30 Platform Engineer jobs in Portugal available for remote work from home. Apply for positions such as Platform Engineer, Platform Engineer, Software Engineer, Platform - Coimbra, Portugal and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, build, and tune the server, storage, and network infrastructure to ensure high-performance video delivery. Automate operational tasks and maintain system observability to ensure platform resilience and scalability.
Design, implement, and maintain the technical architecture for the Microsoft AI and Data Platform, focusing on Microsoft Fabric and Power Platform. Ensure operational stability, scalability, and performance while managing governance and security policies.
The role involves designing, developing, and maintaining robust backend APIs including payment, subscription, and authentication services. You will also collaborate with cross-functional teams to optimize backend architecture and support B2B enterprise integration needs.
The role involves designing, developing, and maintaining robust backend APIs including payment, subscription, and authentication services. You will also collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
Design and build reusable platform capabilities for LLM applications, AI agents, and RAG workflows. Develop secure integrations and establish standards for AI deployment, observability, and lifecycle management.
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Design, operate, and evolve scalable Kubernetes-based platforms while managing cluster lifecycles and automation workflows. Collaborate with cross-functional teams to implement CI/CD pipelines, GitOps practices, and robust monitoring frameworks.
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.
You will lead the platform engineering group by managing application-level developer experience and building robust data platform infrastructure. This role involves automating data quality checks, optimizing analytics layers, and mentoring engineering squads to improve delivery speed and system reliability.
You will design, build, and maintain Kubernetes operators and platform services while automating cloud infrastructure and incident response. Additionally, you will contribute to the development of deployment pipelines and improve developer experience through robust platform capabilities.
You will build and maintain the platform foundation, including observability, messaging, and persistence services. Additionally, you will collaborate with product and SRE teams to deliver scalable infrastructure and standardized application frameworks.
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.
Architect and maintain enterprise-grade CI/CD solutions and internal developer platforms to optimize the developer experience. Lead the development of critical automation tooling and provide technical mentorship and incident response leadership.
The role focuses on shaping reliability and operational excellence to maintain high system uptime and reduce operational toil through automation. Responsibilities include driving performance testing, implementing observability solutions, and managing incident response for a new multiplayer strategy game.
Design and maintain scalable real-time data pipelines and a high-performance ClickHouse warehouse to support AI agents and analytical needs. Own the end-to-end feature-serving layer and implement data contracts to ensure seamless multi-tenant scaling.
Design, build, and operate secure and scalable data streaming platforms to support global betting brands. Drive automation using Infrastructure as Code and implement GitOps practices to enhance developer experience.
You will own the operation, evolution, and automation of OpenStack-based private clouds, ensuring reliability and stability. You will also troubleshoot infrastructure issues across compute, network, and storage layers while improving observability and security.
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You will be responsible for strengthening the team by managing AI infrastructure and ML production environments. This includes optimizing AI inference, handling GPU workloads, and maintaining scalable real-time AI systems.
The role involves owning the operation and evolution of OpenStack-based private clouds, focusing on reliability, upgrades, automation, and solving infrastructure problems across compute, network, and storage. Responsibilities include running and evolving the OpenStack private cloud, automating infrastructure work, and troubleshooting issues.
You will own and improve monitoring, observability, and engineering standards across the data platform to ensure reliable pipeline health. Additionally, you will build internal tooling and support AI adoption to remove friction for data analysts and engineers.
You will build and maintain features for production services while taking ownership of projects from requirements to deployment. Additionally, you will participate in on-call rotations, automate repetitive tasks, and collaborate with senior engineers to solve complex distributed systems problems.
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.
You will build and maintain developer-facing surfaces including language clients, CLI, and MCP servers to integrate Elastic into the AI ecosystem. You will also collaborate with product teams and external partners to design and deliver high-quality integrations.
Design and implement scalable application networking features while integrating security controls into the Elastic Cloud infrastructure. Collaborate with cross-functional teams to analyze performance metrics, conduct load testing, and resolve network-related incidents.
Architect and build sophisticated AI agents using Gemini and CXAS, focusing on reasoning, grounding, and tool-use capabilities. Manage the migration of legacy conversational interfaces and implement RAG pipelines and CI/CD automation for scalable deployments.
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The Senior Platform Engineer will own developer experience and application frameworks while bridging the gap between DevOps and data engineering. They will also build automation for data quality checks and mentor the engineering team through code and design reviews.
The Director of Platform Engineering will lead the SRE, MLOps, and Platform teams to evolve core engineering foundations and infrastructure. This role involves setting technical vision, defining best practices, and ensuring the platform supports rapid product development and reliability.
The manager will lead and mentor a high-performing team within Platform Engineering, fostering technical excellence and continuous growth while partnering with cross-functional stakeholders to define and evolve engineering best practices. Responsibilities include promoting operational excellence, focusing on automation, and ensuring the predictable delivery of platform commitments by realistically assessing team capacity.
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