HP Enterprise—Python Developer

Job description

Description: Python Developer This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: 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. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. 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. In today’s fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what’s next for you. What you will do: Management Level Definition: Contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary. Might act as project lead and provide assistance to lower level professionals. Exercises independent judgment and consults with others to determine best method for accomplishing work and achieving objectives. 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: Education and Experience Required: - 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 - Excellent written and verbal communication skills; mastery in English and local language. Accessibility HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability. What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #operations Job: EngineeringJob Level: TCP_03 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. Recruitment Fraud Alert We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately. Skills: python, machine learning frameworks, data science tools, numpy, artificial intelligence, large language models, generative ai, java, jpa, hibernate, django, spring framework, spring boot, laravel, html5, css3, javascript, mysql, oracle database, apache hbase, mongodb, docker, kubernetes, vert.x, soap, rest, flask, fastapi, nginx, tensorflow