Ciena is hiring for Software Engineer
The job you are looking for is no longer available..- Company Name
- Ciena
- Company Website
- http://ciena.com/
- Experience
- 9 years
- Job Role
- Lead Python developer
- Job Type
-
- Experienced
- Job Location
-
- Haryana
- Education
-
- BE/BTech
- Branch
-
- CS
- IT
- Job will expire on
- 26 Jul 2024
Eligibility Criteria
- Bachelors/Master of Engineering in Computer Science with more than 9 years of relevant experience
- Software Development Experience in Python Development is a must involving Web Technologies.
- Working experience in NMS/EMS based Software systems
- Extensive development experience on Linux OS
- Understanding of Data Structures and Multi-threading concepts
- Excellent troubleshooting/debugging skills
- Excellent Problem-Solving skills
- High level of technical aptitude and software development experience on the public or private cloud
Job Description
- Designing, developing, and supporting software specializing in different NMS/EMS layers to support network elements using multiple technologies like DWDM, Optical Switches, and Multi-Service edge products
- Working with limited direction and is committed to delivering against aggressive deadlines as a self-starter
- Making key decisions and managing competing and ever-changing release priorities largely driven by the software development process
- Understanding the existing microservice-based architecture of Navigator MC software and deploying it on the RedHat OpenShift platform
- Thriving in a multi-disciplinary team environment but is comfortable working independently as required
- Understanding of the market and competitive developments and are always keen to formulate new ideas and problem-solve
- Developing a complete understanding of mid-sized features and proactively partnering with Systems Engineering to review and close feature requirements on time
- Creating an extensible design that accounts for expanded feature scope and anticipated future needs
- Analyzing recurring design defects within the feature/complex subsystem and implementing practices for early detection and avoidance across the features thus improving design quality
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