32 Platform Engineer jobs in Portugal available for remote work from home. Apply for positions such as Platform Engineer, Software Engineer, Platform - Porto, Portugal, Software Engineer, Platform - Braga, 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, 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 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.
You will be responsible for managing and optimizing the AWS CI/CD ecosystem and implementing infrastructure as code using AWS CDK. The role involves collaborating within a dynamic team to maintain cloud infrastructure and ensure efficient deployment pipelines.
You will design, implement, and maintain an AI Platform and Internal Developer Platform to support development and data science teams. This role involves automating cloud resource provisioning and managing platform configurations through efficient workflows.
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You will develop and maintain data platforms, supporting data pipelines and ETL/ELT processes for a large-scale energy provider. Additionally, you will collaborate with stakeholders to troubleshoot issues, optimize SQL queries, and automate data ingestion and delivery workflows.
You will define and implement the security architecture for the Azure cloud environment, including identity hardening, network security, and policy guardrails. Additionally, you will collaborate with platform teams to integrate security controls as code and ensure secure migration of workloads.
The Platform Engineer will support and maintain AWS cloud infrastructure, manage SaaS platform deployments, and monitor the performance of DPM solutions. They will also automate processes, participate in a 24/7 on-call rotation, and collaborate with development teams to troubleshoot and resolve application issues.
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.
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.
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.
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.
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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 assess and model capacity requirements to ensure seamless scaling of compute resources across Elastic Cloud environments. Additionally, you will implement optimization strategies and develop reporting tools to maintain infrastructure performance and efficiency.
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 improve frameworks, reusable components, and operational guidelines to help teams manage the full software development lifecycle. Additionally, you will mentor engineers, uphold engineering standards, and drive technical communication across projects.
You will design, deploy, and maintain production Kubernetes clusters while ensuring system reliability, observability, and security. Additionally, you will build automated CI/CD pipelines and optimize infrastructure performance, including CDN and edge configurations.
You will set the technical direction and architecture for application networking initiatives, including Ingress, security controls, and DNS management. Additionally, you will lead complex incident investigations and mentor engineering teams to ensure high operational quality and reliability.
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.
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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.
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 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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