Medior L1 Support Engineer

Posted 4 Days Ago
Be an Early Applicant
2 Locations
Mid level
Software
The Role
As a Medior L1 Support Engineer at NGDATA, you will provide Level 1 support to international clients, handle issue flow, troubleshoot a variety of technical problems, and collaborate with various internal teams. You will also assist in improving best practices and participate in QA regression testing.
Summary Generated by Built In

NGDATA’s purpose and our way of achieving this purpose is greatly impacted by our solution, the Intelligent Engagement Platform. As Support Engineer, you'll play a vital role in ensuring that our international clients and partners receive the top-notch support they deserve. You'll be part of a dynamic and skilled team of professionals in our support and operations department, and you'll have the opportunity to make a meaningful impact on the way we deliver our support services to clients.
Opportunities
 

  • Provide L1 support to NGDATA’s international clients and partners
  • Report and work closely together with the support service manager and the other L1 support engineers, as well as collaborating with the QA team
  • Work closely together with NGDATA’s Professional Services and Product & Engineering teams
  • Continuous learning possibilities on SaaS solution offerings and contribute to the delivery of value to our customers and partners
  • Work in a SaaS environment with Big Data and AI/ML technologies.


tasks and Responsibilities
 

  • Handle Level 1 support for NGDATA on a 24/7 basis with your colleagues
  • Manage the flow of issues reported by the client and handle communication with clients and different stakeholders within NGDATA
  • Research, diagnose, troubleshoot, and identify solutions to resolve issues
  • Help the support team to improve on best practices, be it on scripting, troubleshooting, internal or external communication or knowledge base documentation; and
  • Follow standard procedures for proper escalation of unresolved issues to the appropriate internal teams.
  • Occasionally, supporting the QA team during regression testing of a new product release.


competence profile
Background/Education requirements

  • BSc/BE/BTech degree in Information Technology, Computer Science or relevant field is mandatory

Experience/Skill requirements

  • Minimum of 3 years in support engineering roles, with advanced troubleshooting techniques and the ability to manage more complex issues.
  • Knowledge of Big Data Technologies (Hadoop ecosystem), Linux and shell scripting .
  • Experience with SaaS service monitoring systems (Atlassian Opsgenie, Grafana, etc.). 

Personal Competences

  • Analytical skills to diagnose and troubleshoot issues effectively
  • A team player who can collaborate effectively with colleagues and different stakeholders
  • The ability to work well under pressure and remain stress-resistant, even during high-pressure situations
  • A strong desire to learn and develop new skills
  • A proactive approach to problem-solving, with the ability to take initiative when needed
  • Excellent communication, coordination, and documentation skills to ensure effective communication with clients and colleagues
  • Fluency in English is essential, both in oral and written communication, as you'll be working with international clients and colleagues

Top Skills

Linux
The Company
57 Employees
On-site Workplace
Year Founded: 2012

What We Do

NGDATA is a global digital experience company that partners with businesses to harness the power of data to drive customer-centricity.
Our solutions centralize customer data and use AI modeling and machine learning to recommend industry-specific, omnichannel customer engagement journeys. These recommendations build lasting relationships with customers, and drive business impact through retention and an increase in wallet share and market share.
In over a decade of experience collaborating with data-rich industries including financial services, telecommunications, media and entertainment, utilities, and hospitality; NGDATA's cutting-edge technology and team of experts have delivered more than half a billion personalized recommendations for companies around the world

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