Top Remote Platform Engineer Jobs

Design, build, and operate high-scale full-stack platform products including GraphQL/REST APIs, embeddable UI components, and resilient asynchronous backend systems. Lead cross-functional initiatives, mentor engineers, drive reliability and observability, manage incidents, and deliver developer-focused platform features to support global content workflows.

Build, operate, and maintain scalable backend services and Kubernetes clusters across AWS and Azure. Contribute production code, Terraform IaC, CI/CD/GitOps workflows, observability, and testing while learning from senior engineers.

Design and maintain federated GraphQL schemas and server-driven UI; build fast, accessible front-end apps with React and TypeScript; develop and optimize GraphQL/SQL backends; operate production services (Kubernetes, observability in DataDog), own releases and on-call rotations; drive testing, CI/CD, technical debt reduction, mentoring, and cross-team coordination.

Lead platform engineering to improve cloud infrastructure, Kubernetes, IaC, CI/CD, secrets, observability, and production guardrails. Build internal developer tooling, harden access controls, improve operational readiness, and define pragmatic platform standards to enable secure, reliable, high-velocity releases.

Design, build, and own cloud-native runtime production environments and platform architecture. Drive platform roadmaps, DevSecOps practices, CI/CD pipelines, security automation, and mentor engineers while aligning platform delivery to mission objectives and collaborating with product and customer teams.

Design, build, and own large-scale distributed backend systems in Go to process billions of events and petabytes of data. Lead architecture, reliability, observability, and performance efforts; improve service communication and data pipelines; debug production at scale; mentor engineers and share learnings publicly.

Build core, shared ML capabilities for a production platform: foundation models for documents, extraction agents, model routing, unified evaluation, and continuous improvement pipelines. Own end-to-end capability development, production deployment, and cross-team support to improve accuracy, latency, cost, and reliability across institutional workflows.

Design and implement distributed high-reliability storage systems, including Ceph clusters, and develop efficient APIs for internal services.

The Software Engineer will scale and optimize the platform's infrastructure, manage data layers, and enhance system operations to support growing LLM requests.

Lead design, build, and operate enterprise-scale AI/MLOps platform infrastructure. Implement Kubernetes-native systems and infrastructure-as-code, ensure production reliability, security, and cost efficiency, create developer tooling and abstractions, collaborate with customers, mentor engineers, and drive platform architecture and priorities.

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

The Senior Backend Engineer will develop, test, and maintain scalable integrations, support cross-functional teams, and enhance developer experiences.

Build and operate Sourcegraph Cloud platform: develop inter-cloud connectivity, control plane orchestration, expose infrastructure APIs, debug and patch upstream IaC dependencies, ensure reliability and participate in on-call rotation to meet SLAs.

Lead technical design and hands-on development of Pantheon’s data platform, extending ingestion, curation, retention services and ML/LLM infrastructure. Mentor engineers, drive architecture and engineering standards, operate in a DevOps model, partner cross-functionally, and participate in on-call support to ensure reliable, compliant data access and analytics.

Design, implement, and maintain AI platform components (model serving, RAG, prompt management, evaluation). Build APIs, observability, and integration patterns; collaborate with product teams, mentor junior engineers, and enforce compliance and data-handling standards for regulated financial environments.

As a Senior Full Stack Software Engineer at Orum, you will own product features end-to-end, design scalable systems, collaborate with cross-functional teams, and drive technical excellence while mentoring your teammates.

Design and implement a video processing engine, develop a cross-platform rendering engine, integrate systems, and optimize performance while collaborating with other engineers.

Design, build, and optimize scalable Java-based microservices and RESTful APIs. Ensure performance, uptime, and engineering standards through design and code reviews, testing, and collaboration with product and support teams. Contribute to domain-driven service design and API consistency.

Lead platform and infrastructure engineering to improve stability, developer productivity, CI/CD, observability, and shared libraries. Deliver platform projects, mentor engineers, own production availability and on-call, and drive platform decisions and best practices across the org.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The Senior Software Engineer will build GPU-accelerated compute platforms for AI workloads, focusing on orchestration, resource management, and performance optimization.

This role involves designing and implementing infrastructure systems for AI workloads, focusing on orchestration, automation, APIs, and compliance in a cloud-native environment. Collaboration across teams is essential for project success.

Build and implement a software-defined networking platform for high-performance AI workloads, ensuring network isolation and high-speed connectivity for research and infrastructure teams.

The Technical Engineer will manage system administration of the Starburst platform, collaborate on solutions across teams, and ensure efficient operational support.

The Staff Software Engineer will lead the architecture and development of a real-time content platform, working on both backend and frontend systems while mentoring team members and collaborating with product and design teams.