Sr Specialist System Engineering - Cloud Security Engineer

Job Description:

Mobility Core and Network Services (MCANS) team is part of the Network CTO organization that oversees the global mobile and fixed network technology direction for AT&T, which includes the design of the company s 5G and IMS infrastructure.

This team is responsible for the architecture, design, certification, testing and delivery of advanced Mobility Core network functions and Network Services applications, including for IP multimedia systems and packet data, which are the future of Mobility services and experiences. The team contributes to the growth and development of end-to-end wireless network services across Consumer, Enterprise, Internet of Things (IOT), FirstNet and public sector products.

This position is part of a team that collaborates with client project teams in the development of Mobility Cloud platform delivery, CI/CD workflow automation. This is a very dynamic and exciting role that will allow for exposure to emerging mobility, virtualization and cloud technologies! We are seeking candidates who are eager to learn and grow their skills as part of a diverse, talented and energetic group of professionals working in the areas of cloud computing, data analytics, software development and technology delivery.

REQUIRED SKILLS/QUALIFICATIONS

Cloud Security

Deep understanding of security concepts such as software vulnerabilities, encryption, logging, firewall, SSL, TLS, key vault, security group, container registry, stateful firewall, WAF, NAT, access-list, perimeter security, identity, and access management Skilled in understanding vulnerabilities, assessment of the risk, and the impact on the software, image, VM, Kubernetes clusters, and cloud platforms Skilled in various Azure cloud security and platform technologies Skilled in working with internal security groups and vendors for security fix delivery and verification. Skilled vulnerabilities and security exception write-up, creating reports and dashboard Execute and utilize the tools to run the scan and generate reports

Cloud Computing

Deep understanding of virtualization, containerization, and Infrastructure as Code (IaC) concepts Skilled in various cloud platforms, e.g., Nokia Cloudband, Redhat OpenShift (OCP), Microsoft Azure Skilled in programming skills in a language like Python, JavaScript, or Java Good knowledge of networking concepts Test planning and execution

Data Analytics

Experienced with programming languages like Linux Shell, Python for data manipulation and analysis Good experience in Alarm treatment, analysis, and ticket generation Experienced with SQL and relational databases Understanding of data visualization and statistics

Software Development & Delivery

Deep understanding of Docker, OpenStack, and Kubernetes Experienced Continuous Integration/Continuous Deployment (CI/CD) Familiarity with Azure and ADO concepts Administrator level expertise in Linux Experienced in Ansible and Python scripting Experienced in YAML and JSON file types and their usage Basic familiarity of GO language and GIT

Telecom Industry (not mandatory but a plus):

Centralized Data Management: Understanding of centralized data repositories and real-time data access.
Real-time Data Access: Familiarity with low-latency data retrieval and real-time decision-making processes.
High Performance and Scalability: Experience with scalable data management solutions and performance optimization.
Data Security and Privacy: Knowledge of data security measures and compliance with industry standards.
Interoperability and Integration: Ability to integrate SDL with various network elements and third-party applications using standard protocols and APIs.

EDUCATION REQUIREMENT

Bachelors Degree in a STEM discipline e.g. Computer Science, or Engineering.

PREFERRED QUALIFICATIONS

Telecom Industry (not mandatory but a plus):

Basic understanding of telecommunications, network architecture, and wireless communication protocols. Exposure to network analysis and telecom-specific data sources. Familiarity with geospatial analysis, IoT, edge computing, and security and privacy concepts in the telecom industry.

Artificial Intelligence/Machine Learning (not mandatory but a plus):

Awareness of machine learning frameworks and concepts. Basic understanding of mathematics relevant to AI/ML. Familiarity with data preprocessing and model evaluation techniques

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