Beskrivning av uppdrag 45373
Stockholm 
For the needs of a client in the banking industry we are now searching for an Infra Engineer.
Responsibilities
• Design, build, and maintain infrastructure for generative AI use cases on Microsoft Azure
• Collaborate with cross-functional teams to ensure seamless integration of infrastructure components
• Implement Infrastructure as Code (IaaC) best practices using tools like Terraform, Ansible, or Azure Resource Manager templates
• Manage and monitor network protocols, keys, encryption/decryption for secure data transmission
• Develop monitoring and alerting mechanisms to ensure the smooth functioning of the infrastructure
• Write scripts in Bash, Python, and Shell to automate repet[i]tive tasks and improve efficiency
• Design, implement, and manage containerized environments using Docker and Kubernetes for scalable and efficient deployment of AI applications
• Stay up-to-date with the latest industry trends and technologies related to generative AI, Azure cloud computing, Docker, and Kubernetes
• Provide technical guidance and support to team members
Experience with streaming systems MQ, Kafka , Azure Event Hubs
Requirements
• Bachelor"s degree in Computer Science, Engineering, or a related field
• 5+ years of experience as an Infrastructure Administrator with a focus on IaaC
• Proficient in Docker, and Kubernetes
• Strong knowledge of Microsoft Azure platform
• Strong understanding of container networking, storage, and security
• Proficiency in scripting languages like Bash, Python, and Shell
• Experience with networking protocols, encryption/decryption techniques, and secure data transmission
• Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack
• Excellent problem-solving skills and the ability to work independently as well as collaboratively within a team
• Strong communication skills and the ability to explain complex technical concepts in simple terms
Nice to have
• Microsoft certified: Azure Administrator
Location: Stockholm (remotely)
Start date: 2024-09-17
End date: 2024-12-31
Work time percentage: 100%