Top Remote Platform Engineer Jobs

Design, implement, and maintain scalable, reliable, and secure platform infrastructure and tooling from robot to cloud. Write and review code, document systems, prototype and evaluate designs, collaborate with teams to improve frameworks, and support CI/CD, Kubernetes, IaC, and observability stacks.

Build and deliver backend enterprise web applications for Citi's Integrated Digital Assets Platform using Java/Spring and web3 technologies. Collaborate with distributed teams, follow best practices and design patterns, write technical documentation, resolve issues, and ensure scalability, reliability, and performance.

Develop and operate a system for argumentation related to AI safety, utilizing ontologies and knowledge graphs while collaborating with various stakeholders.

Design and operate distributed inference systems for LLMs, build large-scale data pipelines, and debug production issues while collaborating with researchers and ML engineers.

Lead design and scaling of a high-performance, data-intensive storage layer for network telemetry. Co-own multi-year roadmap, collaborate with product/support/sales, and solve challenging distributed storage and query-performance problems at large scale.

As a Platform Engineer at Revic, you'll design and maintain scalable cloud infrastructure for AI systems, manage CI/CD pipelines, improve developer experience, and reduce operational friction while ensuring reliability and performance.

The Systems Engineer will architect and implement solutions for queueing systems and state stores, improve throughput and latency, and collaborate with teams to enhance the user experience.

As a Senior Systems Engineer II, you will lead stakeholder discussions, manage system requirements, support software services for cardiac health, and conduct compliance assessments while collaborating with cross-functional teams.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

Build and maintain core financial backend systems (trading, ledger, billing), transaction processing, reconciliation, and portfolio state management. Design and scale real-time and batch data pipelines, architect APIs and backend services, ensure reliability and observability, and contribute to distributed system design (event-driven, microservices, streaming). Partner with ML teams as needed.

Build and evolve a large-scale search and reporting platform: design and implement streaming data pipelines, improve search relevancy and indexing, scale systems 10x, control costs, ensure production readiness (testing, monitoring, reliability), support escalations, and collaborate on architecture, code reviews, and hiring.

Lead technical strategy and hands-on engineering for Airbnb's AI-powered ads growth engine. Architect scalable systems for creative generation, bidding, budget optimization, and audience management across paid channels. Write and review code, set standards for availability and quality, collaborate with Marketing/Product/ML teams, roll out staged automation, and mentor engineers to advance platform autonomy while ensuring brand safety and human-in-the-loop controls.

Design, implement, and own production platform subsystems for an enterprise AI control plane. Deliver production-ready Go services on Kubernetes, ensure reliability, observability, and scalability, mentor engineers, drive design docs and code quality, and contribute to the open-source ToolHive/MCP ecosystem.

Contribute to and harden Stacklok Enterprise platform (runtime, Kubernetes operator, gateway, registry). Ship features, fix production issues, write testable code and design docs, review PRs, support open-source ToolHive community, and independently plan and deliver platform work for enterprise AI agents.

Own and evolve the Core Platform architecture: design and operate scalable APIs, event-driven distributed services, SDKs and AI-integrated workflows. Ensure reliability, observability, performance, and security; provide technical leadership, mentor engineers, and drive best practices.

Designs, builds, and operates GenAI cloud platforms across Azure, AWS, and Google. Develops self-service tools, CI/CD pipelines, and Terraform IaC. Troubleshoots performance and availability, automates deployments, supports developer adoption of LLMs and AI services, and leads postmortems and scalability planning.

Lead cloud-native platform engineering initiatives: migrate Jenkins pipelines to Harness, move GCVE/on‑prem workloads to GKE, implement GitOps, IaC (Terraform/Ansible), enforce cloud governance and security, build observability and scalable GKE infrastructure, and coach teams on agile and best practices to improve developer productivity.