refresh

Trending companies

Trending companies

Ericsson
Ericsson

Telecommunications equipment company

Support Engineer

RoleMachine Learning
LevelMid Level
LocationBrunei Darussalam
WorkOn-site
TypeFull-time
Posted2 months ago
Apply now

Required skills

Go

Machine Learning

Customer Service

Join our Team

About this opportunity:
We are seeking a dedicated and dynamic Support Engineer to join our innovative team. In this role, you will provide data-driven solutions to customer-reported problems in alignment with established processes and contracted Service Level Agreements. Focusing on fault prevention, identification, resolution, and stabilisation, you will expand your knowledge of our products, solutions, customer networks, and emerging technologies. With increasing experience, you'll take on a more instrumental role in handling operational and technical issues for our valued customers, specific solutions, or domains.

What you will do:

  • Own Customer Service Requests, managing them from contract validation, through issue resolution.

  • Play an active role in emergency situations to ensure timely restoration of customer networks.

  • Oversee SLA and KPI performance, driving enhancements through consultative approaches to ensure customer satisfaction and contractual fulfillment.

  • Conduct data-driven support, assisting in the prevention of service or performance degradation for our customers.

  • Plan and execute contracted software implementations in customer networks, maintaining functionality and efficiency.

  • Implement appropriate corrective actions in the event of unsuccessful software loading.

The skills you bring:

  • Customer Problem Management.

  • Change and Improvement Management.

  • Preemptive support competence.

  • CS Portfolio competence.

  • Data Analysis.

  • Negotiation.

  • Customer Success.

  • Machine Learning.

  • Customer Relationship Building.

  • CSR Handling Process.

  • Trade Compliance.

  • Knowledge Transfer and Reuse.

  • Knowledge Sharing and Collaboration Skills.

  • Release and change management.

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: Brunei Darussalam (BN) || Brunei

Req ID: 776390

Total Views

0

Total Apply Clicks

0

Total Mock Apply

0

Total Bookmarks

0

About Ericsson

Ericsson

Ericsson

Public

An information and communications technology company that offers network services

10,001+

Employees

Kista

Headquarters

$21.5B

Valuation

Reviews

22 reviews

3.9

22 reviews

Work-life balance

3.8

Compensation

2.5

Culture

3.2

Career

3.4

Management

3.1

65%

Recommend to a friend

Pros

Good work-life balance and flexible hours

Supportive colleagues and teamwork

Learning opportunities and innovative projects

Cons

Low compensation and salary concerns

Slow career progression and limited growth

Management transparency and leadership issues

Salary Ranges

97 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Data Scientist

0 reports

$58,962

total per year

Base

-

Stock

-

Bonus

-

$50,014

$67,810

Interview experience

9 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Offer

Common questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience