Technical Lead
2 weeks ago
Profile: Technical Lead
WFH and WFO (Optional)
Job description:
- Applied RD (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
- 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 (eg 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
Desired Skills:
1. Familiarity with network management and L2 layer domain knowledge: Knowledge of network management and familiarity with L2 layer domain are advantageous.
2. Familiarity with C/C++ is desirable.
3. Experience with SQL databases is a plus.
4. Familiarity with Oracle databases is beneficial.
5. Proficiency in Unix/Linux environments is preferred.
6. Experience with Agile methodologies is a bonus.
Required Skills:
1. The candidate should possess solid hands-on expertise in Core Java.
2. Proficiency in React for developing user interfaces is essential.
3. Experience with Spring and/or Hibernate frameworks is required.
4. Strong understanding and practical application of data structures are necessary.
5. Working knowledge of Kafka is a must-have.
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