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Acceldata

Product Specialist, Cloud Support SME

Acceldata

. Provide support services to enterprise customers using Acceldata products, including assistance during engineering and operations of distributed systems and mission-critical production systems .

Posted 11/11/2026full-timeKitchener • CanadaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in managing and supporting distributed systems and cloud infrastructure, with a strong focus on troubleshooting and resolving technical issues in enterprise environments. Proficient in Hadoop operations and cloud technologies, ensuring effective customer support and collaboration.

Highest-signal resume keywords
10+ Years Experience In Distributed SystemsExpertise In Hadoop OperationsCloud Infrastructure Management (AWS, Azure, GCP)Docker And Kubernetes ConfigurationStrong Troubleshooting Skills In TCP/IP And Java

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Hadoop OperationsDocker ConfigurationKubernetes TroubleshootingCloud Infrastructure ManagementJava TroubleshootingTCP/IP TroubleshootingDatabase Management (MySQL, PostgreSQL)Security Configuration (KNOX, LDAP, Kerberos)Scripting (Bash, PowerShell, Python)Application Installation
Soft Skills
Excellent Written CommunicationExcellent Verbal CommunicationActive ListeningEmpathy
Tools & Technologies
Amazon Web Services (AWS)Microsoft AzureGoogle Cloud Platform (GCP)Helm ChartsLinuxWindowsNFSLogging ToolsVirtual Machine TechnologiesCommand Line Tools
Certifications & Qualifications
Cloud Provider CertificationKubernetes Certification
Industry Keywords
Enterprise SupportDistributed SystemsMission-Critical Production SystemsSecurity StandardsIncident ManagementQueue ManagementCustomer EscalationsOnboarding DeploymentsFeature Requests CoordinationCritical Support Needs

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsDNSDockerGoogle Cloud PlatformHadoopHDFSJavaKubernetesLinuxMySQLNFSNode.jsPostgresPythonTCP/IPYarnZookeeper

About the role

Key responsibilities & impact
  • Provide support services to enterprise customers using Acceldata products, including assistance during engineering and operations of distributed systems and mission-critical production systems
  • Manage day-to-day support cases, incidents, and escalations
  • Ensure issues receive appropriate focus and are resolved expediently
  • Document and record activity according to internal and external security standards
  • Research, reproduce, troubleshoot, and solve challenging technical issues
  • Listen actively to customers and empathize with the business impact of product issues
  • Participate in queue management and coordination by owning customer escalations and managing the unassigned queue
  • Perform proofs of concept and assist onboarding deployments of Acceldata and Hadoop distribution products
  • Triage, diagnose, and escalate customer inquiries during engineering and operations efforts
  • Collaborate and share solutions with customers and internal teams
  • Investigate product-related issues for individual customers and identify common trends
  • Study and understand critical system components and large cluster operations
  • Differentiate issues arising from operations, user code, or product defects
  • Coordinate enhancement and feature requests with product management and engineering
  • Work rotational shifts and participate in a rotational weekend on-call roster for critical support needs
  • Serve as a designated or dedicated engineer for specific customers, building long-term relationships, leading weekly status calls, and occasionally visiting customer sites

Requirements

What you’ll need
  • 10+ years of Experience with a highly-scalable, distributed, multi-node environment (50+ nodes)
  • At least 2+ years of experience with at least one of Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including managing and supporting cloud infrastructure
  • Docker and Kubernetes configuration and troubleshooting, including Helm charts, storage options, logging, and basic kubectl CLI
  • Expertise in Hadoop operations (Zookeeper, HDFS, YARN, Hive)
  • Authentication and security configuration and tuning (KNOX, LDAP, Kerberos, SSL/TLS; second priority: SSO/OAuth/OIDC, Ranger/Sentry)
  • Strong troubleshooting skills in TCP/IP, DNS, file systems, load balancing, databases, and Java
  • Bachelor’s degree in Computer Science or Engineering or equivalent experience
  • Excellent written and verbal communication skills in English
  • Prior enterprise support experience in a technical environment, including Java troubleshooting such as collection and evaluation of jstacks and heap dumps
  • Certification on leading cloud providers and/or Kubernetes (good to have)
  • Master’s degree (good to have)
  • Linux, NFS, Windows, application installation, scripting, and basic command line (good to have)
  • Experience with Bash, PowerShell, or Python (good to have)
  • Working knowledge of application, server, and network security management concepts (good to have)
  • Familiarity with virtual machine technologies (good to have)
  • Knowledge of MySQL and PostgreSQL (good to have)

Benefits

Comp & perks
  • PTO Plan with unlimited negative balance
  • RRSP Plan
  • Up to 100% employer-paid benefit options for health, dental, and vision coverage
  • Supplemental Benefits
  • Apple Air Mac Equipment
  • Office gym access (includes workout equipment, basketball court, and showers)
  • Becoming part of the team that coined the term “Data Observability”!