Technical Manager Production Support jobs at Att in India, Hyderabad

Roles and responsibilities:

Well-versed in emerging industry technologies & trends.

Identify and manage Risks

Coordinate the execution of strategic initiatives

Participate in regular meetings with various stake holders, develops action plans to improve performance.

defining business and/or technical requirements, defining the projects scope and work schedules, estimating necessary resources, allocating capital and expense funding, and reconciling the actual expenses to estimates to keep the project within budget.

Qualifications – Required / Desired Skills

• Team Lead / Technical Manager
• Excellent communication skills
• Good technical skills on Database and Cloud infra.
• Good power point and excel skills.
• Ability to multitask and keep deadlines.
• Impeccable managerial and interpersonal skills.
• Proven track record of effectively interacting with senior management.
• Ability to work strategically and collaboratively across departments.
• Effective, versatile, and action-oriented

Minimum Experience required:

• Minimum of 5-7-year experience in data insight/Science
• Minimum of 3 years’ experience in managing a team of at least 10.
• Must have experience with technical and People management responsibilities.
• Extensive experience in on-prem to cloud migration
• Flexible to work in shift model.
• Strong SQL, Oracle, Mango DB skills and experience in production support /implementation
• Desired to have working knowledge of Cloud Migration projects.

Time Type:

AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Time Type:

AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Job Description:

Job Description:

• Should have Production Operations experience (specially handling production environment) 3-8 years.
• Experience on Ticketing tools like JIRA/ServiceNow/AOTS etc. is a must.
• Effective communication skills; verbal, non-verbal and written.
• Provide technical support to users of generative AI systems.
• Assist with user training and onboarding for new AI tools and features
• Experience with monitoring tools and platforms (e.g. Grafana).
• Deploy AI models on Azure cloud infrastructure.
• Strong knowledge of Azure cloud, Open AI and Python.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Strong communication and collaboration abilities.
• Ability to work in a fast-paced, dynamic environment.
• Good understanding and exposure to Agile framework.

Roles and Responsibilities:

• Should be responsible to provide technical support, administrative support and troubleshoot the issues for the day-to-day operations. Should be able to resolve the technical issues to meet the SLA's.
• Should also be responsible for monitoring the systems, providing technical assistance, managing incidents, and ensuring efficient workflows.
• Providing 24×7 operational support to all production practices on holidays and weekends.
• Coordinating with various teams and raise support ticket for all issues, analyze root cause and assist in efficient resolution of all production tickets.
• Maintaining logs of all issues and ensure resolutions according to quality assurance tests for all production processes.
• Acting as the point of contact for the data warehouse production eco system
• Candidate should enhance the quality by value adds, automation, optimization etc.

Key Competencies and Skills

• Azure, Azure AI, Python, Linux, Mango DB, Natural language processing (NLP) and large language models (LLMs), SQL

Education and Qualifications:

• Must have bachelor’s degree or master’s degree in science / computer applications or equivalent.

Time Type:

AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Job Description:

Job Description:

• Should have Production Operations experience (specially handling production environment) 5-10 years.
• Experience on Ticketing tools like JIRA/ServiceNow/AOTS etc. is a must.
• Effective communication skills; verbal, non-verbal and written.
• Experience with Generative AI Production Support and responsible for the ongoing maintenance, monitoring, and support of generative AI systems in production.
• Provide technical support to users of generative AI systems.
• Assist with user training and onboarding for new AI tools and features
• This role ensures the stability, performance, and reliability of AI models and infrastructure, addressing any issues that arise promptly and effectively.
• Experience with monitoring tools and platforms (e.g. Grafana).
• Integrate AI models into existing systems and workflows.
• Deploy AI models on Azure cloud infrastructure.
• Automate deployment processes using CI/CD pipelines.
• Strong knowledge of Azure cloud, Open AI and Python.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work in a fast-paced, dynamic environment.
• Good understanding and exposure to Agile framework.

Roles and Responsibilities:

• Should be responsible to provide technical support, administrative support and troubleshoot the issues for the day-to-day operations. Should be able to resolve the technical issues to meet the SLA's.
• Should also be responsible for monitoring the systems, providing technical assistance, managing incidents, and ensuring efficient workflows.
• Providing 24×7 operational support to all production practices on holidays and weekends.
• Coordinating with various teams and raise support ticket for all issues, analyze root cause and assist in efficient resolution of all production tickets.
• Maintaining logs of all issues and ensure resolutions according to quality assurance tests for all production processes.
• Acting as the point of contact for the data warehouse production eco system
• Candidate should enhance the quality by value adds, automation, optimization etc.
• L2 support manages the tickets that L1 routes to them. This support team can also generate tickets for any problem they notice. L2 support specialists have more skills, more experience in solving complicated problems relevant to them and can help L1 support people troubleshoot problems.

Key Competencies and Skills

• Azure, Azure AI, Python, Linux, Mango DB, Natural language processing (NLP) and large language models (LLMs),

Education and Qualifications:

• Must have bachelor’s degree or master’s degree in science / computer applications or equivalent.

Time Type:

AT&T is a fair chance employer and does not initiate a background check until an offer is made.