Top Remote Platform Engineer Jobs

Designs, develops, tests, and maintains robotics middleware and application frameworks in modern C++ on embedded Linux. Owns platform components through deployment and fleet operation, improves reliability and performance, diagnoses complex concurrency and systems issues, and translates safety requirements into software behavior and verification. Collaborates across autonomy, systems, hardware, and software teams while leading technical reviews and mentoring engineers.

Build and maintain Quora’s machine learning platform and distributed model-serving infrastructure. Develop scalable systems for recommendation and language models, optimize GPU serving latency, throughput, and cost, improve ML tooling and feature stores, and contribute to platform modernization. The role includes production deployment, collaboration with senior engineers, mentoring, and participation in an on-call rotation.

Build, operate, and automate multi-region VM and Kubernetes infrastructure on GCP and AWS using IaC (Terraform/Spacelift) and Helm. Implement observability (Grafana, Prometheus/Mimir, OTel), manage networking, DNS, certificates, and service mesh (Cilium). Reduce toil via automation and CI/CD, use LLM-assisted tooling, collaborate across teams, and participate in a 24x7 on-call rotation to maintain platform reliability and security.

Designs, implements, and supports enterprise infrastructure platforms centered on OpenShift, Kubernetes, GitOps, and container technologies. Responsibilities include cluster lifecycle management, CI/CD, virtualization, storage, monitoring, automation, security, backups, disaster recovery, troubleshooting, system upgrades, documentation, and incident response. The role collaborates cross-functionally, mentors junior engineers, supports continuous improvement, and participates in on-call activities and after-hours changes when needed.

Architect and develop scalable backend microservices for payments, disbursements, or governance, risk, and compliance systems. Build secure, high-performance financial infrastructure using Google Cloud and distributed-system technologies, support millions of daily requests, and collaborate with product, operations, and compliance teams. The role also includes mentoring engineers, improving platform capabilities through analytics and feedback, and implementing payment, onboarding, KYC, and regulatory workflows.

Build and operate platform infrastructure across PostgreSQL, GCP, data systems, developer tooling, security foundations, and agentic systems. Own infrastructure projects from discovery through production, including migrations, observability, rollback planning, reliability, scalability, and internal customer feedback. Develop shared frameworks, evaluations, harnesses, sandboxes, and interfaces for cloud-based agent workflows while improving developer velocity and platform quality.

Build and operate reusable cloud data-platform infrastructure across engineering teams. Design, secure, monitor, optimize, and maintain relational, NoSQL, columnar, streaming, and analytical data systems. Establish database, schema, access, backup, recovery, privacy, and observability standards; improve infrastructure-as-code and operational tooling; and guide datastore selection and architecture. Lead cross-team initiatives, reduce technical debt, mentor senior engineers, document best practices, and influence technical strategy without direct management authority.

Own end-to-end delivery of platform initiatives, designing scalable infrastructure, APIs, gateways, backend services, self-service tooling, and automation. Evaluate and implement AI agents and workflows within developer tooling, improve reliability and engineering productivity, lead technical design reviews, mentor engineers, and influence cross-functional stakeholders. The role requires operating complex production systems across Ruby/Rails, Python, Rust, React/TypeScript, GraphQL, and cloud infrastructure.

Design, develop, and maintain Customer Data Platform solutions and data pipelines to create unified customer profiles, manage identity resolution, enable audience segmentation and activation, ensure data quality and governance, and support integrations with marketing, CRM, and cloud data systems.

Designs and operates production-grade Amazon EKS platforms across AWS and on-premises environments. Responsibilities include hybrid networking, autoscaling with Karpenter, Bottlerocket lifecycle management, EMR-on-EKS data workloads, GPU infrastructure for AI and voice applications, GitOps deployment, Kubernetes security and governance, infrastructure as code, observability, and disaster recovery documentation.

Build and manage Tempo’s infrastructure stack, improve developer velocity and experience, maintain blockchain, validator, and explorer reliability, and support enterprise validator onboarding. The role involves production bare-metal and cloud environments, Kubernetes, infrastructure as code, observability, Linux, networking, security hardening, troubleshooting, and tooling development using Rust, Go, or Python.

Develop, test, deploy, and maintain Microsoft Power Platform solutions for federal mission-critical systems. Build Canvas Apps, Model-Driven Apps, Power Pages, Dataverse models, and Power Automate workflows. Migrate legacy .NET, C#, and JavaScript applications, support integrations and testing, troubleshoot defects, document solutions, and assist with production operations. Collaborate within Agile/Scrum teams while meeting federal security, privacy, and Section 508 accessibility requirements.

Build and operate automated compute-capacity systems across regions, including forecasting, provisioning, reservations, fleet reconciliation, drift detection, observability, alerting, and cost optimization. Support demand planning for customer commitments, migrations, and new regions. Contribute to right-sizing, autoscaling, workload consolidation, capacity incident response, and post-incident improvements while coordinating with engineering and finance stakeholders.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Lead platform architecture, development, and reliability for an AI-driven molecular discovery product. Build agentic workflows, full-stack UI features, integrate Console/Builder/Solutions apps, and implement API integrations with sequence and assay providers to support model training, deployment, and researcher workflows.

Own Payabli’s AWS infrastructure, platform roadmap, CI/CD pipelines, infrastructure-as-code, developer environments, observability, and security posture. Design resilient cloud architecture, improve local development, enable secure AI-assisted workflows, and maintain PCI-DSS-aligned controls. Establish deployment standards, monitoring, documentation, and runbooks while partnering with engineering leadership to increase developer productivity and operational reliability.

Own the AWS infrastructure, deployment path, access model, and observability for a new data platform handling protected health information. Build declarative infrastructure with Terraform or CDK, implement GitOps and CI/CD, administer Kubernetes workloads, design least-privilege access, manage networking and databases, and automate operational processes including autoscaling and self-healing.

Designs, builds, operates, and supports backend services powering an enterprise AI platform. Responsibilities include developing APIs, AI gateway and orchestration capabilities, entitlements, tenancy models, data access patterns, integrations, and platform services. The engineer owns services throughout design, implementation, testing, deployment, monitoring, reliability, and support while collaborating with client product, engineering, data, and platform stakeholders.

Architects, develops, and maintains scalable cloud platforms supporting software development and deployment. Builds infrastructure with Terraform, CI/CD pipelines, monitoring, logging, IAM, security controls, and automation. Troubleshoots and optimizes cloud infrastructure, plans scaling, modernizes legacy environments, and supports DevOps, DevSecOps, SRE, and compliance initiatives. Leads cross-functional projects, writes production-quality code, uses generative AI tools, and participates in on-call support.

Design and build a scalable Internal Developer Platform (IDP) using Kubernetes and cloud-native services, improve CI/CD and DX, enforce platform governance and security, lead MLOps/LLM infrastructure, mentor engineers, and align platform roadmap with product goals.

Lead development and operation of a scalable Kubernetes-based cloud-native platform. Shape the engineering roadmap, deliver enterprise platform capabilities, establish best practices, mentor engineers, and collaborate across Agile teams. Build highly available and fault-tolerant production services using Kubernetes and cloud-native technologies, while applying expertise in Go, Python or Bash, networking, Linux, and CI/CD practices.

Own the design, development, and automation of Coinbase’s routing infrastructure connecting services to Kubernetes backends. Build scalable capabilities using Envoy, Istio, Ambient Mesh, and SPIFFE; improve routing latency, reliability, and performance; enhance developer tooling with responsible AI; and collaborate with security, reliability, and observability teams to resolve complex distributed-systems issues.

Build and operate scalable data infrastructure, including fault-tolerant pipelines, data discovery services, and data lineage systems. Develop backend services that process petabytes of data for machine learning and autonomy teams. Lead system design, code reviews, and technical contributions while using AWS cloud ETL technologies and distributed systems. Collaborate with stakeholders to improve platform adoption and address data customer needs.

Design, develop, test, deploy, and support enterprise Microsoft Power Platform solutions using Power Apps, Power Automate, Power BI, and Dataverse. Integrate solutions with Microsoft 365, SharePoint, Azure services, Azure SQL, and external data sources. Gather requirements, document solutions, perform testing, troubleshoot issues, and provide technical leadership on governance and the Power Platform Center of Excellence. Mentor developers and support ongoing platform enhancements.

Deploys and maintains UDS and Kubernetes platforms in secure bare-metal environments. Responsibilities include configuring GPU compute, storage, and networking; managing infrastructure as code; supporting secure software delivery; troubleshooting platform services; and collaborating with mission stakeholders and engineering teams. The role is remote in the United States and requires U.S. citizenship, with 15–25% travel.