Hewlett Packard Enterprise

Software Engineer

• Design, develop, and deliver reliable, scalable, and maintainable features for enterprise virtualization platforms.
• Own assigned features and components through design, implementation, testing, and maintenance.
• Collaborate with senior engineers and architects during design discussions and implementation reviews.
• Participate in code reviews and design reviews to ensure compliance with engineering standards and best practices.
• Contribute to improving code quality, performance, scalability, and resiliency of the platform.

Developer – Virtualization

Operations

• Provides overall people-care management for direct reports, including hiring, setting, and monitoring of annual performance plans, coaching, and career development; drives and fosters organization-wide performance standards, expectations, and practices to support ongoing team member and process development.
• Lead Product master data control and governance team within PLM, ERP and MDM systems ensuring data accuracy and integrity, and continuous improvements.
• Drives NPI readiness and Mfg partner collaboration – ensuring data readiness, timely release, and secured data communication.
• Partner with cross functional teams across Order Management, Finance, Services, Supply chain, and IT to streamline end to end data management.
• Lead Business unit level data transformation and integration efforts, aligning tools and workflows with HPE’s enterprise and AI strategy.
• Define product and services data quality policies, standards, procedures, audit controls, and Business continuity plans aligned with Enterprise and ONEPLM digital strategy.
• Enable accurate & timely NPI setup and sustenance product structuring, change management, extension and maintenance of Material Master (MM), BOM & Variant configuration across Engineering, Corporate, Sales, re-biller & fulfillment plants.
• Manages headcount, deliverables, schedules, and costs for multiple ongoing projects and programs, ensuring that resources are appropriately allocated and that goals, objectives, timelines, and budgets met in accordance with program and organizational roadmaps.
• Identify and execute master data process automation opportunities using AI that enhance operational scalability and data accuracy.
• Manages relationships with outsourced partners and suppliers, including setting expectations regarding deliverables, product quality, schedules, and costs; ensures that team members are effectively communicating and collaborating with outsourced resources.

Product and Services Data Operations Manager – HPE Networking Aruba

Cloud Engineer

• Designing, implementing, and optimizing Data Plane layer of SDN enhancements for VM Essentials customers
• Debugging and fixing software issues in highly scalable deployments
• Collaborating with cross-functional engineering teams for seamless integration
• Optimizing performance of SDN in distributed, cloud based software architecture

Cloud Developer

SDET

• Responsible for providing solid support of Networking Products that involve customer-specific tests for a release, product, and solution.
• Develop and maintain expertise on the products deployed within the Specific Customer Networks.
• Designs limited enhancements, updates, and programming changes for portions and subsystems of systems software, including operating systems, compilers, networking, utilities, databases, and Internet-related tools.
• Analyzes design and determines coding, programming, and integration activities required based on specific objectives and established project guidelines.
• Executes and writes portions of testing plans, protocols, and documentation for assigned portion of application; identifies and debugs issues with code and suggests changes or improvements.
• Participates as a member of a project team of other software systems engineers and internal and outsourced development partners to develop reliable, cost-effective and high-quality solutions for assigned systems portion or subsystem.
• Collaborates and communicates with internal and outsourced development partners regarding software systems design status, project progress, and issue resolution.

Test Automation Engineer III

Systems Engineer

• Manage account and partner responsibilities for selected accounts in assigned territory.
• Provide the optimum combination of hardware, software, and services to meet complex customer needs.
• Play a role in the development of bids, proposals, and presentations of solutions.
• Deliver technical presentations to customers, partners, and potential prospects.
• Manage channel partners to help drive business and deliver demand generation events.
• Develop account relationships to identify additional opportunities.
• Use in-depth product knowledge to provide technical expertise to sales staff and customers.

Principal Presales, Systems Engineer – Global/Major Accounts

Product Marketing

• Build and Lead Product Marketing for Cloud Ops Suite
• Define the Cloud Ops Suite narrative and positioning — unifying messaging across observability, automation, and resilience.
• Build the GTM foundation: audience segmentation, messaging house, campaign and launch plans, and measurement frameworks.
• Develop sales enablement, proof points, and campaigns that make the value clear and repeatable for HPE sellers and partners.
• Align product, sales, and marketing teams to shared goals, customer value, and growth priorities.
• Partner closely with Product Management to translate roadmap and innovation into clear customer value propositions.
• Work with Sales leadership to define motions, plays, and enablement assets that convert awareness into revenue.
• Own the Cloud Ops Suite marketing strategy and measurable outcomes — from thought leadership and content to demand generation.
• Develop and execute launch and awareness strategies that elevate HPE’s role in the hybrid cloud and AIOps markets.
• Track and optimize marketing impact across awareness, engagement, and pipeline conversion metrics.
• Build the long-term PMM org structure to support growth across the suite.
• Codify best practices in launch execution, messaging, and sales enablement — turning early wins into repeatable systems.

Director, Product Marketing – HPE Cloud Ops Suite

• Manage account and partner responsibilities for selected accounts in assigned territory
• Provide optimum combination of hardware, software, and services to meet complex customer needs
• Play a role in the development of the bid, proposal, and presentation of the solution to the prospect
• Deliver technical presentations to customers, partners, and potential prospects
• Manage channel partners to help drive business and deliver demand generation events
• Develop account relationships over time to continue to deliver advice to the customer and identify additional opportunities
• Prepare detailed product specifications for development and implementation of customer products/applications/solutions

Principal Presales Engineer

• Develop technical proficiency across the combined HPE Networking portfolio—Aruba wired/wireless, ClearPass, Central, Juniper switching, routing, security, and automation.
• Partner with sales teams to understand customer needs, design solutions, and deliver technical presentations and demos.
• Create architectures and proposals aligned with customer objectives; lead proof-of-concept (POC) activities.
• Participate in advanced training programs and certifications to deepen expertise in HPE and Juniper technologies.
• Work with internal teams and partners to ensure successful solution positioning and adoption.

Presales Systems Engineer, HPE Networking – K12/Local

Financial Planning and Analysis

• Lead the configuration, testing, and deployment of SAP S4 Finance and Controlling modules with a particular focus on Financial compliance-related processes and controls/ Localization
• Design, implement, and optimize business processes within SAP FICO, ensuring alignment with regulatory requirements (e.g., SOX, etc.)
• Manage and execute integration projects between SAP S/4HANA and third-party applications, ensuring seamless data transfer, process consistency, and system reliability
• Collaborate with internal and external stakeholders to gather requirements, analyze business needs, and deliver high-quality SAP solutions
• Develop and maintain documentation for configuration, testing, integration, and compliance processes
• Troubleshoot and resolve complex issues related to SAP FICO and third-party integrations
• Keep abreast of SAP best practices, new technologies, and compliance standards to ensure continuous improvement
• Participates as a subject matter expert and leads cross-functional development teams
• Makes recommendations to leadership based on insights and analysis of cross-functional and complex business requirements.
• Designs complex cross-functional solutions for others to code.
• Provides mentoring and guidance to other developers.
• Oversees or makes recommendations on design, preparation, and execution Unit tests.
• Sets team strategy and direction while representing the team to senior management and client/customers.
• Develops innovative multi-team solutions to complex problems with substantial impact to HPE’s strategic technical direction.
• Spend a preponderance of time in strategic and creative problem solving.
• Demonstrates broad functional leadership, impacting significant technical direction, and exerts influence outside of immediate team and drives change.
• Applies in-depth or broad technical knowledge to manage global maintenance services across various technology areas or functions.
• Performs solution designs.
• Applies the company and third-party technologies and leads the design of highly complex infrastructure and software solutions, while driving innovation.
• Independently implements end-user or enterprise infrastructure or services of significant complexity.
• Integrates technical expertise and business understanding to create superior solutions for the company and customers.
• Considered a subject matter expert internally and is consulted with by team members and other organizations, customers, and vendors on complex issues.

Finance Functional Architect

Security Engineer

• Participate as a member of an IT technical team or teams.
• May lead a small team of support engineers or application.
• Independently implement end-user or enterprise infrastructure application or services of moderate complexity as prepared by more senior technologist in support of more complex solutions.
• Apply technical knowledge to operate and administer infrastructure or software platforms and user groups of moderate to high complexity.
• Independently resolve some highly complex technical issues within a given technical area.
• Partner with members of a given team or other IT teams as appropriate.
• May act as an Incident Life Cycle coordinator or service delivery lead to provide resolution for complex issues.
• Identify potential escalations and proactively alert management, lead escalation through L4.
• Proactively search for issues and provide solutions to prevent problems from occurring in area of responsibility including patch management.
• Independently review, implement and verify highly complex and high-risk changes and solutions.
• Mentor other team members.
• Ensure configuration management database entries are complete and accurate.
• Understand and keep abreast of existing and new HPE security requirements as well as HPE IT’s data handing strategies and requirements, always keeping things within those specifications.
• Design and implement data center security systems including intrusion detection, threat and ransomware prevention, identity and access management systems, cryptography standards.
• Define security requirements, best practices and policy documentation for configuration of Servers, Networks and Applications.
• Monitor and Analyze network traffic and security agent notifications. Document all procedures, configurations, specifications, requirements, strategies, processes and everything that you do for training of others to increase the effectiveness of the security program.

Cybersecurity Support Analyst

• Driving business relationships and engaging in understanding business processes
• Providing solutions on java-based Configuration & pricing applications
• Fostering an environment that drives performance and quality in customer satisfaction
• Ensuring IT solutions meet or exceed business expectations
• Analyzing and committing deliverables for project requirements
• Preparing functional design for given applications
• Engaging development teams for timely deliverables
• Identifying gaps and providing sustainable solutions
• Recommending and implementing end-to-end life cycle of projects
• Proficiency in business modeling, data analysis, and visualization tools

IT Developer – Engineer

Program Manager

• Manages customer project delivery with high complexity and risk.
• Manages project financials including P&L.
• Identifies and develops new opportunities with client.
• Mentors and encourages skill development of project team members.

Senior Strategic Program Manager

Full-stack Engineer

• Architect and implement libfabric CXI providers (user-space and kernel-assisted paths): Endpoint, MR, CQ, and queue models SR-IOV-aware abstractions and resource sharing
• Develop and maintain libcxi and related user-space libraries: Efficient interaction with the CXI User Driver Retry handling, error propagation, and performance tuning
• Enable and optimize CXI support across ecosystem components: MPI (OpenMPI, MPICH) NCCL / RCCL / GPU-aware communication SHMEM, storage, and AI frameworks
• Drive performance engineering: Latency, bandwidth, and scaling across multi-NIC and multi-GPU systems Benchmarking, profiling, and customer workload analysis
• Collaborate with kernel driver teams to co-design clean, scalable APIs
• Contribute to upstream communities (libfabric, OpenMPI, NCCL) as appropriate
• Provide technical leadership through design reviews, mentoring, and roadmap definition

Principal Software Engineer – Libfabric, User-Space Networking

Senior Developer – Virtualization

• The Senior AI Engineer owns end-to-end delivery of AI features—from design to production—while raising the engineering bar through code quality, reliability, and mentoring.
• The engineer will convert architecture into robust implementations, proactively manage risks, and ensure observable, secure, and performant AI systems.
• Translate high-level designs into clear component contracts, APIs, and service boundaries.
• Implement LLM integrations, RAG pipelines, agents, tool/function calling, and prompt strategies.
• Own feature delivery for sprints/releases; maintain high code quality and documentation.
• Fine-tune models when needed; design evaluation harnesses and metrics.
• Build A/B testing setups; track accuracy, latency, robustness, and task success rates.
• Conduct error analysis; iterate using feedback efficacy loops and prompt refinement.
• Build ETL/ELT pipelines; curate datasets with metadata, lineage, and validation.
• Implement vector indexing (chunking, embeddings, reranking), tune chunk size & overlap.
• Enforce data governance: PII handling, redaction, consent, auditability.
• Containerize workloads (Docker); orchestrate deployments (Kubernetes/Helm).
• Own CI/CD for ML: train → evaluate → package → deploy → monitor → rollback.
• Maintain model/agent registries, experiment tracking, and reproducible environments.
• Build microservices and async inference paths; support batch/stream processing.
• Integrate with enterprise auth, observability, telemetry, and logging.
• Write unit/integration/e2e tests, performance benchmarks, and failure-injection tests.
• Instrument with metrics/logs/traces; define SLOs (latency, throughput, error rate).
• Optimize inference: batching, caching (KV cache), quantization, token efficiency.
• Implement guardrails (safety filters, jailbreak detection), auto-evals and alerts.
• Apply secure coding practices; manage secrets, encryption, and least privilege.
• Ensure compliance (data residency, consent, audit trails); respect IP policies.
• Enforce policy-based access and content safety in user-facing features.
• Review designs/PRs; coach L3 engineers on best practices.
• Coordinate with AI Architects, Data Engineers, QA, and Product.