Python állások XIV. kerületben főiskolai végzettséggel

Design and implement secure CI/CD workflows: Develop and maintain secure CI/CD workflows using industry best practices and standards. Ensure the security and integrity of the entire CI/CD pipeline, including code repositories, build systems, artifact repositories, and deployment mechanisms on MOL...

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• Monitoring security alerts, events, and activities across enterprise environments using security monitoring and detection platforms
• Investigating potential cybersecurity incidents and assisting with containment, remediation, and recovery activities

• Development of dashboards
• Support of data integration
• Analytical investigations
• Identification of trends, risks and opportunities
• Development of reporting solutions
• Provision of data analysis, reporting and performance insight
• Improvement of reporting capability and automation

• a SOC által generált riasztások elemzése és értékelése
• jelentések készítése a feltárt problémákról
• a riasztási szabályrendszer ismerete és karbantartásának támogatása, SOC rendszerdokumentációk készítése
• együttműködés a SOC csapat tagjaival, eseti eszkaláció az L2 szint felé

• Design, deploy, and manage scalable cloud and hybrid infrastructure environments with a primary focus on automation, reliability, and security
• Build and maintain Infrastructure-as-Code solutions using Terraform and other automation tools to provision and manage AWS and on-premises resources

• Analysis and research of cloud-native tools and frameworks for Google Cloud Platform solutions
• Support for the T-Systems Public Cloud Product Management Team in building and defining solutions

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• System IP microarchitecture specification and design
• SystemVerilog RTL verification and debug
• Formal bring-up of non-trivial IP blocks to achieve required quality levels

• Design and development of innovative AI solutions
• Collaboration with global technologists, data scientists, and industry experts
• Development of scalable data pipelines
• Building software products and services from the ground up
• Assessment of data landscapes and ensuring data quality