Cloud and Systems Integration Developer
Maxon
Build Azure infrastructure and enterprise integrations supporting Maxon’s creative software operations. Automate deployments, identity workflows, and system connections across the organization.
Open
Hewlett Packard Enterprise develops enterprise technology for organizations running hybrid cloud and AI-driven operations. Its portfolio spans HPE ProLiant servers and HPE Cray high-performance computing, HPE Alletra storage, HPE Aruba networking, AI platforms and turnkey AI factories, and GreenLake as-a-service solutions. HPE also provides security capabilities such as Zero Trust and SASE, alongside professional, advisory, and support services that help large organizations modernize infrastructure, manage data-center environments, and deploy AI at scale.
AI Engineer, Developer Productivity (On-site)
Help engineering teams use AI to improve coding workflows, code review, automation, and developer enablement at Hewlett Packard Enterprise. Build practical AI tools, team playbooks, and measurement programs that improve software delivery.
Description
- Work with the AI Process Lead and engineering teams to deliver prioritized developer productivity initiatives
- Study team coding practices and identify practical opportunities for improvement
- Develop and maintain team AI resources, including AGENTS.md, Copilot instructions, reusable prompts, and workflow playbooks
- Design and improve AI personas for code review, test coverage analysis, refactoring, and related use cases
- Build AI-enabled code review and developer workflow automations with GitHub, CI/CD, scripts, and internal tools
- Prototype and ship tools in Python or comparable technologies, supported by clear documentation and adoption guidance
- Measure and communicate outcomes such as adoption, cycle time, review quality, and defect trends
- Support adoption through demonstrations, office hours, and team training
Requirements
- At least three years of software engineering experience with strong programming ability
- Hands-on experience with AI coding tools such as GitHub Copilot, ChatGPT, Claude, or comparable products
- Track record of delivering automation or developer tools adopted by multiple engineers
- Clear and effective written and verbal communication skills
- Ability to communicate technical tradeoffs in an understandable way
- Comfort working through ambiguity while keeping delivery on track
- Familiarity with Git-based development and CI/CD practices
- Curiosity, adaptability, and a willingness to test, learn, and iterate quickly
- Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience
- Experience designing prompts and evaluating the quality of AI-generated output is a plus
- Experience producing internal technical documentation, runbooks, or enablement materials is a plus
- Exposure to secure coding or quality engineering practices within review workflows is a plus
Benefits
- Benefits designed to support physical, financial, and emotional wellbeing
- Programs supporting personal and professional growth
- Flexible work options to help balance professional and personal responsibilities
- Inclusive work environment
- Benefits available to employees in the United States
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