Sr Specialist System Engineering

Job Description

Job description Their areas of responsibility may include: Assist in deploying Networks, Kubernetes clusters and ADO pipelines Assist in mobile core design call flows testing and troubleshooting Integrate mobile core designs and tech insertion with Jira and end to end Testing to create a design for test framework Analyze service requirements and assumptions to devise and record solutions, while meticulously maintaining comprehensive release documentation and tech insertion plans Translate service and platform requirements into test case requirements for End-to-End testing of LTE and 5G core networks and drive automation of test object lists Enthusiastic about exploring and implementing innovative methods to enhance test coverage, release/test automation, and release efficiency Qualifications: Solid understanding of software development life cycle (SDLC) and quality assurance methodologies. Basic knowledge of programming languages (e.g., Python, Java, C#) and scripting languages. Familiarity with process improvement models (e.g., CMMI, ISO Standards) is a plus. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Ability to adapt and learn new technologies quickly. Preferred Skills: ISTQB Tester Certification Experience with version control systems (e.g., Git) and artifact repositories (JFrog) Knowledge of Agile and DevOps methodologies. Familiarity with continuous integration/continuous deployment (CI/CD) pipelines. Understanding of performance metrics and quality indicators. Experience with cloud platforms, particularly Microsoft Azure. Familiarity with one-touch deployment automation tools and techniques. Understanding of containerization technologies like Docker and orchestration tools like Kubernetes. Understanding of 5G/4G (3GPP) network infrastructure and its components. Experience with Call Flow Analysis and working knowledge of IPv4 and IPv6 protocols, network routing, BGP and NAT Familiar with pipeline logging best practices for error handling Working experience with Spirent Landslide and its API Strong knowledge of cloud infrastructure such Azure and resources like Azure Clusters, VMs, Storage Container and Azure Key Vault and how they can be used in the ADO pipelines Strong background in Kubernetes cluster deployment and maintenance as well as container application deployment Git repository, good working knowledge of performing git pull, commit, push requests and how to manage code merges Hands-on knowledge on Linux based system Can develop ADO Pipeline from scratch Comfortable writing pipelines in YAML syntax Experience with network simulation and testing tools. Knowledge of network protocols and telecommunications standards Education Requirement: Bachelors Degree in a STEM discipline e.g. Computer Science, or Engineering.