Software Engineer

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:

As a Software Engineer on our Network Performance Monitoring, Automation & AI/ML team, you will design and develop products that are used by customers worldwide. You will collaborate with peers to overcome technical challenges, conduct code reviews, and contribute to building distributed systems that deliver reliability, scalability, and intelligence.

What you’ll do:

• Design, develop, and optimize software solutions for network monitoring, troubleshooting, and performance management.
• Implement AI/ML-driven analytics to detect, correlate, and remediate network events automatically.
• Build models for anomaly detection, predictive maintenance, and intelligent automation of network operations.
• Collaborate with cross-functional teams to deliver high-quality, customer-centric products.
• Participate in code reviews, ensuring clean, efficient, and maintainable code.
• Contribute to API design and integration for seamless interoperability across platforms.

What you need to bring:

• Education: MS in Computer Science, Data Science, or equivalent technical degree with 1-2 years of experience.
• Technical Skills: Proficiency in Python, Go, or other object-oriented programming languages.
• Strong fundamentals in distributed systems, networking, databases, and operating systems.
• Experience designing APIs and writing efficient, scalable code.
• AI/ML Experience: Hands-on experience with machine learning frameworks (Tensor Flow, Py Torch, Scikit-learn).
• Knowledge of data pipelines, feature engineering, and model deployment in production environments.
• Familiarity with AI/ML applications in networking such as traffic prediction, anomaly detection, and intelligent automation.
• Preferred Experience: Familiarity with Docker, Open Stack, Kubernetes, and network monitoring tools.
• Exposure to automation frameworks and CI/CD tools such as Ansible, Helm, and Jenkins is a plus.

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX)

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.

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Job:

Engineering

Job Level:

TCP_02

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.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors **will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.**The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.