Integration Engineer at Ericsson

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