Implement and optimize shared frameworks and data access patterns for large-scale systems using various NoSQL and SQL databases. Develop reusable SDKs and platform services while ensuring operational stability and sub-second latencies.
Remote Platform Engineer Jobs (1,761)
Search = Platform Engineer
Architect and develop reusable frameworks, SDKs, and core platform services using Node.js and GoLang on GCP. Lead technical design reviews and drive AI-powered engineering workflows to improve SDLC efficiency and developer productivity.
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.
Lead the architecture and migration to a governed Microsoft Fabric platform while ensuring the reliability of BI and semantic models. Establish data engineering standards and mentor team members to translate business needs into technical delivery.
Design and operationalize a scalable AI platform and service layer to support enterprise systems and customer-facing digital experiences. Collaborate with cross-functional teams to integrate AI capabilities like RAG pipelines and intelligent workflows into SaaS applications.
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Senior Atlassian Platform Engineer
Social Discovery Group
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Full Time
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14 Weeks Ago
Social Discovery Group
Administer and optimize Jira Server, Data Center, and Confluence environments, including workflows, permissions, and integrations. Automate administrative tasks and collaborate with infrastructure and SRE teams to ensure platform stability and reliability.
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.
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.
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.
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.
Senior Full Stack Engineer — Platform Extensions 13 APPLICANTS
Fueled
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Full Time
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15 Weeks Ago
Fueled
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.
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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.
Cloud Platform Engineer
synvert Portugal(Recruiting)
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Full Time
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16 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.
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.
You will design, build, and scale the company's telephony infrastructure while owning integrations with providers like Twilio. Additionally, you will work in production environments to troubleshoot real-time call quality and improve observability across the voice stack.
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.
Platform Engineer (Observability & AIOps focus)
Telia Company
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Full Time
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16 Weeks Ago
Telia Company
You will evolve the observability stack by managing high-scale logging and tracing platforms while driving the transition to AI-driven, proactive infrastructure insights. Additionally, you will automate manual tasks using Python and take end-to-end ownership of ITSM tooling, CMDB, and access management.
The engineer will design, develop, and maintain back-end product features while advocating for best practices and scalable system architecture. They will also collaborate with stakeholders to define roadmaps and mentor junior team members to foster a collaborative engineering culture.
Staff Software Engineer - Platform Engineering
Cohere Health
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Full Time
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16 Weeks Ago
Cohere Health
Lead the development of scalable, reliable platform infrastructure while driving deployment and release strategies to improve speed and safety. Partner cross-functionally to establish observability and SRE practices while mentoring teams on platform and reliability best practices.
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You will design and evolve a streaming lakehouse architecture while building distributed pipelines to ensure low-latency data movement. Additionally, you will contribute to self-service and agentic layers to support AI-driven products and cross-functional data needs.
The role involves building AI-native integrations and core services to ensure high performance and scalability across the Seismic platform. You will collaborate with cross-functional teams, including data and AI engineers, to integrate CRM capabilities and provide technical leadership to junior staff.
You will lead teams in designing, automating, and optimizing modern digital service platforms while fostering a DevOps culture. Additionally, you will provide technical leadership, mentor staff, and collaborate with cross-functional teams to deliver high-quality software solutions.
AI Global Platform Engineer – Voice & Automation
Customer Analytics Italia
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Full Time
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16 Weeks Ago
Customer Analytics Italia
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.
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