ph3Role Description /h3 pConfigure/maintain/apply security patches to the infrastructure on which the data platform is based, ensure the deployment and the CI/CD of the data or ML delivery. Monitor the performance of the data pipeline and/or the ML models. /p h3Key Objectives /h3 ul liInstall our tools needed to access our data and manipulate it /li liImplement and configure the tools applying the Companies guidelines /li liApply security patches to the different infrastructural components /li liAnalyze and apply if it’s possible the FinOps rules to the different infrastructural components for saving costs purposes /li liConfigure and maintain the different DBs engine we have on AWS (rds, redshift, postgres standalone installation) something like a DBA /li liWork with the Data Architect to ensure development is aligned with the target architecture. /li liDevelop, Deploy Maintain the pipelines used in the Data Platform and the local accounts (CT, LO AS). /li liOperationalize the ML models within the Data Platform. /li liMaintain and monitor the different environments for each country (CT, LO AS) /li liConfigure networking rules on aws account (NACLs, Route table, security groups)



/li liExecute Disaster Recovery Test to ensure the data availability in case of Real Disaster /li liSupport the Developers and Architecture communities analyzing and fixing issue on the different layers on Data Foundation Train and local Teams (CT, LO AS) /li /ul h3Main Responsibilities /h3 ul liMaintain an agile mindset every day. /li liInteract with security, networking and platform teams to have a secure infrastructure and guarantee a stable environment to the stakeholders /li liDeployment of the pipeline to ensure high quality and efficiency of the release process and also in the production environment. /li liWork closely with the Data Architect to monitor the target architecture. /li liCommunicate with Scrum Master to elevate impediments or improvement for the wagon. /li liThey work closely with the MLops Devs and data scientists to operationalize the ML models within the Data Platform. /li liWork closely with the Product Owner and Scrum Master to execute the task assigned to achieve the goal of the wagon. /li liParticipate in team and train ceremonies: PI planning, Sprint planning, Retrospectives, Daily scrum or stand up meetings. /li /ul /p #J-18808-Ljbffr

📌 MLOps Engineer (Andalucía)
🏢 Admiral Europe Tech
📍 Andalucía