18 Platform Engineer jobs in Italy available for remote work from home. Apply for positions such as Platform Engineer, Platform Engineer, Platform Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Platform Engineer is responsible for designing, automating, and optimizing technical infrastructure to ensure scalable and reliable software implementations. The role focuses on leveraging AI-assisted operations and predictive monitoring to maintain high standards of platform governance and performance.
You will operate and improve AWS infrastructure, including networking, compute, and databases, while managing Terraform codebases and EKS clusters. Additionally, you will participate in on-call rotations, automate operational tasks, and collaborate with development teams to ensure platform reliability and security.
Design, build, and evolve modern cloud-native platforms while maintaining CI/CD pipelines and GitOps workflows. Collaborate with software engineers to ensure platform reliability, scalability, and security while mentoring junior team members.
You will build and maintain internal platform capabilities to reduce operational burden while embedding security into platform foundations. You will also collaborate with engineering teams to optimize infrastructure and support the adoption of new operational practices.
You will design, build, and operate cloud-native Kubernetes platforms while collaborating directly with client engineering teams. You are responsible for maintaining platform reliability, implementing infrastructure as code, and establishing self-service paths for delivery engineers.
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The Platform team is responsible for building and maintaining backend services including payments, analytics, subscriptions, and external APIs. You will design and optimize robust APIs while collaborating with cross-functional teams to align backend architecture with product strategy.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
The Platform team is responsible for building and maintaining backend services including payments, analytics, subscriptions, and external APIs. You will design and optimize robust APIs while collaborating with cross-functional teams to align backend architecture with product strategy.
You will own and evolve the Kubernetes and cloud infrastructure platform to ensure scalability, reliability, and usability. You will also design CI/CD pipelines and provide self-service tooling to enable product teams to deploy and operate services independently.
Own the full incident lifecycle, including active response, leading postmortems, and eliminating root causes to reduce toil. Build internal automation and AI-assisted workflows to improve platform reliability and observability.
Build and maintain the technical capability layer for company-wide AI productivity, focusing on agentic AI infrastructure and self-service tooling. Own the connector layer, execution environments, and AI governance to ensure safe and scalable deployment of AI workflows.
You will develop and evolve the technical backbone of the company's Conversational AI platform, including voicebot and chatbot systems. You will also design RAG architectures and optimize LLM integrations for performance, latency, and cost in production environments.
Design and build internal AI productivity tools, including coding assistants and LLM-powered applications to streamline engineering workflows. Partner with engineering teams to integrate AI capabilities into the software development lifecycle and continuously evaluate emerging AI technologies.
Design, build, and maintain backend systems and APIs for the Wikidata Query Service to ensure scalability and reliability. Monitor production systems, resolve operational bottlenecks, and contribute to deployment automation and CI/CD workflows.
Design and maintain backend systems and APIs for the Wikidata Query Service to ensure high scalability and reliability. Collaborate with SRE and product teams to monitor production systems and implement automation for data pipelines.
You will define the architecture for the data platform and lead the design of scalable, low-latency pipelines for high-volume payment transactions. Additionally, you will mentor senior engineers and partner with cross-functional teams to ensure data reliability and business value.
Architect and develop core components of the ML platform and data infrastructure for training, inference, and large-scale data processing. Lead project workstreams and collaborate with cross-functional teams to integrate ML and data workflows seamlessly.
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Develop and maintain a client-side full-stack IM chat platform with a primary focus on Android. Engineer mobile solutions to enhance the messaging experience across the platform.
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