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Software Systems Engineer-Devops

Hewlett Packard Enterprise (HPE)

  • Bengaluru, India
  • 6 LPA - 12 LPA
  • 2 Years
  • Posted Today
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About the role

Hewlett Packard Enterprise (HPE) is a global edge‑to‑cloud leader that helps organisations connect, protect, analyse and act on data wherever it lives – from the edge to the cloud. With a presence in over 150 countries, HPE drives digital transformation for enterprises across industries, offering a portfolio that spans networking, compute, storage, and intelligent edge solutions. The company’s culture is built on collaboration, innovation and a commitment to sustainability, encouraging employees to experiment, learn and make a tangible impact on the world.

In India, HPE has a strong foothold in Bengaluru, Hyderabad, and other tech hubs, employing thousands of engineers, consultants and sales professionals. The Indian workforce benefits from continuous learning programmes, mentorship from senior technologists, and exposure to cutting‑edge projects that serve Fortune‑500 customers. HPE’s emphasis on inclusion and flexibility ensures that fresh talent can grow while balancing personal aspirations.

The role of Software Systems Engineer‑Devops is an entry‑level position within the Datacenter Networking team. You will work on cloud‑native products and distributed systems, contributing to the design, development, testing and debugging of software that powers large‑scale networking infrastructure. Under the guidance of senior engineers, you will gain hands‑on experience with automation, AI‑driven agents and modern DevOps tooling.

Key Responsibilities

  • Design, develop and troubleshoot software components for networking utilities, databases and internet‑related tools.
  • Write clean, testable code in Python, Golang, Java, C or C++ and contribute to code reviews.
  • Build and maintain infrastructure‑as‑code artefacts using Terraform, Ansible, Helm or similar tools.
  • Develop CI/CD pipelines and automated test suites to ensure continuous quality.
  • Participate in design discussions, ask clarifying questions and document architectural decisions.
  • Implement observability features using Prometheus, Grafana, OpenTelemetry or Datadog.
  • Create and consume REST/gRPC APIs for integration with on‑prem and cloud services.
  • Collaborate with cross‑functional teams to resolve production issues and improve system reliability.
  • Explore AI/ML frameworks such as LangChain or FastAPI to prototype intelligent automation.
  • Contribute to knowledge‑sharing sessions, internal wikis and open‑source style contributions.

Tech Stack: Python, Golang, Java, C/C++, Kubernetes, Docker, OpenStack/KVM, VMware, Terraform, Ansible, Helm, Prometheus, Grafana, Cassandra, RabbitMQ, ElasticSearch, REST, gRPC, OpenTelemetry, Datadog.

Growth Path: Starting as a junior engineer, you can progress to Senior Software Engineer, Lead Engineer, and eventually Architect or Product Manager, with opportunities to move into AI‑Ops, Cloud Solutions or Technical Program Management roles.

Why Join HPE: You will be part of a world‑renowned technology brand that invests heavily in employee development, offers exposure to cutting‑edge cloud‑native and AI technologies, and provides a supportive, inclusive environment where fresh ideas are welcomed. The role promises rapid skill acquisition, mentorship from industry veterans and a clear career trajectory within a company that values innovation and societal impact.

Eligibility & process

Who can apply

B.Tech or M.Tech in Computer Science, Information Technology or related engineering discipline; Minimum 60% aggregate (or CGPA 6.5/10); No active backlogs at the time of joining; Fresh graduates or candidates with up to 2 years of relevant experience (including internships, co‑ops or academic projects); Strong programming fundamentals and a passion for DevOps and cloud‑native technologies.

Skills & stack

Python Go Java C++ Kubernetes Docker Terraform Ansible

Selection process

  1. Round 1: Online coding assessment (DSA and basic DevOps problems)
  2. Round 2: Technical interview (design, system concepts, coding)
  3. Round 3: HR interview (fit, motivations, culture)

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Python, Go, Java, C++, Kubernetes, Docker, Terraform, Ansible) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Hewlett Packard Enterprise (HPE) Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
Explain OOP (Object-Oriented Programming) principles with real-world examples in Python. Answer
Model answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer
Model answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer
Model answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer
Model answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer
Model answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Behavioural & HR questions 3
Why do you want to join Hewlett Packard Enterprise (HPE) as a Software Systems Engineer-Devops?
Highlight Hewlett Packard Enterprise (HPE)'s market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Hewlett Packard Enterprise (HPE) 6 LPA - 12 LPA
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