Senior Cloud Developer, AI/GenAI/ML

San Jose, California, United States of America

Hewlett Packard Enterprise

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Senior Cloud Developer, AI/GenAI/ML

  

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:

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 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

Joining our HPE Hybrid Cloud team and working as part of our OpsRamp team is a chance to make history and be a driving force in the industry. We are revolutionizing cloud computing by building a large-scale, enterprise-ready platform that powers a hybrid edge-to-cloud world. Our platform enables the world's largest and most diverse enterprise IT teams and managed service providers to control the chaos of modern digital infrastructure, and to deliver quickly, efficiently, and at scale while keeping their data secure and meeting sustainability goals.  

We do this through hybrid discovery and monitoring, event and incident management, remediation, and automation, powered by AI. We help our enterprise and MSP customers avoid costly outages and performance issues that result in lost revenue and productivity. 

With over 100,000 dedicated customers and 1 million devices in production, we are committed to accelerating transformation across data, connectivity, cloud, and security, providing essential solutions for businesses of all sizes. Together, we make the impossible possible, and we are confident in our ability to lead the way in shaping the future of cloud computing. 

What you’ll do:  

We’re solving the world’s most complex challenges, and our people are at the forefront of progress. We are looking for a hands-on Senior AI/ML Development engineer with a passion to innovate and create cutting edge products for OpsRamp’s observability SaaS product. As a Senior Development Engineers within OpsRamp, you’ll play a part in building the future – one big idea at a time.  You’ll significantly contribute on the end-2-end data and GenAI/AI/ML pipeline experiments, design, development and deployment.

This individual must demonstrate strong knowledge and experience in the cloud native technologies, AI/ML pipelines and appreciation of scale, performance and cost considerations from a Systems as well as AI/ML inference & training aspects as well.

·       Help in building of OpsRamp’s CoPilot for Autonomous Operations for the Hybrid Cloud. 

·       Implement  cloud-native architecture concepts and have knowledge of best practices for high availability, scalability, resilience, performance, and security requirements in the cloud. 

·       Incorporate the MLOPS paradigm and CI/CD in the AI/ML world, while following cloud-native techniques.

·       Actively participate in the design and development of AI/ML pipelines, AI Co-pilots/Agents etc.

·       Guides and mentors less-experienced staff members to set an example of software systems design and development innovation and excellence, helping engineers grow in their careers.

What you’ll need: 

  

·       5-7 years of relevant experience in the industry delivering scalable cloud/cloud-native solutions with ETL pipelines.

·       Bachelor's or Master's in Computer Science, Information Systems, Machine Learning, Engineering, or equivalent 

·       At least 2 years of hands-on expertise in defining, building, training and / or optimizing AI/ML models at scale in any of the popular ML frameworks.

·       Deep Understanding in Multi-agent/RAG/Advanced RAG applications, Prompt Engineering Techniques, Fine-tuning LLMs with an eye on inference performance.  

·       Familiarity with toolchains like Llamaindex, Langchain etc. is desirable.

·       Must have strong knowledge of application failure modes, resiliency patterns, and techniques to enable robust, self-healing designs. 

·       Ability to effectively communicate product design proposals and negotiate with other stakeholders to achieve design consensus.

·       Must be able to work in a global, complex, and diverse environment. 

At HPE, we’re: 

·       Ranked 19th on Fortune’s 2022 list of 100 Best Companies to Work For

·       Ranked 7th on Newsweek’s list of America’s Most Responsible Companies 2022 

·       Named a Best Place to Work for Disability Inclusion for the sixth year in row 

·       Named one of the 100 Best Large Workplaces for Millennials in 2021 

·       Recognized as one of the Best Companies for Multicultural Women by Seramount 

Ready to take the next step? Open up opportunities with HPE. 

HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status 

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

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.

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:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates

Job:

Engineering

Job Level:

TCP_04

    

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html.

USD Annual Salary: $128,000.00 - $295,000.00

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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Tags: Architecture CI/CD Computer Science Copilot DevOps Engineering ETL Generative AI LangChain LLMs Machine Learning Microservices ML models MLOps Pipelines Prompt engineering RAG Security UX

Perks/benefits: Career development Health care

Region: North America
Country: United States

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