Software Systems Engineer-Devops
Hewlett Packard Enterprise (HPE)
About the role
Hewlett Packard Enterprise (HPE) is a global edgeβtoβcloud leader that helps organisations connect, protect, analyse and act on data wherever it lives β 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 companyβs 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 cuttingβedge projects that serve Fortuneβ500 customers. HPEβs emphasis on inclusion and flexibility ensures that fresh talent can grow while balancing personal aspirations.
The role of Software Systems EngineerβDevops is an entryβlevel position within the Datacenter Networking team. You will work on cloudβnative products and distributed systems, contributing to the design, development, testing and debugging of software that powers largeβscale networking infrastructure. Under the guidance of senior engineers, you will gain handsβon experience with automation, AIβdriven agents and modern DevOps tooling.
Key Responsibilities
- Design, develop and troubleshoot software components for networking utilities, databases and internetβrelated tools.
- Write clean, testable code in Python, Golang, Java, C or C++ and contribute to code reviews.
- Build and maintain infrastructureβasβcode 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 onβprem and cloud services.
- Collaborate with crossβfunctional teams to resolve production issues and improve system reliability.
- Explore AI/ML frameworks such as LangChain or FastAPI to prototype intelligent automation.
- Contribute to knowledgeβsharing sessions, internal wikis and openβsource 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 AIβOps, Cloud Solutions or Technical Program Management roles.
Why Join HPE: You will be part of a worldβrenowned technology brand that invests heavily in employee development, offers exposure to cuttingβedge cloudβnative 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, coβops or academic projects); Strong programming fundamentals and a passion for DevOps and cloudβnative technologies.
Skills & stack
Selection process
- Round 1: Online coding assessment (DSA and basic DevOps problems)
- Round 2: Technical interview (design, system concepts, coding)
- Round 3: HR interview (fit, motivations, culture)
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
Explain OOP (Object-Oriented Programming) principles with real-world examples in Python. Answer
What is the time and space complexity of QuickSort vs MergeSort? Answer
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer
What happens under the hood when you enter a URL in a browser? Answer
What is the difference between REST and GraphQL APIs? Answer
Behavioural & HR questions 3
Highlight Hewlett Packard Enterprise (HPE)'s market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.