Description
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world.
Job Description:
HPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation. Our teams collaborate to transform insight into innovation.
Responsibilities:
- Define, design, and develop a scalable, web-based automation platform that supports manufacturing partners and business operations.
- Create and maintain functional design specifications, process workflows, system integration documentation, and connectivity architecture documentation.
- Perform advanced troubleshooting, root-cause analysis, and reverse engineering to resolve incidents and complex production issues.
- Develop and execute unit, integration, and system testing strategies to ensure solution quality, reliability, and performance.
- Apply strong analytical and problem-solving skills to identify risks, recommend solutions, and drive continuous improvement.
- Contribute to the planning, design, and implementation of complex, large-scale technology projects.
- Ability to work on multiple concurrent initiatives of varying size and complexity in a fast-paced, dynamic environment while maintaining high-quality deliverables.
- Proven track record of delivering complex enterprise software solutions from architecture through deployment and support.
What you need to bring:
- Bachelor's or Master's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent.
- Typically 4-6 years experience.
Knowledge and Skills:
- Using testing tools and software packages to automate test and bring-up processes.
- Demonstrated expertise in designing and building scalable, HA, and high-performance applications.
- Experience designing, developing, and deploying Artificial Intelligence (AI) and ML solutions.
- Experience with Generative AI, Large Language Models (LLMs), and AI agent frameworks.
- Experience integrating AI capabilities into applications, APIs and business workflows.
- Knowledge of responsible AI principles, security, compliance, and ethical AI practices.
- Proficiency in Python and data science tools such as Pandas, NumPy, Jupyter Notebooks.
- Strong hands-on experience and deep technical proficiency in the following technologies:
- Backend Technologies: Python, Java, JPA, Hibernate, Django, Spring Framework / Spring Boot, Laravel
- Frontend Technologies: HTML5, CSS3, JavaScript, jQuery
- Relational Databases: MySQL, Oracle Database
- NoSQL Databases: Apache HBase, MongoDB
- Cloud & Microservices Technologies: Docker, Kubernetes, Vert.x
- Web Services & APIs: SOAP, REST, Flask, FastAPI, NGINX
- machine learning frameworks: TensorFlow, PyTorch, Scikit-learn.
Benefits:
- Health & Wellbeing: comprehensive suite of benefits that supports physical, financial and emotional wellbeing.
- Personal & Professional Development: programs catered to helping you reach any career goals you have.
- Unconditional Inclusion: celebrating individual uniqueness, valuing varied backgrounds, and succeeding here.