Level

Hewlett Packard Enterprise

Software Systems Engineer-Devops

AI in this role

langchainvertex-aimlflowsagemakerdatabricks
ai-agentsml-ops
Software Systems Engineer-Devops

  

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work 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:

   

What you'll do:

HPE Datacenter Networking team is looking for a Software Engineer (Entry Level / Junior) with a passion for Software Development in Cloud Native products and Distributed systems, and an eagerness to solve problems leveraging large-scale automation tools such as AI Agents and Co-pilots.

Designs, develops, troubleshoots, and debugs software programs for software enhancements and new products under the guidance of senior engineers. Contributes to software including networking, utilities, databases, and Internet-related tools, and develops an understanding of hardware/software interactions.

Contributions have visible impact on well-defined features or subcomponents of a product. Applies foundational professional knowledge and fresh ideas to solve problems of moderate scope. Learns rapidly from senior engineers and code reviews, participates in team initiatives, and grows toward owning larger components over time.

What you need to bring:

Required Qualifications:

  • B.Tech or M.Tech in Computer Science or related major.
  • 0–2 years of hands-on experience (including internships, co-ops, or academic projects) writing high-quality code in languages such as Python, Golang, Java, C, or C++.
  • Foundational understanding of Distributed systems, Cloud Native software development, Microservices, and Infrastructure as Code concepts.
  • Exposure to Virtual Infrastructure Management software like KVM, OpenStack, Kubernetes, or VMware through coursework, projects, or internships.
  • Familiarity with one or more infrastructure components like Cassandra, RabbitMQ, Elastic Search, Docker, Prometheus, or Grafana (hands-on project experience is a plus).
  • Interest in writing software with Testability, Observability, and Debuggability in mind for Cloud and On-prem solutions.
  • Willingness to learn the challenges of operating large-scale software and hardware systems and contribute to solutions.
  • Exposure to deployment and automation tooling such as Ansible, Helm, or Terraform (academic or personal projects acceptable).
  • Ability to write code, develop automated test cases, and learn to integrate them into CI/CD pipelines for continuous execution and quality management.
  • Understanding of building software leveraging REST or gRPC based APIs.
  • Customer-first mindset with interest in building and automating frameworks for UI/UX using modern automation and monitoring tools.
  • Attention to detail and willingness to learn monitoring infrastructure concepts such as OpenTelemetry and tools like Datadog or Signoz.
  • Actively participate in design discussions, ask questions, and learn from architectural decision-making with cross-functional stakeholders.
  • Collaborate well with peers and senior engineers, be receptive to feedback and mentorship, and ramp up quickly on team technologies.
  • Curious to learn and stay on top of the latest technology and tooling advancements, stay humble, and contribute to solving customer problems.

Preferred Qualifications:

  • Familiarity with AI/ML and AI Agentic frameworks and tools such as LangChain, FastAPI (coursework or projects count).
  • Exposure to AIOps/MLOps concepts or tools such as SageMaker, Databricks, Vertex AI, Azure ML, MLFlow.
  • Exposure to Cloud Native GitOps tools (ArgoCD, Argo Workflow, etc.).
  • Academic publications, hackathon participation, open-source contributions, or involvement in technical communities or professional organizations such as IEEE.

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.

#india

#networking

Job:

Engineering

Job Level:

TCP_02

    

    

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.

   

Recruitment Fraud Alert

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 score this

Software Systems Engineer-Devops at Hewlett Packard Enterprise scores 28 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsMl OpsLangChainVertex AIMlflowSagemakerDatabricks

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. What are the limits of LangChain that you've run into, and how did you work around them?
  4. What's a project where you used Vertex AI hands-on?
  5. Walk me through how you've used Mlflow in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI Agents, Ml Ops, LangChain, Vertex AI, and Mlflow. 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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