Senior Tws Infra Support - Blumenau, Brasil - Mout'S Soluções em TI

Mout'S Soluções em TI
Mout'S Soluções em TI
Empresa verificada
Blumenau, Brasil

há 4 semanas

Ana Silva

Postado por:

Ana Silva

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Descrição
Descrição da vaga

Who we are
For centuries, the experience of sharing a beer has brought people and cultures together. Even in our hyper-connected, always-on world, this simple act is as meaningful today as it was generations ago.
We are Ambev Global Tech. Committed to driving growth that leads to better living for more people in more places. Through brands and experiences that bring people together. Through our dedication to brewing the best beer with the best ingredients. And through our commitment to helping farmers, retailers, entrepreneurs, and communities grow.
We are building a company to last. Not just for a decade. But for the next 100 years.

Through our brands and our investment in communities, we will bring more people together, making our company an integral part of our consumers' lives for generations to come.


Purpose of the role:

As a Sr.

IT Engineer, you will be responsible to provide technical support and manage TWS (Tivoli Workload Schedule) jobs; create, maintain and update all calendars in TWS; create schedules, streams, jobs and automated alarms in TWS, collaborate with multiple teams to understand and ultimately provide accurate scheduling, reporting and monitoring of each job, stream and system flow; troubleshoot errors and seek continuous improvement in services on your responsibility.


What we are looking for:

We are looking for individuals who have the following skillset:

  • Self-motivated professional that creates best practices and communicates with different areas of a product
  • Excellent analytical problemsolving skills
  • Excellent communication skills
  • Team player.
  • You have the autonomy to recognize the current and new priorities, evaluating the impact of their outcomes in the result.
  • Continuous service improvement mindset.

Roles & Responsibilities:


  • Identify and solve incidents.
  • Improve and optimize client's environment.
  • Achieve a high level of customer's satisfaction.
  • Provide preventative action plans if metrics do not meet the Excellence Program (EP) Targets, Key Performance Indicators (KPIs), Service Level Agreements (SLAs), operational Excellence Measures.
  • Maintain system documentation and follow Sarbanes Oxley (SOX).
  • Ongoing technical support with the ability to respond and resolve issues appropriate to the SLA. Escalate issues as appropriate and conduct the appropriate action plans.
  • Track and report on requested enhancements.
  • Create root cause analysis.
  • Identify recurring incidents and trigger Problem management process.
  • Proactively identify trends in Service provided, implement improvements, and provide feedback on improvements.

Qualifications, Experience & Skills:


  • 3+ years of experience working with Tivoli Workload Scheduler.
  • Experience creating, managing, and troubleshooting TWS jobs.
  • Experience scheduling SAP jobs.
  • Knowledge in one or more scripting languages (ex: JCL, Shell, Powershell or Bash)
  • Knowledge in Windows, Linux and AIX.
  • ITIL Framework.
  • Communicating effectively by conveying information and ideas in English, in a clear, meaningful, and timely manner, providing information to ensure understanding; solicit inputs and provide open candid conversations.
  • Experience in working in large IT projects and rolling out IT infrastructures across various technologies.
  • Spanish is a plus.
  • Experience with COBOL (Micro Focus Enterprise Server) is a plus.
  • Datadog knowledge is a plus.
  • Azure knowledge is an advantage.

Education:

Bachelor's degree in Information Technology, Computer Science, Information Systems, Engineering or related field, or equivalent experience.


Mandatory Requirements:


  • Strong written and verbal English skills.
  • TWS job skills (reschedule jobs, manage job processing, adhoc job handling, etc )
  • Ability to generate business insights from statistical model)

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