Own the foundational health of the PHP monolith, including runtime upgrades, dependency management, and observability. Build shared TypeScript services and event-driven pipelines on GCP to reduce friction for other engineering teams.
Remote Platform Engineer Jobs (1,601)
Search = Platform Engineer
Design, build, and support robust platform solutions including Kubernetes clusters and CI/CD pipelines across Azure and AWS. Lead cloud migration and modernization efforts for legacy workloads while ensuring system reliability and security.
Build and enhance the Developer Inner Loop by implementing AI-powered tooling and maintaining platform capabilities across CI/CD and release workflows. Partner with architects to reduce friction in the software delivery lifecycle and drive automation in build and test processes.
Build and maintain enterprise software applications while collaborating with AI engineers to utilize LLM APIs. You will lead architecture decisions, improve CI/CD pipelines, and mentor junior team members to enhance overall team efficiency.
Lead the evolution of AWS infrastructure supporting data platforms, ML training, and analytics workloads. Design and maintain EKS-based services, Terraform infrastructure, and CI/CD pipelines to productionize models and data pipelines.
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Platform Engineer III - Core Platform
Fanatics Betting & Gaming
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Full Time
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6 Weeks Ago
Fanatics Betting & Gaming
The role focuses on developing and maintaining cloud infrastructure, release pipelines, and deployment systems to accelerate delivery. The engineer will own specific platform components, lead incident response, and contribute to technical designs for scalability and performance.
The role involves architecting and managing AI infrastructure, orchestration tools, and automation platforms across AWS and Kubernetes. You will also implement AI observability, cost dashboards, and 'Human-in-the-Loop' processes to streamline engineering workflows.
Lead the development and enhancement of cloud reference architectures and CI/CD pipelines to enable self-service deployments. Mentor team members and collaborate across functions to build secure, resilient, and efficient cloud infrastructure.
Design and productionize scalable AI/ML models and platforms to support the deployment of machine learning products. Collaborate with data scientists and engineers to build reusable end-to-end pipelines and mentor junior staff.
Lead the design and delivery of AWS platform initiatives, focusing on infrastructure-as-code and Kubernetes tooling. Improve developer experience by optimizing CI/CD pipelines and maintaining internal Python libraries to reduce operational friction.
Design and build highly available, scalable, and fault-tolerant security platform services within an AWS environment. The role involves the full software development lifecycle, including research, design, coding, and bug fixing for production-facing systems.
Maintain the stability of a distributed microservice control plane and automate database lifecycle operations using Kubernetes. Develop back-end features, Kubernetes controllers, and observability systems to enhance platform scalability and reliability.
Lead a small team of engineers to architect and deliver secure, scalable, AI-native platform solutions and CI/CD pipelines. Own the technical scope of workstreams, managing infrastructure as code and implementing observability and developer tooling.
Design and implement scalable ETL pipelines and high-performance APIs to process terabytes of data. Collaborate with cross-functional teams to transform raw data into actionable business products and mentor junior engineers.
Design and build the core AI platform foundations, including reusable SDKs, APIs, and orchestration primitives to enable product teams to ship AI capabilities. Own the platform-level evaluation infrastructure and ensure production scale, reliability, and governance for AI systems.
Brazil - Remote: Data Engineer - Platform & Pipelines
Halliburton
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Full Time
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6 Weeks Ago
Halliburton
Develop and maintain ELT pipelines using a Medallion Architecture to transform raw industrial data into structured assets. Orchestrate complex data transformations using Airflow and optimize processing workflows with Polars and Spark.
Design, operate, and scale storage-based infrastructure across AWS, Azure, and GCP using a cell-based architecture. Collaborate with cross-functional teams to improve platform scalability, security, and developer velocity through automation and self-service tooling.
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Own and drive the platform roadmap to improve infrastructure reliability, scalability, and security. Lead the consolidation of two infrastructure stacks into a unified platform and manage infrastructure costs.
The role involves designing and managing the infrastructure architecture, CI/CD pipelines, and deployments for both cloud and on-premise environments. You will be the primary point of reference for infrastructure maintenance and the lifecycle of enterprise client deployments.
The Senior Platform Engineer will develop and optimize scalable software solutions and platform infrastructure using C# and .NET Core. They will also manage Kubernetes-based infrastructure and implement GitOps practices to streamline application delivery.
The role involves building MCP servers and developing platform features and agents by modeling and contextualizing Claude for various business and IT teams. The engineer will translate business requirements into model configurations and versatile platform tools.
You will design, implement, and optimize high-performance, scalable data storage and processing platforms to support petabyte-scale analytics. Additionally, you will define technical vision, build robust data pipelines, and ensure the reliability and security of cloud infrastructure.
You will create and implement automated configuration and deployment processes while managing platform services and infrastructure. Additionally, you will collaborate with developers to troubleshoot issues and champion AI-augmented workflows to accelerate delivery.
You will build and maintain platform integrations connecting services like WordPress and WooCommerce with external partner ecosystems. You will also collaborate cross-functionally to shape product architecture and deliver high-quality, scalable features.
The Staff Platform Engineer will build and maintain enterprise software applications while collaborating with AI engineers to integrate large language models. They are responsible for improving infrastructure-as-code, CI/CD pipelines, and mentoring junior team members to ensure high-quality, scalable software delivery.
The Senior AI Platform Engineer will partner with executive leadership and product teams to identify AI enablement needs and build scalable AI platform solutions. This role involves designing AI best practices, implementing agentic coding tools, and mentoring internal teams to improve efficiency through AI-powered tooling.
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Cloud Platform Engineer
synvert Portugal(Recruiting)
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Full Time
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7 Weeks Ago
synvert Portugal(Recruiting)
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.
The Senior Platform Engineer will own and evolve CI/CD pipelines and infrastructure while developing backend services for an AI-driven platform. They will collaborate with cross-functional teams to ensure system reliability, manage deployments, and implement monitoring solutions.
Design, build, and maintain high-quality mobile applications using React Native while collaborating with product and engineering teams. Mentor team members on best practices and contribute to the overall technical architecture of mobile products.
(Contract) Data Platform Engineer (AWS & Data Pipelines)
SOUTHWORKS
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Full Time
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7 Weeks Ago
SOUTHWORKS
Design, build, and operate scalable streaming and batch data pipelines while driving automation and monitoring across the platform. Collaborate with cross-functional teams to translate system designs into actionable tasks and ensure operational efficiency.
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