Top Remote Platform Engineer Jobs

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Own the technical vision and architecture for an AI platform of agents, skills, and tools. Scale retrieval/knowledge systems, build developer experience, orchestration, observability, and evaluation/feedback loops. Align cross-division engineering strategy and drive platform adoption.

Build and improve Radar's data infrastructure with a focus on customer feedback and successful implementation. Engage with customers to enhance their experience and deploy new solutions.

Automate cloud infrastructure as code, build developer tooling, administer Kubernetes and platform services, improve CI/CD and observability, collaborate with product teams, run on-call rotation and manage incident runbooks to ensure platform reliability and developer productivity.

Partner with Talent Acquisition and People teams to design and deliver People-platform integrations, data services, and AI-enabled automations. Build reusable integrations and platform patterns (Workday, Greenhouse), evaluate vendors, prototype AI solutions, and steward platform operations, governance, and security to scale People technology across the organization.

Lead operational design and engineering for the data platform: own Snowflake and dbt administration, automate platform operations and CI/CD, monitor platform health and observability, enforce governance and access, optimize performance and costs, and develop AI/agent integrations to enable governed data access for business users.

Build the core AI platform and high-performance Rust backend powering an AI-native trading copilot. Implement streaming responses, low-latency tool execution, caching, orchestration of models and tools, secure APIs, auditing/tracing, and safe, auditable trading action infrastructure. Partner with product and frontend to enable AI-native UX and translate trading domain requirements into resilient platform primitives.

Build and operate Radar's infrastructure and developer platform to support 1B API calls/day. Work on backend, SDKs, and data systems using TypeScript, Rust, Python, and Scala. Improve observability, automation, CI/CD, IAM, feature flags, and security; enable self-serve developer workflows; collaborate with SRE, data, QA, and customers; participate in on-call rotation.

As a Data Platform Engineer, you'll architect and implement data services, build data pipelines, optimize for real-time risk assessment, ensure data governance, and collaborate across teams.

Own and evolve the data infrastructure powering identity and fraud products. Build and operate scalable ETL/ELT pipelines, ensure data quality and observability, optimize storage and access, support product squads, respond to production incidents, mentor engineers, and drive data platform innovation.

Lead the Data Platform Engineering team owning ETL/reverse-ETL pipelines, replication, and production datastores. Define architecture, roadmap, standards (IaC, observability, schema contracts), mentor engineers, drive incident response and durable fixes, and partner on cross-team technical decisions and operational reliability for data correctness, completeness, and timeliness.

Design, build, and operate Kubernetes-based compute orchestration and developer tooling. Deliver new compute capabilities, automate operations and observability, integrate AI into workflows, and partner with Security and Reliability to ensure platform scalability, performance, and incident response.

Design, build, deploy, and maintain resilient, scalable backend services and platform components for Toast's Voice AI platform. Lead cross-cutting architecture and projects, integrate AI platforms (LLMs), implement observability and evaluation for AI systems, set engineering standards, and mentor engineers.

Lead platform and developer experience initiatives: interview teams to find friction, design reusable Nest.js/React/TypeScript patterns, optimize PostgreSQL and Kafka performance, manage Kubernetes and ArgoCD deployments, refactor legacy systems, mentor engineers, and deliver tools that improve CI/CD, observability, and developer velocity.

Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.

Design, automate, and operate large-scale Red Hat Enterprise Linux and KVM virtualization platforms on HPC infrastructure. Build automation with Ansible and scripting, manage storage (GPFS, LVM, dm-crypt/LUKS2), implement security/hardening, support networking (bonding, bridging, VLANs, macvtap), integrate monitoring (Grafana/Prometheus/Loki/AlertManager/Thanos), troubleshoot complex OS/virtualization/network/storage issues, and collaborate across Kubernetes, networking, security, and application teams to modernize and standardize platforms.

Design, automate, and operate enterprise OpenShift and Linux platforms on high-performance infrastructure. Build and optimize OpenShift/Kubernetes clusters, manage RHEL and KVM hosts, implement storage (GPFS), security, monitoring, and automation (Ansible, scripting). Troubleshoot performance, partner with architects and security teams, and support scalable, highly available solutions including mixed container and VM workloads.

Lead design and implementation of the PSA Liquidity Platform connecting buyers and sellers. Build buyer tooling, matching/ranking engines, and seller experiences. Architect and operate microservices and Kafka-driven systems on Kubernetes/AWS, instrument observability, apply AI tooling across the SDLC, and drive cross-functional delivery from 0-to-1 while owning end-to-end outcomes.

Design and build an enterprise generative AI platform: agent orchestration, memory, guardrails, vector search, SDKs, and blueprints. Standardize agentic workflows, optimize orchestration and cost, own Helm/Kubernetes operators, ensure trust and safety, mentor engineering teams, and evangelize platform architecture internally and externally.

Lead design and delivery of an agentic AI platform: define architecture, standardize agentic workflows, build GenAI SDK/CLI, harden guardrails and observability, optimize orchestration and costs, own Helm/K8s operators for autoscaling, incubate RFCs and proofs of concept, and mentor engineering leaders while evangelizing platform practices internally and externally.

As a Staff Software Engineer at Samsara, you will lead and develop a high performing team, champion company culture, and contribute to the development of IoT platform solutions.

The Senior Security Engineer will secure cloud infrastructure across various services, develop security policies, manage exceptions, and respond to security alerts while collaborating with teams to eliminate security risks.

Lead and architect enterprise Kubernetes platforms (EKS/GKE), automate resource management and scaling (Karpenter, ScaleOps), implement IaC and CI/CD, apply FinOps to optimize cost, improve observability, mentor engineers, and drive platform resilience and operational excellence.

Lead design and implementation of scalable, cloud-native, event-driven microservices on AWS. Decompose monoliths, optimize relational/NoSQL data models, improve reliability, performance, and testing, collaborate with product, design, QA, and DevOps, and drive platform architecture and roadmap for a multi-tenant SaaS identity security platform.

Design and build next-generation ads formats, backend infrastructure, and scalable distributed systems. Lead technical direction, collaborate across teams to define product requirements, experiment, analyze and optimize ad performance, and ensure availability, scalability, operational excellence, and cost management. Mentor engineers and apply AI tools and high-velocity workflows to deliver production-ready systems.