Job
Description
Role Overview: You will be joining Deutsche Brse Group as a PaaS, AI & Automation Engineer in the Corporate IT Cloud Infrastructure Operations team. This role offers you the opportunity to shape the cloud-native platforms of the organization and work at the intersection of development and infrastructure operations. Your focus will be on automation, reliability, and modern cloud technologies to ensure performance, resilience, and security in a highly regulated financial environment. Key Responsibilities: - Design, implement, and maintain automated deployment pipelines to modernize the infrastructure landscape through automation. - Integrate AI/ML solutions to optimize ticket resolution, automate request handling, facilitate customer self-service, and enhance system observability. - Adhere to security best practices, ensure compliance with internal and external standards, and implement AI-assisted vulnerability verification, mitigation, and resolution. - Collaborate cross-functionally with engineering, security, and operations teams to integrate tools and processes effectively. - Create comprehensive documentation and knowledge base articles related to the implementation and application of solutions. Qualifications Required: - Experience integrating AI/ML, preferably into infrastructure operations. - 3+ years of experience in automation in a mission-critical environment. - Hands-on experience with GCP, Vertex AI, and familiarity with cloud-native serverless technologies. Azure experience is a plus. - Proficiency in automation platforms such as Ansible, GCP Workflows. - Solid understanding of API integrations, authentication, and event-driven architecture. - Familiarity with monitoring and observability (OTel, Prometheus integration). - Minimum 2 years of scripting and programming experience (Python, Bash, .). - Experience with Infrastructure as Code (IaC) in Terraform for declarative infrastructure provisioning. - Exposure to SRE practices and GitOps workflows. - Ability to self-motivate and possess strong analytical, communication, and problem-solving skills. - Fluent in written and spoken English. Role Overview: You will be joining Deutsche Brse Group as a PaaS, AI & Automation Engineer in the Corporate IT Cloud Infrastructure Operations team. This role offers you the opportunity to shape the cloud-native platforms of the organization and work at the intersection of development and infrastructure operations. Your focus will be on automation, reliability, and modern cloud technologies to ensure performance, resilience, and security in a highly regulated financial environment. Key Responsibilities: - Design, implement, and maintain automated deployment pipelines to modernize the infrastructure landscape through automation. - Integrate AI/ML solutions to optimize ticket resolution, automate request handling, facilitate customer self-service, and enhance system observability. - Adhere to security best practices, ensure compliance with internal and external standards, and implement AI-assisted vulnerability verification, mitigation, and resolution. - Collaborate cross-functionally with engineering, security, and operations teams to integrate tools and processes effectively. - Create comprehensive documentation and knowledge base articles related to the implementation and application of solutions. Qualifications Required: - Experience integrating AI/ML, preferably into infrastructure operations. - 3+ years of experience in automation in a mission-critical environment. - Hands-on experience with GCP, Vertex AI, and familiarity with cloud-native serverless technologies. Azure experience is a plus. - Proficiency in automation platforms such as Ansible, GCP Workflows. - Solid understanding of API integrations, authentication, and event-driven architecture. - Familiarity with monitoring and observability (OTel, Prometheus integration). - Minimum 2 years of scripting and programming experience (Python, Bash, .). - Experience with Infrastructure as Code (IaC) in Terraform for declarative infrastructure provisioning. - Exposure to SRE practices and GitOps workflows. - Ability to self-motivate and possess strong analytical, communication, and problem-solving skills. - Fluent in written and spoken English.
