Cloud Full Stack Engineer
San Jose, California, United States of America
Hewlett Packard Enterprise
Discover HPE edge-to-cloud, enterprise compute IT, data, and security solutions. Learn how HPE empowers digital transformation through AI and sustainability.This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 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 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:
AIOps team in Santa Clara works on an exciting initiative to develop AI Powered actionable Insights and Alerts for Managing and Optimizing HPE Aruba's Enterprise Wi-Fi and Switching systems, improving network performance and the quality of users experience. With a strong Data Science charter, we are at the forefront of transforming raw data into actionable insights. We build scalable, reliable applications using technologies such as Apache Spark, Kubernetes, Kafka, ArangoDB, Clickhouse and more.
We are seeking a Full Stack Engineer with expertise in Data Engineering, Data Science, and Generative AI (GenAI). In this multifaceted role, you will bridge the gap between data engineering and advanced AI-driven applications, playing a pivotal role in building scalable, multi-tenant, and highly available platforms. You will work with cutting-edge AI/ML technologies, including LLMs, Agentic AI, and autonomous AI agents, enabling intelligent automation and deep data insights.
Job Description
Responsibilities :
- Application design and development in streaming or batch mode over Kafka and Spark
- Evaluate and implement new technologies and tools to improve efficiency and reduce cost
- Analyze and validate telemetry data, learn error patterns and produce views that show network problem conditions and patterns
- Work with a team of data scientists, domain experts, architects and other engineers to increase the accuracy of AI outcomes in our device management product
- Build CI/CD pipelines
- Work with SMEs and data scientists to increase accuracy of actionable insights
Education and Experience Required
- Master's Degree in Computer Science, Information Systems, or equivalent
- At least 4 years of total software development experience in Networking and Cloud technologies
- Bachelor's degree with at least 6 years of total experience may be considered if candidate demonstrates exceptional abilities
- At least 2 years of programming in experience Python
- At least 1 year of programming experience in Java
- Expertise in big data technologies such as Apache Spark or Kafka with at least 1 year of experience
- Experience with containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of experience
- Experience developing applications in Cloud computing environments such as AWS with at least 2 years of experience
Additional Desirable Skills
- Experience with developing Generative-AI and Agentic AI based applications
- Experience with managing and analyzing large data sets
- Good understanding of WiFi Wireless Networking, Switching and Routing concepts
- Working knowledge of programming in Scala
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.
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.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
EngineeringJob Level:
TCP_03
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: $117,500.00 - $270,000.00HPE 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.
Tags: AIOps Airflow Architecture AWS Big Data CI/CD Computer Science DevOps Engineering Generative AI Java Kafka Kubernetes LLMs Machine Learning Microservices Pipelines Python Scala Security Spark Streaming UX
Perks/benefits: Career development Health care
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