Lead Software Engineer - Network Management & Observability

Lead Software Engineer – Network Management & ObservabilityThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Job Description:

In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you.

What you will do:

1. Design, develop, and maintain Network Topology Management accuracy and reliability.

2. Build and optimize topology discovery and processing pipelines for L2 and L3 relationships.

3. Debugging and resolve topology defects.

4. Improve topology reconciliation, graph consistency, and end-to-end observability.

5. Collaborate with backend, frontend, network domain, SRE, and product teams to deliver NTM-first solutions.

6. Build operational tooling and diagnostics for fast root-cause analysis in distributed systems.

7. Contribute to Network Configuration Management as secondary focus, including backup, compliance, remediation, and restore reliability.

8. Improve user-facing workflows for topology and configuration operations in UI experiences.

9. Support production readiness through testing, monitoring, performance tuning, and incident response.

10. Identify and drive improvements in reliability, scalability, and maintainability of NTM and NCM systems.

11. Design and develop vast and various Network topologies in virtual using different tools like Netlab, Containerlab, etc

What you need to bring:

1. 8-12+ years of software engineering experience in scalable enterprise systems.

2. Strong Java Programming: Proficiency in writing robust, scalable Java applications with a solid grasp of core development fundamentals, object-oriented design, and micro services architecture.

3. Core Networking Expertise: Deep understanding of network fundamentals, including L2/L3 concepts (VLANs, Routing), gateway protocols (BGP), and secure tunnels (IPsec, GRE).

4.  Advanced Problem-Solving: Exceptional analytical and algorithmic problem-solving skills, with a track record of debugging complex systems and tackling distributed engineering challenges.

5. Hands on experience with any of network device OS like Arista (EOS), Cisco (NXOS, IOS, XE-IOS), Juniper (Junos), Aruba, etc.

6. Hands on experience with tools like Docker, Containerlab, Netlab, postman, etc.

7. Must have knowledge on SNMP Domain skills and hands on experience with network devices CLI.

8. Experience with APIs, asynchronous workflows, and data processing pipelines.

9. Experience debugging production issues across service, data, and UI layers.

10. Ability to design robust retry, failure handling, and recovery mechanisms.

• MUST strong AI-First SDLC skills.
• Good Exposure on the AI agents/skills/workflows to automate the work. 
• Strong collaboration and communication skills.
• Strong problem-solving mindset with focus on operational impact and customer outcomes.

Good to have:

1. Network Discovery & Observability: Experience with network discovery, topology reconciliation at scale, and observability tooling for logs, metrics, and traces.

2. Full-Stack Capabilities: Hands-on exposure to front-end development, particularly React and TypeScript, for operational UI integrations.

3. Systems Engineering: Experience with performance tuning, reliability engineering, and building resilient cloud architectures.

4. Security & Design: A security-first mindset when building multi-tenant systems, coupled with strong cross-domain knowledge and design-thinking principles.

5. Release Management: Familiarity with modern CI/CD pipelines and agile release management.

6. Community Engagement: Open-source contributions, technical blogs, or architecture notes related to networking or distributed systems.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

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.

#india#hybridcloud

Job:

Engineering

Job Level:

TCP_04

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.