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About the role

  • Senior Technical Support Operations Lead at HPE, the global edge-to-cloud company. Leading enterprise escalations, technical investigations, and scalable support operations in a hybrid Canada role.

Responsibilities

  • Provide hands-on technical leadership for complex enterprise support cases and production incidents
  • Reproduce issues, review diagnostics, analyze logs and packet captures, investigate performance, and perform root-cause analysis
  • Diagnose issues across distributed systems, Linux, networking, storage, data platforms, object storage, APIs, cloud-native platforms, observability solutions, and AI infrastructure
  • Act as a technical bridge among customers, Technical Support, Product Engineering, R&D, Professional Services, Product Management, and business unit teams
  • Coordinate complex technical escalations through resolution or an actionable technical outcome
  • Define and improve technical elevation processes into Product Engineering, including criteria, quality standards, diagnostic requirements, JIRA workflows, and access models
  • Support onboarding and operational readiness for new customers, products, services, and bundled solutions
  • Monitor account health, support trends, escalations, production risks, SLA performance, backlog, entitlement status, and recurring product issues
  • Coordinate corrective action plans, engineering engagement, executive communication, and operational follow-up
  • Define and improve data-driven support measurements including first-response SLA, time to resolution, MTTR, priority, severity, backlog, and customer-impact indicators
  • Analyze and improve operational data and workflows using Salesforce, Salesforce CLI, SOQL, Salesforce reporting and dashboards, JIRA, SAP S/4HANA Fiori, and related systems
  • Contribute to Salesforce enhancements involving field visibility, email workflows, entitlement accuracy, elevation functionality, knowledge integration, reporting quality, and data integrity
  • Support readiness and escalation processes for HPE Data Fabric, Private Cloud AI, IT operations, Hybrid Observability, OpsRamp, and related solutions
  • Develop scalable support procedures, technical documentation, training material, troubleshooting guidance, standard operating procedures, and reusable best practices
  • Replace informal communication channels with documented processes, defined ownership models, and repeatable workflows
  • Use approved AI-assisted tools such as ChatGPT and Claude for technical analysis, documentation, communication, workflow design, and operational efficiency
  • Contribute to AI and automation initiatives including prototyping, structured data analysis, retrieval-augmented generation concepts, notebooks, and AI-assisted support workflows
  • Provide technical mentorship, process guidance, knowledge transfer, and operational leadership as a senior individual contributor
  • Support global enterprise customers and internal stakeholders across North America and Europe

Requirements

  • Bachelor’s degree or equivalent professional experience
  • Master’s degree, MBA, or equivalent advanced education preferred
  • 7 or more years of experience in technical support, support operations, technical account services, escalation management, professional services, solutions architecture, systems engineering, or comparable customer-facing technical role
  • Strong hands-on troubleshooting across enterprise software, distributed systems, networking, storage, data platforms, cloud-native environments, observability platforms, or AI infrastructure
  • Experience analyzing logs, system traces, packet captures, API responses, performance data, monitoring output, entitlement records, case histories, JIRA records, and customer reproduction scenarios
  • Practical networking and protocol-level diagnostic experience, including tcpdump, Wireshark, HTTP, FTP, DNS, TLS, proxies, gateways, routing, load balancing, firewalls, and enterprise network troubleshooting
  • Experience with Linux or Unix environments, shell scripting, Python or similar scripting languages, API testing tools such as Postman or equivalent, and structured technical investigation methods
  • Working knowledge of distributed systems, enterprise software, SaaS and cloud products, data platforms, object storage, and modern hybrid-cloud architectures
  • Experience with Product Engineering or R&D escalation processes
  • Understanding of enterprise support operations, including customer onboarding, case management, entitlement, contracts, licensing, order management, renewals, escalation paths, and support readiness
  • Hands-on familiarity with Salesforce reporting, dashboards, SOQL, Salesforce CLI, JIRA, SAP S/4HANA Fiori, or comparable enterprise operational systems
  • Experience working with complex, multi-divisional, multi-geographical enterprise customers, preferably including director-level and executive stakeholders
  • Familiarity with Kubernetes, AI and machine learning infrastructure, retrieval-augmented generation, Jupyter notebooks, observability platforms, or cloud-native operations
  • Strong analytical, organizational, problem-solving, and prioritization skills
  • Comfortable working across global teams, cultures, and time zones
  • Excellent written and verbal communication skills in English
  • German language skills strongly preferred
  • French language skills are an asset

Benefits

  • Comprehensive benefits supporting physical, financial, and emotional wellbeing
  • Personal and professional development programs
  • Flexible work and personal needs management
  • Inclusive workplace
  • Variable incentives may also be offered
  • Accessibility accommodations during the application or interview process

Job type

Full Time

Experience level

Senior

Salary

CA$172,000 - CA$222,000 per year

Degree requirement

Bachelor's Degree

Tech skills

CloudDistributed SystemsDNSFirewallsKubernetesLinuxPythonShell ScriptingUnix

Location requirements

HybridMississaugaCanada

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