Software Engineer at Hewlett Packard Enterprise

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud ComputingIndustries

Requirements

Expertise in designing, developing, troubleshooting, and debugging software programs for enhancements and new products, including operating systems, compilers, routers, networks, utilities, databases, and Internet-related tools
Ability to determine hardware compatibility and/or influence hardware design
Developed subject matter expertise to solve common and complex technical problems, recommend alternatives, act as project lead, provide assistance to lower-level professionals, and exercise independent judgment
Proficiency in Python + C++ hybrid execution, including C-extensions for performance
Experience with core infrastructure: product packaging, upgrades, deployment orchestration, homegrown file-based telemetry database, distributed querying, data merging, system calls, IPC
Experience with data engineering: data synchronization from on-prem to cloud, data pipelines, ETL flows, data preparation/transformation/delivery, cloud enablement, sync logic (e.g., datasets, format normalization, usage signals)
Full-stack thinking for deep infrastructure, data-intensive workloads, distributed systems, real-time multi-version enterprise network workloads across campus, data center, and WAN fabrics
Ability to work in a hybrid model (average 2 days per week in HPE office)

Responsibilities

Maintain and enhance the backend platform powering Apstra’s configuration, telemetry, and analytics pipeline (60% of role)
Own product packaging, upgrades, and deployment orchestration
Manage homegrown file-based telemetry database (custom-built, optimized for performance)
Handle distributed querying, data merging, system calls, IPC
Implement Python + C++ hybrid execution, including C-extensions for performance
Enable data synchronization from on-prem Apstra to JCloud (40% of role)
Construct data pipelines and ETL flows to prepare, transform, and deliver telemetry for downstream cloud analytics consumers
Own cloud enablement and sync logic (e.g., example datasets, format normalization, usage signals)
Bridge on-prem legacy with cloud-native future, working across hybrid environments to modernize and integrate
Design, scale, and optimize distributed systems supporting real-time, multi-version enterprise network workloads

Skills

Key technologies and capabilities for this role

Software DevelopmentDebuggingOperating SystemsCompilersRoutersNetworksUtilitiesDatabasesData PipelinesCloud AnalyticsBackend InfrastructureTroubleshooting

Questions & Answers

Common questions about this position

Is this a remote position or does it require office work?

This role is designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

What programming languages or technologies will I be working with?

The role involves Python + C++ hybrid execution, including C-extensions for performance, along with work on homegrown file-based telemetry database, distributed querying, data merging, system calls, IPC, and data pipelines.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at HPE?

HPE's culture thrives on finding new and better ways to accelerate what’s next, values varied backgrounds, offers flexibility to manage work and personal needs, embraces bold moves together, and supports stretching and growing careers.

What kind of experience makes a strong candidate for this role?

Strong candidates have expertise in solving common and complex technical problems, experience with backend infrastructure, data engineering, Python and C++, performance optimization, and full-stack thinking for data-intensive workloads.

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters

1939Year Founded

IPOCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.

Competition from startups like Flywheel could impact HPE's AI and cloud services.

HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.

HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.

HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.

OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.

Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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