About this opportunity!
We are looking for an Integration Engineer with OSS experience to support exciting new opportunities with ENM/ENIQ-S implementations within Southern & East-Africa market and beyond. Your scope of work could include the scenarios of introduction, upgrade expansion, functionality and capacity. In this role, you would work closely with the Project Team to ensure the successful integration of the solution. You’ll work alongside Ericsson staff and third-party contractors to seek, test new hardware and solutions. Need to have a strong background in OSS portfolio deployment and experience with testing and scripting. You will have strong communication skills and be confident addressing a range of internal and external, technical and non-technical partners.
What you will do
Will support pre-sales activities, including pre-studies
Plan the implementation of the ENM/ENIQ-S product configuration / integration work
Execute product configuration
Execute integration and migration work
Prepare system test, module test and accept test
You would be working to identify and drive improvements
Post project activities
E2E technical understanding
Execute test
Scripting & coding
Knowledge-sharing and collaboration skills
You will bring
Education: Academic degree, minimum on bachelor level, in engineering (IT, Telecom)
Experience of deploy system test and lead testing team.
3 – 7 years solution integration experience
Domain experience: Network & Service Management; ENM, ENIQ-S, OSS-RC, SON-OM, NELS, CENX, Dynamic Orchestration, Adaptive Inventory & Expert Analytics
Additionally: knowledge of Telecom networking and telecommunication technologies (IP, Ethernet, Fiber) will be an added advantage
Experience with Linux, basic shell scripting (Python, Bash shell), Databases, NetBackup, BI Tools (Tibco Spotfire, SAP Business Objects)
Understanding of Security standards (SSL, LDAP, PKI, Certificates), Management Protocols (SNMP, NetConf, CORBA, SSH, TLS) & Virtualization/Cloud (OpenStack, Kubernetes, VMware), Artificial Intelligence (AI) and Machine Learning concepts
Creating & innovating
Applying expertise & technology
Learning and researching skills
Delivering results & meeting customer expectations
Need excellent planning and organizing skills
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