HPE is hiring for the position of Software Systems Engineer – Devops in Bengaluru, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Hewlett Packard Enterprise (HPE) |
| Position | Software Systems Engineer – Devops |
| Qualifications | B.Tech or M.Tech |
| Experience | 0-2 (Years) |
| Location | Bengaluru, India |
Key Responsibilities:
- Develop, enhance, troubleshoot, and debug software applications and features under the guidance of senior engineers.
- Contribute to the development of networking software, utilities, databases, and Internet-related tools while gaining a strong understanding of hardware and software interactions.
- Assist in designing and implementing software enhancements for cloud-native products and distributed systems.
- Collaborate with senior engineers to deliver well-defined product features and software components with measurable business impact.
- Apply foundational software engineering knowledge and innovative thinking to solve technical problems of moderate complexity.
- Learn continuously through code reviews, technical mentorship, and collaborative team initiatives to improve software development skills.
- Leverage large-scale automation technologies, including AI Agents and Copilots, to enhance software development efficiency and problem-solving.
- Participate in the design, development, testing, and maintenance of high-quality software solutions.
- Work closely with cross-functional teams to ensure the successful delivery of reliable and scalable software products.
- Gradually take ownership of larger software components and contribute to the continuous improvement of product functionality and performance as technical expertise grows.
Eligibility Criteria:
- Bachelor’s or Master’s degree (B.Tech/M.Tech) in Computer Science or a related technical discipline.
- 0–2 years of hands-on programming experience, including internships, co-op programs, or academic projects, using Python, Golang, Java, C, or C++.
- Strong foundational knowledge of distributed systems, cloud-native software development, microservices architecture, and Infrastructure as Code (IaC) concepts.
- Familiarity with virtual infrastructure management platforms such as KVM, OpenStack, Kubernetes, or VMware through academic coursework, projects, or internships.
- Basic hands-on experience with infrastructure technologies such as Cassandra, RabbitMQ, Elasticsearch, Docker, Prometheus, or Grafana is an added advantage.
- Understanding of software development best practices with a focus on testability, observability, and debuggability for cloud-based and on-premises solutions.
- Willingness to learn the challenges of managing large-scale software and hardware environments and contribute to effective technical solutions.
- Exposure to deployment and automation tools such as Ansible, Helm, or Terraform through academic, personal, or professional projects.
- Ability to write clean, maintainable code, develop automated test cases, and integrate them into CI/CD pipelines for continuous testing and quality assurance.
- Good understanding of developing and consuming RESTful or gRPC-based APIs.
- Customer-focused mindset with an interest in building and automating UI/UX testing frameworks using modern automation and monitoring tools.
- Strong attention to detail and a willingness to learn monitoring and observability technologies, including OpenTelemetry, Datadog, and SigNoz.
- Ability to actively participate in technical design discussions, ask insightful questions, and learn from architectural decision-making processes.
- Strong collaboration and communication skills, with the ability to work effectively with peers and senior engineers while being receptive to feedback and mentorship.
- Curiosity to continuously learn emerging technologies, tools, and industry best practices while maintaining a collaborative and growth-oriented mindset.
Preferred Skills:
- Familiarity with AI/ML concepts and AI agent frameworks such as LangChain and FastAPI through coursework or personal projects.
- Exposure to AIOps and MLOps platforms and tools, including SageMaker, Databricks, Vertex AI, Azure ML, or MLflow.
- Knowledge of cloud-native GitOps tools such as Argo CD and Argo Workflows.
- Participation in hackathons, open-source projects, academic research, technical publications, or professional organizations such as IEEE is considered an advantage.
About Company:
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 diverse 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.
How To Apply?
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
- To be redirected to the official website, click on the apply link.
- Fill the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
