Sr Specialist System Engineering

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:

Bachelor's Degree in a STEM discipline e.g. Computer Science, or Engineering.

Weekly Hours:

Time Type:

Location:

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.