Hewlett Packard Enterprise Looking for Full Stack Engineer at New Jersey, United States Full Time

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

About AI at Scale

In the AI at Scale group at HPE, we’re building an open-source, enterprise-grade data science platform that combines version-control for big data with ML experimentation, training and inference, built for some of the biggest clusters in the world. With our platform, you can always trace the lineage of your results, and you can always reproduce those results. Our versioning layer efficiently shards and deduplicates any shape of large data set, and because the versioning system also controls the pipeline system, if data hasn’t changed, it isn’t reprocessed, massively improving the efficiency of our customers’ data ops, ML ops, and AI training.

The Role

On The Integrations Team Within AI At Scale, We Focus On Connecting Our Product To Other Tools In The ML And Data Science Ecosystems. We’ve Built

• Connectors to other pipeline systems, so that you can put your data under version control and re-use your existing pipelines, but still get the benefits of reproducibility, lineage, and incrementality
• Tools for automatically deploying ML models, as well as tools like explainability (why did my model produce this inference) and drift detection. Our versioning can ensure that all production services derived from a single training data set are running together; everything is based on the same version
• Tools for opening versioned data in Jupyterlab, exploring it, and then publishing the resulting code as a pipeline—all to dramatically reduce data scientists’ idea-to-production latency and boost their productivity

On our team, you’ll build extensions and plugins for tools like Jupyter and LabelStudio, for which you’ll get to explore the variety of frameworks and libraries used by these partner products. You’ll also build client libraries and add needed features to our core product.

The long and short of it is, if you’re looking to have a lot of agency on a small team that works on open source software and delivers an enterprise-grade product, then this role is for you.

Qualifications

• 5+ years of professional experience building modern user-facing applications. We use Typescript and React in our UIs and Go and Python in our backend services.
• A solid understanding of standard development workflows, including Git and CI.
• We’re a remote team, so everyone needs solid communication skills, especially in writing. Engineers in this role need to distill complex design decisions both internally and externally.
• Likewise, you’ll need to plan and estimate tasks and then execute efficiently
• Experience with Docker and Kubernetes is a big plus
• Experience working in data infrastructure is a big plus
• Experience writing JupyterLab extensions is a plus

Please apply if you’re interested, even if you don’t have all of these!

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.

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.

Job

Engineering

Job Level

Specialist

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.

Annual Salary: $96,300.00 – $221,700.00

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.