owning software platforms engineering platforms developer tools or enterprise automation systems.

• Strong understanding of SDLC DevOps CI/CD APIs observability and production software operations.

• Fluent in written and spoken English.

• Excellent communication and stakeholder-management skills across technical and executive audiences.

• Strong development background with technologies such as:
  / TypeScript / JavaScript for backend services APIs and web platform development
  Python for automation platform services and engineering tooling
  PowerShell for Windows and system-level automation
  Modern frontend technologies such as React or similar frameworks

Highly Preferred Experience

• Experience with PC system validation hardware/software integration BIOS/Firmware Drivers operating systems or device validation.

• Experience working with engineering labs global engineering teams and ODM/OEM partners.

• Experience with GitHub / GitLab / Azure DevOps Docker Kubernetes cloud infrastructure logging monitoring and API integrations.

• Experience defining engineering productivity automation effectiveness quality or platform adoption metrics.

• Experience applying Generative AI coding agents Agentic AI or AI-assisted software development to engineering workflows.

• Experience building or integrating workflow engines orchestration systems engineering automation platforms or AI-enabled engineering tools.

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Equal Opportunity Employer (EEO) -

HP Inc. provides equal employment opportunity to all employees and prospective employees without regard to race color religion sex national origin ancestry citizenship sexual orientation age disability or status as a protected veteran marital status familial status physical or mental disability medical condition pregnancy genetic predisposition or carrier status uniformed service status political affiliation or any other characteristic protected by applicable national federal state and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information review HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal