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Blue Planet Advanced Technical Support: BPUAA Support EMEA

Ciena

Blue Planet Advanced Technical Support: BPUAA Support EMEA

Ciena

2 Locations

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Flexible Work

Required Skills

Linux

Shell scripting

Kubernetes

Docker

Java

Python

PostgreSQL

SNMP

REST APIs

Debugging

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact.

How You Will Contribute

As part of Ciena’s Blue Planet Global Support team, you will provide advanced post-sales support for the **Unified Assurance and Analytics (UAA)**and Blue Planet product suite.You’ll serve as the key technical contact for customers—resolving complex issues, developing automation solutions, and collaborating with Engineering and Product teams to drive continuous improvement.

Key Responsibilities:

  • Serve as the primary contact for Blue Planet customer cases, with a focus on UAA.

  • Diagnose and resolve production and non-production issues in collaboration with internal teams.

  • Develop Unix/Shell scripts to automate monitoring, data collection, and alarm generation.

  • Perform root cause analysis (RCA) and document resolutions and learnings.

  • Share customer feedback with PLM and R&D to inform future product enhancements.

  • Support occasional off-hours or weekend activities; limited travel may be required.

The Must Haves

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Experience: 3+ years in software technical support, preferably in telecom or network management domains.

  • Technical Expertise:

Strong Linux and scripting (Shell) skills.

  • Proficiency with Kubernetes,Docker, and microservices deployment.

  • Familiarity with PostgreSQL,Neo4j,Click House.

  • Familiarity with Kafka,Nagios,Grafana,Prometheus,Kibana.

  • Hands-on experience with Java,Python, and tools such as tcpdump,jstack,jmap.

  • Understanding of SNMP,Netconf,TL1,REST APIs,Telemetry,Syslog,ICMP,SSH.

  • Experience with GitHub,Bitbucket,SVN,JIRA, or Salesforce.

  • Strong analytical, debugging, and communication skills with a customer-first approach.

  • Ability to work independently and collaborate across a globally distributed team.

Assets (Nice to Have)

  • Experience in cloud environments (AWS, Azure, GCP, Open Shift).

  • Exposure to fault and performance analytics,GenAI, or Agentic AI.

  • XML and SQL knowledge.

  • Prior experience with telecom vendors or network management systems.

Not ready to apply?

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At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.

Ciena is an Equal Opportunity Employer, including disability and protected veteran status.

If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

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About Ciena

Ciena

Ciena

Series C

Ciena collaborates with customers to unlock the strategic potential of their networks and change the way they perform and compete.

5,001-10,000

Employees

Linthicum Heights

Headquarters

Reviews

3.9

10 reviews

Work Life Balance

4.2

Compensation

2.8

Culture

4.1

Career

3.8

Management

2.5

68%

Recommend to a Friend

Pros

Good work-life balance

Great learning opportunities and mentorship

Smart colleagues and team environment

Cons

Below average/low salary compared to industry

Mass layoffs and job insecurity

Stressful work environment

Salary Ranges

73 data points

Mid/L4

Senior/L5

Mid/L4 · Lead, Data Engineering

1 reports

$206,590

total / year

Base

$158,915

Stock

-

Bonus

-

$206,590

$206,590

Interview Experience

1 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

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience