Architect - Data Science and Server Manageability

1 week ago


Bengaluru Karnataka, India Hewlett Packard Enterprise Full time

Architect - Data science and Server manageability

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2-3 days per week from an HPE office.

**Who We Are**:
At Hewlett Packard Enterprise (HPE), we live by three core values that drive our business: Partner. Innovate. Act. These values combine to help us create important work all over the world to advance how people live and work.

**Compute at HPE** helps organizations power their edge-to-cloud platform with proven, workload-optimized products, solutions, and services. Our leading supercomputing technologies enable customers to transform and modernize their IT infrastructure, solve complex problems and support new business opportunities with purpose-built infrastructure and software

**What you’ll do**

Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.

Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements.

**What you need to bring**
- Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
- Typically 12-15 years of experience in systems /cloud and software development.
- ** Knowledge and Skills**:

- Experience working on server products, data centers, and cloud infrastructure.
- Extensive experience with multiple software systems, design tools, and languages, including Python.
- Knowledge of containerization tools like Docker and orchestration tools like Kubernetes.
- Good to know industry standards such as Redfish.
- Hands-on experience with one or more of the following: Spark, Airflow, AWS, and data transformation tools.
- Exposure to time series modeling and recommendation systems.
- Knowledge of ML Ops and AI/Ops use cases.
- Proficiency in tools such as PyTorch, ML Flow (ML lifecycle)
- Strong understanding of statistical methods and techniques for data analysis.
- Exposure to data visualization tools such as Tableau or matplotlib and seaborn in Python.
- Experience with SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, and Cassandra.
- Ability to effectively communicate product architectures, design proposals, and negotiate options at senior management levels.

**Additional Skills**:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, 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**

**Diversity, Inclusion & Belonging**

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse 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**:
india #compute

**Job**:
Engineering
**Job Level**:
TCP_04

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse 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 F/M/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.



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