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Sr Specialist System Engineering
AT&T
posted 5d ago
Job Role Insights
Key skills for the job
Job Description
- 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
- 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.
- 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
Employment Type: Full Time, Permanent
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