Verified Job
IT / Software / Data Analyst
Software Liquid Spectrum Applications Intern (Fall 2026)- job post Ciena
IT / Software / Data Analyst
#760791
Remote / WFH
Ciena
Job Description
Full job description
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.
The Opportunity:
Join the Liquid Spectrum (LQS) Applications team and contribute to software applications and algorithms that help telecommunications network operators analyze, optimize, and plan their optical networks. This role offers hands-on experience developing tools and applications focused on optical network performance while collaborating with experienced engineers. Exposure to software development, data analysis, and optical networking technologies will be gained in a fast-paced engineering environment.
How you will make an impact:
Develop and improve software applications and tools.
Analyze large datasets to identify insights into optical network performance.
Collaborate with engineers throughout the software development lifecycle.
Contribute to the design, implementation, and testing of software solutions.
Apply technologies used in optical networking.
The must haves:
Education: Actively enrolled in a Bachelor's or Master's degree program in Computer Science, Computer Engineering, or a related field,
A strong interest in photonics and optical networking.
Solid programming skills in Python and Javascript.
Experience using git for version control.
Comfortable working in a Linux/bash command-line environment.
Excellent written and verbal communication skills.
Ability to work effectively both independently and as part of a team.
Nice to haves:
Frontend development with technologies like React.
Containerized application development (Docker, docker-compose).
Distributed/parallel workloads.
Working with large datasets.
Data engineering pipelines (e.g., Snowflake).
Relational databases (e.g., PostgreSQL).
Configuring Jenkins or Teamcity.
Pay Range:
The hourly pay range for this position is $25 to $32
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.
The Opportunity:
Join the Liquid Spectrum (LQS) Applications team and contribute to software applications and algorithms that help telecommunications network operators analyze, optimize, and plan their optical networks. This role offers hands-on experience developing tools and applications focused on optical network performance while collaborating with experienced engineers. Exposure to software development, data analysis, and optical networking technologies will be gained in a fast-paced engineering environment.
How you will make an impact:
Develop and improve software applications and tools.
Analyze large datasets to identify insights into optical network performance.
Collaborate with engineers throughout the software development lifecycle.
Contribute to the design, implementation, and testing of software solutions.
Apply technologies used in optical networking.
The must haves:
Education: Actively enrolled in a Bachelor's or Master's degree program in Computer Science, Computer Engineering, or a related field,
A strong interest in photonics and optical networking.
Solid programming skills in Python and Javascript.
Experience using git for version control.
Comfortable working in a Linux/bash command-line environment.
Excellent written and verbal communication skills.
Ability to work effectively both independently and as part of a team.
Nice to haves:
Frontend development with technologies like React.
Containerized application development (Docker, docker-compose).
Distributed/parallel workloads.
Working with large datasets.
Data engineering pipelines (e.g., Snowflake).
Relational databases (e.g., PostgreSQL).
Configuring Jenkins or Teamcity.
Pay Range:
The hourly pay range for this position is $25 to $32
