Offers “Procter & Gamble”

Expires soon Procter & Gamble

Senior DevOps Leader (SRE Transformation)

  • Warsaw, POLAND
  • IT development

Job description

P&G has declared an Advance Analytics & Big Data as key strategy and is being designing and managing truly modern, scalable Big Data applications. At the same time P&G is broadly leveraging Cloud platform to host scalable and fully automated solutions based on clusters and serverless cloud services powered by P&G Big Data and Analytics.

Artificial Intelligence Engineering team (AIE) provides technical assistance to internal clients on architecture, design, implementation, operationalization, and scale up of advanced analytic solutions including Artificial Intelligence modules.

As a Member of 15-person Team , Senior DevOps Engineer is also responsible for technical aspects of running day to day AIE production applications, design for supportability aspects and engineering tasks realization.

Responsibilities

· 
Engineering tasks realization including automations and toil eliminations

· 
End to End technical support of AIE solutions

· 
Running processing optimization initiatives (including cloud cost saving projects)

· 
Providing input into design of newly built AIE solutions in terms of supportability

· 
Development and implementation of changes/extensions of the solutions

· 
Collaboration with Product Teams

Job Qualifications

· 
Understanding of Cloud infrastructure and experience in managing solutions in Cloud Environment

· 
Python programming hands-on experience

· 
CI/CD tools knowledge  

· 
Ability to debug, optimize the code and automate routine tasks

· 
Experience in Data Transformation

· 
Experience in Monitoring and Observability dashboards implementation (knowledge of Grafana/Prometheus will be an advantage)

· 
Good problem-solving skills

· 
Ability to learn

Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

Job Schedule
Full time

Job Number
R000090765

Job Segmentation
Experienced Professionals (Job Segmentation)

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