Top Remote Platform Engineer Jobs

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.

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.

Build end-to-end product features across data pipelines, backend services, LLM integrations, workflow orchestration, and UI. Ship production code, write and iterate specs, integrate AI tooling, partner directly with operations, ensure correctness and auditability in a regulated domain, own production systems (observability, on-call), and help define engineering culture.

Lead architecture, scalability, and reliability for the Integrations Platform across SDKs, agents, job pipelines, and developer tooling. Drive platform roadmap, observability, workflow orchestration, AI-enabled integration authoring, and cross-functional initiatives while mentoring engineers and collaborating with product and customer teams.

Build and scale backend services for identity, access control, secure content sharing, and data access. Contribute to Dgraph internals, collaborate with platform and infrastructure teams, drive architecture and permissions models, and write high-quality Go and Python code focused on reliability, security, and performance.

Build and operate Valence's shared platform primitives (auth, routing, LLM gateway, deployment, observability, SLOs) to enable safe, scalable, and compliant delivery of AI-first products. Implement CI/CD gates, progressive delivery, rollback automation, security guardrails, region-aware routing, and developer-facing templates and tooling.

Design, deploy, and operate Kubernetes clusters across AWS and bare-metal datacenters. Build automation for lifecycle management, ensure reliability, performance, and security of workloads, implement observability, partner with product teams on cloud-native services and CI/CD, lead incident response and mentor engineers.

The Senior Software Engineer will develop a real-time ML data platform for maritime autonomy, focusing on data processing, pipeline building, and ensuring dataset quality and reproducibility.

Build and own enterprise-grade organization management, RBAC/authorization, audit logging, enterprise policies, admin APIs, and compliance features. Design scalable, secure multi-tenant platform primitives and tooling to support large organizations.

Design, build, and maintain backend services for identity, access control, secure content sharing, and data access on the data platform. Contribute to Dgraph internals and Data Studio tooling, collaborate with platform and infra teams, drive permissions and secure-sharing architecture, and write well-tested Go and Python code focusing on reliability, security, and performance.

Join an early-stage platform team to scale and mature a mortgage origination platform. Work across the stack to improve distributed systems, performance, observability, and infrastructure tooling, and help define engineering standards and frameworks for growth.

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.