Address
Form of workThis role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.
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:
On the Machine Learning Data Management (MLDM) team within the AI at Scale business group, we focus on creating intuitive webapp interfaces for AI/ML and data science use cases. We build interfaces for complex data processing pipelines and vast data stores, working with partners across disciplines to create entirely new tools for our enterprise customers.
On our team, you'll build new apps using React and TypeScript that unlock the potential to store and manipulate huge amounts of data being processed in Kubernetes clusters. We use Storybook, Cypress, GitHub, Sentry, and CircleCI to build and test our software.
This role will have a lot of agency on a small team that works on open source software and delivers an enterprise-grade product. The team has a few senior Frontend Engineers and is looking to add someone less experienced, with 1-3 years of React or similar web application framework experience in their background.
As a Frontend Software Engineer, you will join the team responsible for designing and implementing our products' web interfaces, and more broadly, will play a key role in defining how our customers interact with our products. You will build software to help Machine Learning (ML) engineers launch new ML workloads, monitor cluster utilization via a dashboard interface, and plot metrics to understand the statistical behavior of their experiments. You will help design and implement a collaborative development environment for Machine Learning teams that spans the ML lifecycle from Data Management and model development through deployment and monitoring.
Requirements
The desire and interest to understand workflows for highly technical users.
Experience facilitating conversations between engineering, product, and other internal stakeholders.
Versatile software engineering skills, including technical communication, performance optimization, and knowledge of web security technologies and techniques.
Experience leading by example with helpful code/design reviews and general technical mentorship.
Working knowledge of best practices around front-end testing, development, and/or deployment.
6+ years of experience.
Preferred
Experience with React, TypeScript, WebSockets, and JavaScript plotting libraries.
Experience with data visualization, particularly of large data sets.
Experience building intuitive interfaces for enterprise software.
Knowledge of or interest in Machine Learning, analytics, and/or statistics.
Familiarity with scientific and numerical computing.
Additional Skills:
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:
EngineeringJob Level:
Expert
Canada Pay Range Requirement
The expected salary/wage range for a Canada-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://hpe-benefits.seb-admin.com/new-to-hpe/.
L’échelle salariale prévue pour un nouvel embauché basé au Canada occupant ce poste est indiquée ci-dessous. L'offre peut varier dans cette échelle en fonction de l'emplacement géographique, de l'expérience professionnelle, de et/ou du niveau des compétences. S'il s'agit d'un rôle de vente, l'échelle salariale indiquée reflète le salaire de base combiné à la rémunération des ventes ciblées. S'il s'agit d'un rôle non commercial, l'échelle salariale indiquée reflète uniquement le salaire de base. Des incitations variables peuvent également être proposées. Des informations sur les avantages sociaux offerts sont disponibles sur https://hpe-benefits.seb-admin.com/new-to-hpe/.
CAD Annual Salary: $100,900.00 - $187,100.00HPE 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. .
