Description
As a Principal Innovation Developer in the Hybrid Cloud CTO organization at Hewlett Packard Enterprise, you will play a senior individual contributor role responsible for driving complex, high-impact incubation projects across AI, cloud-native architectures, and emerging software technologies.
You will apply deep expertise in distributed systems, Generative AI, microservices, and cloud technologies to create robust, scalable, and secure services. This role demands the ability to blend hands-on development with architectural leadership, proactively generate and advance innovative concepts, and uphold technical excellence across a diverse portfolio of projects.
Key responsibilities:
- Serve as a senior technical contributor on complex AI and cloud-native incubation projects, owning design and implementation of key components.
- Lead teams of up to 5-6 engineers of multiple disciplines through the full lifecycle of concept development while collaborating with multiple stakeholders.
- Evaluate and integrate emerging software technologies, including Generative AI frameworks.
- Design, build, and validate microservices and cloud-native systems deployed across public cloud, datacenter, and edge environments.
- Contribute to technical architecture decisions, ensuring solutions meet requirements for scale, performance, security, and reliability.
- Collaborate closely with internal customers, technical leads, and business stakeholders to align emerging technologies with strategic objectives.
- Conduct research spikes, proofs-of-concept, and experiments that evaluate feasibility and technical trade-offs.
- Implement high-quality code following best practices in AI-assisted code generation, testing, validation, CI/CD, and observability.
- Provide mentorship and knowledge-sharing to team members of all levels on advanced software and AI topics.
- Work effectively across multiple parallel projects in a dynamic environment with frequent context switching.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Information Systems, AI/ML, or related technical field.
- Typically 10-15 years of software development experience, with at least 3-5 years focused on cloud-native and AI/ML systems.
Desired skills:
- Strong programming proficiency in Python and experience with ML libraries.
- Deep understanding of distributed systems, microservices, and event-driven architectures.
- Hands-on experience with Kubernetes, Docker, REST APIs, and cloud-native application development.
- Experience implementing Generative AI solutions using LLMs, RAG, LangGraph, or similar frameworks.
- Working knowledge of multiple technologies, including vector databases, graph, NOSQL, and RDBMS systems.
- Experience deploying cloud solutions on AWS, Azure, or GCP.
- Strong understanding of AI Governance and Security alignment, and responsible AI principles.
- Proficiency in Agile development methodologies, including Scrum or Kanban.
- Experience contributing to large-scale cloud service development environments.
Benefits:
- Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.
- Investment in career development and growth.
- Unconditional inclusion and celebration of individual uniqueness.
Salary range:
- United States of America: Annual Salary USD 165,500 - 313,500 in Colorado // 178,000 - 339,000 in Massachusetts // 157,000 - 361,000 in North Carolina & Texas