Top Remote Platform Engineer Jobs

Build and operate LottieFiles’ platform systems, including a Federation v2 GraphQL gateway, gRPC services, authentication integrations, and developer tooling. Improve developer experience through golden paths, schema workflows, code generation, documentation, and platform enablement. Enhance observability, scalability, security, resilience, latency, and reliability across distributed cloud systems. Collaborate with engineering, product, DevOps, and vendors, resolve incidents, and mentor teammates.

Design, build, and optimize scalable infrastructure for GenAI/LLM workloads across multi-GPU environments. Perform GPU profiling and distributed training optimization, manage Slurm and Kubernetes/OpenShift clusters, enable NVIDIA GPU stack, create IaC templates (Terraform/Helm), and collaborate with data science and MLOps teams to deploy production GenAI pipelines.

Designs and operates OCI-based cloud platforms supporting federal Oracle Fusion Cloud HCM deployments. Responsibilities include CI/CD automation, Terraform infrastructure provisioning, configuration baselines, SaaS updates, disaster recovery, monitoring, security controls, environment refreshes, runbooks, troubleshooting, technical reviews, and mentoring. The role requires federal compliance knowledge, multi-environment release management, and collaboration across functional, testing, cybersecurity, and program teams.

Designs and operates secure OCI cloud infrastructure and CI/CD automation for Oracle Fusion Cloud HCM across federal environments. Responsibilities include Terraform provisioning, Jenkins and Python pipeline development, configuration baselining, quarterly SaaS updates, disaster recovery, monitoring, encryption compliance, environment refreshes, ATO documentation, and technical leadership across Agile workstreams.

Lead and set technical strategy for the Order Platform powering post-checkout flows (orders, captures, refunds, settlement). Design and ship highly available backend systems, own reliability/operational practices, mentor engineers, collaborate cross-functionally, and drive long-term technical decisions and execution plans.

As a Staff Application Platform Engineer, you will enhance developer productivity, design scalable systems, ensure security, and collaborate cross-functionally on projects from ideation to deployment.

Build and own the Databricks-centered AI/ML platform on Azure, drive enterprise AI governance, remediate shadow AI, deliver automation use cases, and advise stakeholders from prototype to production.

Lead evolution of an internal developer platform into an AI-first, self-service system. Architect, build, and operate secure multi-tenant AWS EKS/Kubernetes infrastructure, developer tooling (CLIs, SDKs, portals), IaC/GitOps workflows, observability, and AI-assisted automation for provisioning, incident triage, and remediation while collaborating with application, SRE, and security teams.

The Engineering Manager will lead the Core Platform team, focusing on improving developer productivity and technical excellence while managing project execution.

Build and operate an on-prem AI platform (Model-as-a-Service) including RAG pipelines, vector DBs, MCP tooling, agent repositories, CI/CD integration, and guardrails within MRM. Optimize large on-prem GPU infrastructure and translate business use cases into scalable platform services.

Own and operate the Workday platform across HCM, Payroll, Recruiting, Prism, and Illuminate. Configure modules, build reports and integrations (EIB, Studio, APIs, RaaS), manage security models, tenant lifecycle, release readiness, analytics, automation, and compliance while partnering with HR, Payroll, Finance, and IT stakeholders.

Develop and support scalable Java and Spring Boot backend microservices powering omnichannel inventory availability, order promising, allocation, fulfilment, and post-purchase experiences. Build event-driven processing with Kafka, integrate OMS, WMS, ERP, commerce, and fulfilment platforms, and ensure services are secure, observable, reliable, and performant. Own features from design through production, write tested code, participate in reviews, troubleshoot production issues, and improve operational efficiency.

Designs, automates, and executes functional, integration, API, contract, regression, concurrency, and performance tests for inventory, order promising, sourcing, and fulfillment platforms. Investigates defects, validates fixes, maintains regression coverage, integrates quality tests into CI/CD pipelines, and supports release readiness. The role collaborates with product and engineering teams to validate distributed commerce systems, integrations, business rules, data consistency, scalability, resilience, and consumer-impacting workflows.

Lead the design, build, and scale of a hybrid semantic search platform on OpenSearch. Own indexing pipelines (MySQL, Kafka/RabbitMQ), integrate vector embeddings and neural search, tune relevance and ranking, ensure ultra-low latency and high availability, mentor engineers, and participate in on-call rotation.

Design, implement, and operate an enterprise secrets management platform. Onboard applications, automate credential lifecycle (provisioning, rotation, revocation), integrate with AWS services and CI/CD, enforce least-privilege IAM policies, implement PKI and FIPS-compliant cryptography, monitor/audit access, and support GovCloud and DevSecOps integrations.

Architect and lead next-generation client platform services, build scalable IaC/CaC tooling and automation, enforce technical standards, mentor engineers, collaborate with Security and Networking, drive reliability, root-cause analysis, and improve developer experience.

Build and own the clinical imaging viewer and annotation platform used by radiologists: implement volume and stack rendering, progressive HTJ2K loading, DICOM geometry correctness, 3D mask storage, AI-assisted segmentation tools, annotation state machines and agreement scoring, schema gating, versioned model mask contracts, and secure FastAPI backend with HIPAA-compliant access controls and cohort isolation.

Lead platform engineering strategy across multi-environment cloud systems: design scalable Kubernetes platforms, own IaC and CI/CD standards, implement DevSecOps and observability, drive reliability/cost optimization, lead cloud migrations and AI/ML platform infrastructure (model serving, GPU orchestration, LLM gateway, vector stores), mentor engineers, and communicate infrastructure tradeoffs to stakeholders.

Design, build, and operate a scalable demo environment platform. Implement IaC and automation, CI/CD, container orchestration, and observability. Create golden templates, seed data, access controls, and tooling to support Sales Engineering and internal users while ensuring reliability and security.

Design, build, and maintain scalable, secure cloud platform services using IaC and automation. Improve CI/CD, observability, and compliance (CMMC/NIST 800-171), support incident response, and produce platform documentation and runbooks.

Design, build, and operate internal developer platforms, CI/CD pipelines, developer environments, deployment workflows, and shared services. Create automation and custom tooling, prototype and productionize AI-assisted engineering workflows, strengthen cloud and container foundations (Kubernetes, IaC), instrument platforms with telemetry, and own platform projects end-to-end including rollout, adoption, and on-call.

Lead technical strategy and architecture for Coinbase's Blockchain Platform, overseeing nodes, indexers, wallets, and asset lifecycle. Drive cross-team platform rearchitectures, enforce security and reliability standards, champion AI-driven automation, use observability to improve reliability, and represent the platform to executives to secure alignment and resources for large-scale blockchain infrastructure initiatives.

Build and lead development of the ESPM platform using Ruby on Rails. Define technical vision, design scalable data pipelines and architectures for petabyte-scale ingestion, implement features across the stack, collaborate with security researchers, mentor engineers, and ensure high-quality, tested deliveries.

Lead technical design and implementation of the ISPM product using Ruby on Rails. Build scalable data pipelines and systems to process large-scale identity telemetry, collaborate with security researchers and product teams, mentor engineers, and set architectural direction for detection and remediation features.

Design, build, and operate a reliable, scalable developer platform and cloud infrastructure (GCP/GKE). Lead SRE practices: SLO/SLI, observability, incident response, on-call, automation, security-by-default, Terraform IaC, CI/CD, capacity planning, mentoring, and platform enablement across teams.