Systems Software Engineer at Hewlett Packard Enterprise

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

09 Aug, 26

Salary

0.0

Posted On

11 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Go, C, Python, Embedded Linux, Kafka, Apache Storm, Airflow, Redis, Elasticsearch, Linux Internals, TCP/IP, Distributed Computing, Microservices, DevOps, Cloud Architecture, Network Diagnostics

Industry

IT Services and IT Consulting

Description

Systems Software Engineer This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: 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 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Job Family Definition: Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design. Management Level Definition: Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others. What You'll Do Own and extend the Minis platform across embedded (AP firmware, switches, gateways) and cloud (data pipelines, SLE classifiers, REST APIs) — designing how tests are scheduled, executed in sandboxed environments (Linux namespaces, cgroups, ulimits), and how results flow to the cloud via Kafka to SLE classifiers Debug cross-layer issues — troubleshoot problems that span AP firmware, cloud services, and data pipelines (e.g., why a downloadable mini fails on specific AP models, why SLE classifiers show incorrect data) Contribute to cross-platform expansion — help extend Minis to switches and WAN edge devices, working with peer dev teams Build and improve cloud services — work on Storm topologies, Airflow DAGs, Redis caching, Elasticsearch queries, and Kafka consumers that process millions of Minis test results Participate in production operations — monitor rollouts of features and respond to customer-reported issues Collaborate with senior engineers, the data science team, QA, and firmware teams What you need to bring: Experience: 10+ years of professional software engineering, with at least 4 years building software that spans both embedded/device and cloud systems Education: BS in Computer Science, Electrical Engineering, or a related technical field (MS preferred) Go or C on embedded Linux: 4+ years writing production software in Go or C targeting Linux-based embedded platforms — meaning you have built, debugged, and shipped code that runs on resource-constrained devices, dealt with cross-compilation toolchains, and managed process lifecycle on embedded Linux. Python for cloud/data/tooling: 2+ years writing Python for cloud services, data pipelines, scripting, or test automation — meaning you can build and maintain production scripts, work with data processing frameworks, and write tooling that other engineers rely on. Cloud data pipelines: 3+ years building or operating real-time and batch data pipelines — you have hands-on experience with at least two of: Kafka, Apache Storm/Flink, Airflow, Redis, or Elasticsearch, and can make architectural trade-off decisions (e.g., when to use streaming vs. batch, how to handle backpressure, how to design baselines) Linux systems: Deep working knowledge of Linux internals — process isolation (namespaces, cgroups), resource management (ulimits, CPU/memory profiling), networking (iptables, routing tables, network namespaces), and debugging tools (gdb, strace, tcpdump, perf). You should be the person others come to when something is wrong at the OS level. Networking fundamentals: Working understanding of TCP/IP, DNS, DHCP, ARP, HTTP, and network path diagnostics (traceroute, MTR) — sufficient to design network tests, interpret results, and troubleshoot failures across the client-to-cloud path Production delivery: Track record of owning and shipping multi-component features across device and cloud, working within production push cadences, and managing rollout (e.g., alpha → staging → production, feature flags) Preferred Qualifications Experience with embedded Linux development — cross-compilation, on-device debugging, resource-constrained environments Experience with AI/ML at the edge — on-device inference, model optimization, or TinyML Familiarity with wireless networking (802.11), AP hardware platforms, or firmware release processes Experience with container orchestration (Docker, Kubernetes) in both cloud and embedded contexts Contributions to self-driving/autonomous systems — closed-loop remediation, config validation, or automated testing Experience working with chipset/silicon vendors (Broadcom, Qualcomm) Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX) What We Can Offer You: 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. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #networking Job: Engineering Job Level: TCP_04 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. 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. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Responsibilities

Own and extend the Minis platform across embedded firmware and cloud services, designing test scheduling and data pipelines. Debug cross-layer issues spanning AP firmware and cloud services while collaborating with data science and QA teams.