Family Description
Applied R&D (AR) consists of target-oriented research either with the goal of solving a particular problem / answering a specific question or for multi-discipline design, development, and implementation of hardware, software, and systems including maintenance support. Supplies techno-economic consulting to clients. AR work is characterised by its detailed and complex nature in order to systematically combine existing knowledge and practices to further developing and incrementally improving products, operational processes, and customer-specific feature development.
Subfamily Description
Software (SWA) comprises the definition, specification, and allocation of requirements from different sources utilising knowledge of systems engineering processes (specification & architecture). Contains processing of use case and feature requirements into conceptual models, operational scenarios, technical requirements, and functional description. Covers specification, design, implementation, and unit testing of Software (e.g. device drivers, microcode, hardware-related software & firmware) according to the requirements and architecture defined in the systems engineering process. Covers establishment and maintenance of Software Configuration Management (SCM) practices into software development projects, continuously building and integrating infrastructure tools and systems.
A strong individual contributor with 15+ years of testing experience in EMS/NMS or OSS. Experience in defining test strategy, writing exhaustive test plans and automating test cases Very good knowledge in RHEL [or unix based] operating systems with an ability to write scripts Knowledge and work experience on containerization (Docker, Kubernetes), cloud native architecture, cloud security Good domain knowledge in OTN, DWDM, SDH/SONET, Ethernet & GMPLS transport protocols. Conduct tests, analyse and diagnose results and report bugs. Database: Experience on Oracle or equivalent database systems Knowledge on Hadoop File System [HDFS], Pinot, PostGres sql, Spark and Hive QL Strong analytical and debugging skills. Good verbal and written communication skills