Senior Software Developer Cloud & Distributed Systems
Hewlett Packard Enterprise is hiring a Senior Software Developer Cloud & Distributed Systems. Level rates it ; you can apply on Hewlett Packard Enterprise.
Level's read on this job
- Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
- Some of the work can be done remotely, according to the posting.
- The posting mentions Copilot, LangChain and Databricks among its tools and skills.
- Level classes it as a senior role.
- Hewlett Packard Enterprise has 1,700+ other open roles on Level.
AI in this role
Design and build scalable distributed cloud services and data processing pipelines supporting AI-driven enterprise networking.
This role has been designed as 'Hybrid' with a requirement 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:
We are looking for a passionate and experienced Software Developer to join our Cloud Engineering team and help build the next generation of Mist’s cloud‑based network configuration and reporting platform. In this role, you will design and implement highly scalable distributed systems, own key cloud services end‑to‑end, contribute to the platform that powers AI‑driven enterprise networking at massive scale, and serve as the data SME for the team and organization by owning the software engineering side of database and Elasticsearch, and leading technical discovery, monitoring and troubleshooting for elastic search use cases.
Responsibilities:
- Design, build, and maintain scalable, fault‑tolerant distributed services running in the cloud.
- Develop microservices and backend components using Python and Go, with additional development in Java for event‑driven stream processing systems.
- Build and evolve real‑time and batch data processing pipelines for AIDE, including event streams, ingestion pipelines, and ML‑driven workflows.
- Write high‑quality unit, integration, and functional tests that enable safe refactoring and continuous delivery.
Education and Experience Required:
- Bachelor's or Master's degree in Computer Science, Computer Engineering or related field.
- Typically 6 - 10 years of software engineering experience with strong proficiency in Python, Go, or Java.
- 2+ years of experience building event‑driven stream processing systems using Kafka, Storm, Flink, or similar technologies.
Knowledge and Skills:
- Strong understanding of RESTful API design and implementation.
- Experience working with distributed datastores such as Redis, Cassandra, or Postgres.
- 4+ years working with Elasticsearch or OpenSearch.
- 3+ years working with big‑data frameworks such as Apache Spark or Databricks.
- 3+ years building or operating distributed systems using cloud‑native technologies or Kubernetes.
- Familiarity with DevOps practices, CI/CD, automation, and service ownership.
- Experience with ETL pipelines, ML training and inference, or data tooling such as Pandas/DuckDB.
- Familiarity with AI and AI Agentic frameworks and tools such as LangChain, GitHub CoPilot, MCP, Agent Orchestration Frameworks.
- Good understanding of Linux and systems fundamental.
- Strong analytical and problem‑solving skills.
- Excellent communication and cross‑functional collaboration 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.
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.
#puertoricoJob:
EngineeringJob Level:
TCP_04
HPE 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.
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We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
How we rate this
Senior Software Developer Cloud & Distributed Systems at Hewlett Packard Enterprise rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where cloud engineering was part of your work. What did you do?
- Tell me about a project where microservices was part of your work. What did you do?
- Tell me about a project where api design was part of your work. What did you do?
- Walk me through how you've used Copilot in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Cloud Engineering, Microservices, API Design, and Copilot. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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