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.Moz://a.Ai is at the forefront of the AI revolution, advocating for a decentralized and open-source approach. Our ambition is to empower developers to craft AI solutions that are both scalable and trustworthy. Through innovation, collaboration, and responsible AI practices, we're shaping an AI future anchored in user agency, privacy, and transparency.Position : Platform EngineerLocation : Madrid, Lisbon, London (remote)Type : Full-TimeExpected Start Date : Q2 2024Position Overview:As a Platform Engineer, you will contribute to the design, development, and maintenance of our AI platform infrastructure. You will work closely with the Platform Engineering Lead and cross-functional teams to build scalable, resilient, and cost-effective infrastructure solutions. You key Responsibilities are:Participate in the design and development of infrastructure solutions tailored to the needs of our AI technology platform, ensuring seamless integration with multiple cloud environments and optimization for GPU-accelerated processing.Collaborate with the engineering team to develop backend services and APIs, ensuring high performance, security, and scalability. Implement best practices for microservices architecture and containerization.Assist in managing and orchestrating workloads across multiple cloud providers, leveraging services and features to maximize reliability, scalability, and flexibility.Help implement monitoring, logging, and alerting solutions to ensure proactive maintenance and troubleshooting.Contribute to the implementation of automated testing, deployment, and monitoring practices to ensure the reliability, availability, and performance of our platform. Support continuous integration and continuous delivery (CI/CD) pipelines to streamline development workflows and accelerate time-to-market.Stay updated on emerging technologies and industry trends, and contribute to a culture of collaboration, innovation, and continuous learning within the team.Qualifications:Proven experience in cloud platform engineering roles, with a focus on building infrastructure and backend services for cloud-based applications.Proficiency in managing AWS cloud (experience in other clouds like Azure is a big plus) and familiarity with cloud-native technologies and services.Experience with DevOps practices, including CI/CD pipelines, automated testing, and infrastructure as code (IaC, Terraform). Familiarity with managing a DevOps organization and delivering DevOps tool chain and automation is a plus.Strong programming skills in languages such as Python or Go, along with experience with containerization (e.G., Docker, Kubernetes).Experience with microservices architecture, RESTful APIs, and distributed systems.Excellent communication skills, with the ability to collaborate effectively in a fast-paced, team-oriented environment.Strong problem-solving abilities and a proactive approach to troubleshooting and resolving issues
