Cloud - Azure Administrator

Role – Senior Specialist Cybersecurity – Azure Systems Administration

Location: Hyderabad / Bengaluru

About the Company:

Join AT&T and reimagine the communications and technologies that connect the world. Our Chief Security Office ensures that our assets are safeguarded through truthful transparency, enforce accountability and master cybersecurity to stay ahead of threats. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won't just imagine the future-you'll create it

About the Role:

Our team is seeking an experienced technologist to join our Cybersecurity team. The Azure Systems Administrator will support and enhance our growing cloud infrastructure for existing security products and upcoming initiatives related to AI. This role will focus on Azure system administration, disaster recovery planning and execution, and identity & access management (IAM), working closely with our compliance and security teams. The candidate must have excellent analytical and problem-solving skills, be self-motivated, have strong communication and documentation skills, and a background in computer science, data science, or engineering with Cybersecurity familiarity.

Roles & Responsibilities:

The Individual in this role will

• Administer and maintain Azure resources including Virtual Machines (VMs), storage, networking, backups, and monitoring.
• Assist with the design, implementation, and testing of disaster recovery and business continuity solutions in Azure.
• Manage and improve Azure Identity and Access Management (IAM), including users, groups, roles, policies, and Azure Active Directory (AAD/Entra ID).
• Support compliance, security tooling, and DevOps automation as needed.
• Provide expertise in Azure services such as Virtual Machines, Azure Kubernetes Service (AKS), App Services, Azure SQL, and Storage Accounts.
• Ability to leverage Azure and M365 AI Services (e.g., AI Foundry, Copilot Studio, Power Automate) to enhance organizational processes.

Required Skills:

• Over 8 years experience in Azure systems and related infrastructure.
• Strong knowledge of Azure services (VMs, Storage, Networking, Backups, Azure Monitor).
• Proven experience administering Azure infrastructure (5-8 years).
• Relevant Azure certifications (e.g., Azure Administrator Associate).
• Expertise in Identity & Access Management (Azure Active Directory, Managed Identities, OAuth).
• Familiarity with compliance and security best practices in Azure environments.
• Ability to work with DevOps automation tools and processes.
• The candidate must have excellent analytical and problem-solving skills, be self-motivated and work independently

Desired Skills:

• Self-reliant and diligent in follow-through for assigned tasks
• Ability to work with a geographically disperse team
• Engaged collaborator, contributor and team player
• Flexible to provide coverage in US morning hours on a need-basis, and as required
• Experience working in an environment where coordination with multiple teams is essential to success
• Ability to prioritize individual/group work in a high-stress and time-bound environment
• Bachelor's / Master's degree in data science, Information Systems, Engineering, Mathematics. Computer Science or Cyber Security or equivalent experience.

Additional information (if any):

• Should be flexible to provide coverage in US morning hours
• Should be flexible to provide weekend coverage as required

Good to have AI knowledge / experience:

1. Familiarity with applying Artificial Intelligence (AI) or Machine Learning (ML) techniques in cybersecurity contexts (e.g., anomaly detection, threat hunting, behavioral analytics, or risk scoring).

2. Experience leveraging AI-enabled tools (such as Copilot for Security, Darktrace, CrowdStrike Charlotte AI, or custom LLM integrations) to enhance detection, response, and automation workflows.

3. Understanding of LLM safety, prompt engineering, or AI governance frameworks (e.g., NIST AI RMF, EU AI Act readiness) is a plus.

4. Exposure to data science fundamentals relevant to security (pattern recognition, supervised vs. unsupervised learning, model validation).

5. Awareness of AI-driven risks (e.g., adversarial ML, data poisoning, model hallucination) and their mitigation within enterprise environments.

6. Interest in leveraging GenAI for security operations, such as summarizing alerts, drafting reports, or automating incident triage.