HPE Careers: Software Systems...

codingcircle; Bengaluru; On-site; INR 850,000 - 1,400,000; Full time

Benefits offered by this job

Health & wellbeing

Career growth & mobility

Inclusive culture

Job summary

Hewlett Packard Enterprise (HPE) Bengaluru campus seeks an entry-level Software Systems Engineer – DevOps (TCP_02). Join an onsite role for fresh graduates to design, debug, and deliver cloud-native software and networking features.

Expect onboarding under senior guidance and growth in AI-driven automation within datacenter networking. Responsibilities include building scalable software, API/microservices work, and contributing to IaC pipelines with CI/CD for reliable delivery and observability.

Qualifications

• Education: B.Tech or M.Tech in Computer Science, IT, or related field.
• 0-2 years of hands-on coding experience (academic projects, internships, or co-ops).
• Proficiency in Python, Golang, Java, C or C++.
• Foundational knowledge of Microservices, Distributed Systems, and IaC.
• Exposure to Kubernetes, Docker, KVM, OpenStack, VMware.

Responsibilities

• Design, write, troubleshoot, and debug scalable software applications and networking components under senior guidance.
• Own and deliver defined features within Cloud Native and Distributed Systems products.
• Write REST and gRPC-based microservices; ensure code quality and testability.
• Embed unit/integration tests into CI/CD pipelines for automation.

Skills

Python

Golang

Java

C

C++

Kubernetes

Docker

CI/CD

Ansible

Terraform

Education

B.Tech or M.Tech in CS/IT

Tools

LangChain

FastAPI

ArgoCD

Argo Workflows

OpenTelemetry

Job description

HPE Careers: Software Systems Engineer – DevOps (Bengaluru) | Entry Level / Junior

HPE Bangalore Full-time Fresher Not Disclosed Posted 1 day ago

Company :- Hewlett Packard Enterprise (HPE)
Job Title :- Software Systems Engineer – DevOps
Job Level :- TCP_02
Work Model :- Onsite (Office-based in Bengaluru)
Category :- Engineering & QA
Business Unit :- HPE Datacenter Networking
Target Experience :- 0-2 Years (Fresh Graduates, Internships, Entry Level)
Core Tech Stack :- Python, Golang, K8s, Microservices, Docker, Ansible, Terraform, AI Agents
Location :- Bengaluru, Karnataka, 560048, India

Job Summary

The HPE Datacenter Networking team is looking for an entry-level/junior Software Engineer with a passion for Cloud Native products, Distributed Systems, and AI-driven automation tools (AI Agents and Co-pilots). Working onsite from HPE’s Bengaluru campus, you will design, develop, troubleshoot, and debug software under the guidance of senior engineers, building high-impact features for large-scale datacenter networking and cloud-edge infrastructure.

Key Responsibilities

Cloud Native & Software Engineering

• Software Development: Design, write, troubleshoot, and debug scalable software applications, utilities, and networking components under senior guidance.
• Feature Delivery: Own and deliver well-defined features and subcomponents within HPE’s Cloud Native and Distributed Systems products.
• API & Microservices Architecture: Write clean, maintainable code relying on REST and gRPC-based microservices architecture.
• Quality & Testability: Write automated unit and integration tests, embedding them directly into CI/CD pipelines for continuous verification.

Infrastructure Automation & AIOps

• Infrastructure as Code (IaC): Work with cloud-native deployment tools like Docker, Kubernetes, Helm, Ansible, and Terraform.
• AI Agentic Automation: Leverage AI Agents, Co-pilots, and frameworks (e.g., LangChain, FastAPI) to optimize automated workflows, testing, and debugging.
• Observability & Monitoring: Implement observability frameworks using OpenTelemetry, Datadog, Signoz, Prometheus, or Grafana to maintain high system reliability.

Collaboration & Continuous Growth

• Code Reviews & Mentorship: Actively participate in peer code reviews, incorporate feedback, and rapidly ramp up on team tools and technologies.
• Cross-Functional Design: Engage in architectural design discussions with senior stakeholders, asking questions and learning key technical decision-making processes.

Qualifications & Candidate Profile

Required Qualifications

• Education: B.Tech or M.Tech in Computer Science, Information Technology, or a closely related engineering field.
• Experience: 0-2 years of hands-on coding experience (academic projects, internships, co-ops, or full-time experience).
• Programming Languages: Proficiency in writing clean code in Python, Golang, Java, C, or C++.
• Distributed & Cloud Native Systems: Foundational knowledge of Microservices, Distributed Systems, and Infrastructure as Code (IaC).
• Virtualization & Containerization: Exposure to virtualization/container management tools like Kubernetes, Docker, KVM, OpenStack, or VMware.
• Database & Messaging Tools: Familiarity with component infrastructure such as Cassandra, RabbitMQ, Elasticsearch, Prometheus, or Grafana.
• CI/CD & IaC Tooling: Hands-on exposure to Ansible, Helm, Terraform, or standard CI/CD pipeline automation.

Preferred Qualifications

• AI/ML & Agentic Frameworks: Exposure to LangChain, FastAPI, or AI Agentic development tooling.
• AIOps/MLOps Ecosystem: Familiarity with AWS SageMaker, Databricks, Vertex AI, Azure ML, or MLflow.
• GitOps Alignment: Exposure to GitOps delivery engines like ArgoCD or Argo Workflows.
• Academic & Community Impact: Hackathon participation, open-source contributions, academic publications, or active involvement in communities like IEEE.

What HPE Offers

• Health & Wellbeing: Comprehensive medical insurance coverage supporting physical, financial, and emotional wellness.
• Career Growth & Mobility: Dedicated learning programs, mentorship pathways, and lateral internal mobility across technical streams.
• Inclusive Work Culture: Unconditional inclusion, diversity initiatives, and flexible employee engagement models.

Extra Value Additions & Technical Insights

Estimated Salary Expectations

For entry-level Software Engineers (TCP_02) at HPE Bengaluru, the typical total compensation package ranges from ₹8,50,000 to ₹14,00,000 INR per annum, depending on academic background (B.Tech vs. M.Tech), prior internship experience, and performance during technical evaluations.

As highlighted in the job description, this role focuses on combining standard DevOps pipelines with modern AI Agents and Observability frameworks:

[ Code Repository (Git) ] ↓[ CI/CD Pipeline (GitHub Actions / Argo Workflows) ] ↓[ IaC Deployment (Terraform / Helm / Kubernetes) ] ↓[ Observability & Telemetry (OpenTelemetry / Prometheus / Grafana) ] ↓[ AI Agentic Analysis (FastAPI / LangChain / AIOps) ] ──> Auto-remediation & Alerting

Architectural Blueprint: AI-Driven DevOps Pipeline

As highlighted in the job description, this role focuses on combining standard DevOps pipelines with modern AI Agents and Observability frameworks:

[ Code Repository (Git) ] ↓[ CI/CD Pipeline (GitHub Actions / Argo Workflows) ] ↓[ IaC Deployment (Terraform / Helm / Kubernetes) ] ↓[ Observability & Telemetry (OpenTelemetry / Prometheus / Grafana) ] ↓[ AI Agentic Analysis (FastAPI / LangChain / AIOps) ] ──> Auto-remediation & Alerting

Technical Interview Preparation Guide

Candidates interviewing for this position should focus on four primary evaluation pillars:

• Coding & Problem Solving: Brush up on Data Structures and Algorithms (DSA) in Python or Golang, focusing on hash maps, graphs, trees, and string manipulation.
• Cloud & Container Concepts: Be prepared to explain how Docker containers differ from VMs, how Kubernetes manages pod lifecycles, and how REST/gRPC endpoints function.
• DevOps & CI/CD Tooling: Understand basic Ansible plays, Terraform state management, and Git-based developer workflows.
• AI & Automation Curiosity: Be ready to talk about any projects where you used AI APIs (OpenAI/LangChain) or automation tools to streamline debugging or code generation.

Target Resume Keywords

Incorporate these industry terms into your resume to optimize for Applicant Tracking Systems (ATS) and tech screener reviews:

Technical & Tooling Keywords

• Cloud Native Systems & Distributed Architecture
• Kubernetes (K8s), Docker, Helm, ArgoCD
• Terraform, Ansible, Infrastructure as Code (IaC)
• Python, Golang, Microservices, REST API, gRPC
• OpenTelemetry, Prometheus, Grafana, Datadog
• AI Agents, LangChain, AIOps, FastAPI

Methodological & Engineering Keywords

• CI/CD Pipeline Integration
• Automated Unit & System Testing
• Datacenter Networking & Virtualization
• Code Quality, Observability & Debuggability
• Technical Mentorship & Cross-Functional Collaboration

Frequently Asked Questions (FAQs)

1. Is this a remote or work-from-home role?

No. This role is designated as Onsite, requiring employees to work primarily from HPE’s campus in Whitefield, Bengaluru (560048).

2. Are fresh graduates eligible to apply?

Yes. B.Tech or M.Tech fresh graduates (0 years experience) with strong foundational programming skills and relevant project experience in Python, Golang, or Cloud technologies are encouraged to apply.

3. What is the Job Level identifier for this posting?

This position is categorized under job level TCP_02 within HPE’s technical job hierarchy.

4. What sets the HPE Datacenter Networking team apart?

The team builds cloud-native distributed networking systems and is actively integrating AI Agents, Co-pilots, and AIOps frameworks to automate software troubleshooting, telemetry, and infrastructure monitoring.