Top Remote Platform Engineer Jobs

Design, deploy, and operate Kubernetes clusters across AWS and bare-metal datacenters. Build automation for provisioning, upgrades, and scaling. Own reliability, performance, and security of production workloads. Implement observability, logging, and alerting. Partner on cloud-native services and CI/CD; lead incident response and post-mortems; set platform standards and mentor engineers.

Join Sei Labs as a Senior Engineer to build scalable blockchain infrastructure, focusing on CI/CD, observability, and security in a decentralized finance environment.

Design and implement full-stack applications for GenAI, build developer tooling, collaborate with product teams, and enhance AI agent delivery.

Design and implement full-stack applications and AI agents to enable rapid development and deployment of AI solutions in critical industries. Mentor engineers and take ownership of projects while applying secure SDLC practices and collaborating with cross-functional teams.

Design, build, and maintain scalable data pipelines and ingestion agents for fleet robotics. Define efficient data formats/protocols, implement observability and big-data processing (Spark/Kafka), and build cloud tools (S3, Athena, SageMaker) for analytics, IoT integration, and long-horizon forecasting to improve robot performance and operational insights.

Manual QA engineer responsible for testing web and mobile booking flows across admin, reservation, website/iFrame, and mobile app. Create and maintain test cases and documentation, perform functional, regression, exploratory, and UAT testing, review requirements during grooming, track defects, and collaborate with developers, designers, PMs, and QA to own features end-to-end.

Lead architecture and evolution of Cardlytics' AWS-based data compute platform and lakehouse. Define standards for batch, streaming, ML, and AI workloads; build semantic layer, feature store, and governance. Partner with analysts and engineers, drive CI/CD (Terraform, GitHub Actions), monitoring, security, cost governance, and incident response while mentoring teams and shaping platform strategy.

Lead operations for large-scale AI infrastructure: manage NVIDIA GPU and high-performance networking environments, troubleshoot Linux/Kubernetes/storage/hardware issues, drive incident response and root cause analysis, improve observability and automation, mentor engineers, and collaborate with engineering and datacenter teams to ensure platform reliability and scalability.

Design, develop, and deploy Power Platform solutions on Dataverse, including Power Automate, Power Fx, C# plugins, JavaScript, Dual Write, and Power Apps. Troubleshoot Dataverse/Dynamics CE issues, manage small projects and offshore development, build integrations and data migrations, maintain client relationships, and follow standards and project timelines.

The Senior Platform Engineer will enhance internal tooling, optimize CI/CD pipelines, and ensure AWS infrastructure reliability and security while facilitating fast software development and deployment.

Build customer-facing AI products and agentic automation, modernize core architecture, improve observability and CI, ship full‑stack features (TS/Node/NestJS/React/Postgres), mentor engineers, and influence engineering practices across the organization.

Build and maintain platform systems that provision, secure, and observe isolated agent execution environments. Design reusable primitives for queues, jobs, locks, and service-bus mechanics. Extend Pulumi-based IaC, work with containers, Linux internals, storage, permissions, logging, and runtime debugging. Ship reliable, maintainable infrastructure-driven application code and collaborate in a small cross-functional team.

The role involves leading design projects for mobile and web platforms, creating prototypes, collaborating with engineering teams, and maintaining design consistency across products.

Develop and maintain web-based storage management applications, including Kubernetes operators and CSI plugins, collaborating closely across teams to define APIs.

Build and own a framework-agnostic charting engine core and its React binding: rendering layers, real-time data plumbing, indicator math, drawing tools, performance (60fps) discipline, visual testing, architectural leadership, mentoring, and integrations across web and mobile.

As a Principal Software Engineer, you will architect AI-enabled systems, mentor teams, and guide technical decisions for scalable products.

Lead platform engineering to improve developer productivity, CI/CD, build systems, monorepo health, and internal tooling (80%); contribute to product features, scalable APIs, and AI-native marketplace infrastructure (20%).

Design, build, and maintain platform services, infrastructure, and tooling to improve developer experience, reliability, and scalability. Own complex systems end-to-end, add observability and CI, and embed AI-enabled workflows to accelerate product delivery and operational excellence.

Lead architecture and implementation to scale a large Kubernetes-native microservice platform into cell-based deployments. Decompose services, build shared libraries and configuration frameworks, enable private/isolated cloud deployments, land changes in product services, set architecture patterns, partner with Cloud Platform/SRE/DevEx, mentor senior engineers, and embed AI tooling into development workflows.

As a Backend Engineer at Coral AI, you will design and build scalable backend systems, collaborate with teams, enforce best practices, and mentor engineers.

As a Senior Software Engineer, you will develop and maintain Alpaca's platform services, including event streaming infrastructure and authentication systems, while ensuring software quality and reliability.

The GPU Cloud Platform Engineer designs and operates multi-cluster GPU infrastructures for AI workloads, ensuring performance and efficiency across cloud environments.

As a Site Reliability Engineer, you'll build and maintain infrastructure for ML models, automate processes, and collaborate cross-functionally.

The Senior Engineer will build and operate backend systems for AI agents, design APIs, optimize performance, and uphold engineering standards to ensure platform reliability and scalability.

Build and operate core backend services, APIs, and platform components for enterprise AI; integrate LLMs, retrieval and agent workflows; ensure reliability, observability, testing, and scalability; collaborate with research, product, and design to productionize AI capabilities.