Hypatos logo
Hypatos

Deep Learning Technologies to automate document processing - we are HIRING!

Technical Support Engineer, Customer Care

Support EngineerSupport EngineerFull TimeRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

17 hours ago

Salary

0

Seniority

Senior

Job Description

Technical Support Engineer, Customer Care

Hypatos

• Respond to technical incidents with defined SLA compliance • Diagnose and resolve complex technical issues across the AI stack • Escalate critical issues to appropriate technical teams when needed • Document incident resolutions and maintain knowledge base • Adopt latest monitoring tools and support methodologies • Implement standards and innovation in support processes • Collaborate with delivery teams to improve solution reliability • Provide technical feasibility input during solution design • Act as technical expert during customer escalations • Provide clear communication on incident status and resolutions • Deliver technical guidance on system optimization and best practices • Monitor AI solution performance across all customer environments • Implement proactive monitoring systems and alerting mechanisms • Perform regular health checks and preventive maintenance activities • Track system metrics and identify performance optimization opportunities

Job Requirements

  • Experience as a Technical Support Engineer, DevOps Engineer, or SRE in enterprise software or SaaS environments
  • Education in the field of IT, Computer Science, Engineering or similar
  • Strong background in system monitoring, troubleshooting, and incident management
  • Experience with AI/ML systems, APIs, and integration platforms is a strong plus
  • Proficiency in monitoring tools (Prometheus, Grafana, ELK stack, or similar)
  • Understanding of cloud platforms (AWS, Azure, GCP) and containerization
  • Experience with database systems, log analysis, and performance tuning
  • Knowledge of emerging AI technologies, LLMs, and agent frameworks
  • Problem-Solving: Understanding of enterprise integration patterns and system architecture
  • Strong problem-solving skills with ability to architect complex automated solutions
  • Data driven mindset, skill in making quick, well-founded decisions by considering various options and selecting the best solution.
  • Understanding of technical standards, architecture, and compliance requirement
  • Communication Skills: Fluent in English (both written and verbal), with the ability to clearly explain technical issues to non-technical audiences.
  • Customer service mindset with ability to communicate technical issues clearly
  • Nice to have: Experience in finance domains such as P2P, O2C, R2R, H2R, FP&A, or other GBS use cases is a strong plus.
  • Previous experience working with ITIL Incident, Change and Problem Management processes is a plus.
  • Containerized applications (Docker and K8s), Machine Learning (PyTorch, NumPy, pandas)
  • Experience working with Enterprise ERP systems (e.g., SAP, Oracle, Workday, MSD365) and Business Software/SaaS applications.

Benefits

  • personal development budget
  • meal allowance
  • sporting activities
  • free beers
  • hybrid working model

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