Top Remote Platform Engineer Jobs

Designs, engineers, governs, and optimizes SAP security and access controls across global S/4HANA environments. Responsibilities include SAP role architecture, authorization models, SAP GRC configuration, SoD analysis, privileged access controls, IAM integration, vulnerability management, audit compliance, security operations, and AI-enabled automation. The role partners with SAP Basis, functional teams, IAM, Cybersecurity, Audit, Compliance, and business stakeholders during SAP transformations, migrations, testing, cutover, and go-live activities.

Designs, implements, and manages Azure cloud data platform infrastructure, including Azure Data Factory, ADLS Gen2, Logic Apps, Blob Storage, Snowflake, and Databricks. Develops GitHub Actions CI/CD pipelines and Terraform infrastructure-as-code solutions. Collaborates with cross-functional teams, monitors platform performance, troubleshoots issues, applies security best practices, and delivers scalable, reliable data solutions.

Own and operate the production threat intelligence platform, maintaining system health, monitoring jobs, and ensuring data quality. Build intelligence-feed integrations, enrichment, tagging, and lifecycle workflows. Deliver intelligence to detections, blocklists, warehouses, and agent workflows. Partner with Security and Product stakeholders to translate requirements into technical capabilities, troubleshoot production issues, and implement durable fixes. Develop production-quality software using Python, Go, or Storm with CI/CD ownership, while responsibly applying generative AI.

Lead the architecture and development of Vercel’s Finance Data Platform supporting revenue recognition, consumption-based billing, forecasting, reporting, and compliance. Build reliable batch and real-time pipelines using Kafka, ClickHouse, Tinybird, and Snowflake; establish governance, lineage, auditability, monitoring, and fault tolerance; translate Finance and Accounting requirements into scalable systems; guide architecture and roadmap decisions; collaborate with Security, Legal, Compliance, Audit, FP&A, and RevOps; and mentor data engineers.

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.

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.

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.

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.

Lead full-cycle development of API and web applications, from architecture and design through deployment and support. Collaborate with product, design, and engineering teams to set technical direction, deliver secure and scalable solutions, improve developer productivity, and support Agile delivery. Responsibilities include code reviews, troubleshooting, documentation, observability, automation, quality measurement, and responsible use of AI-assisted development tools.

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.

Lead modernization of high-throughput cybersecurity detection engines and event pipelines in Go. Own distributed-system reliability, observability, liveness monitoring, load management, schema standards, drift detection, migration validation, and safe cutovers. Provide hands-on technical leadership across teams, set platform direction, write and review production code, and support Sigma-based detection capabilities. Collaborate across a broad stack including Kafka, Temporal, Redis, ClickHouse, Elasticsearch, Kubernetes, cloud platforms, and Ruby on Rails.

Own and evolve GitLab’s authorization systems across its Ruby on Rails monolith and next-generation Rust policy engine. Design fine-grained permissions for users, tokens, roles, and AI agents; secure GraphQL and REST APIs; lead feature-flagged rollouts and migrations; improve performance and reliability; and collaborate across authentication, platform, AI, and modular-service teams in a distributed asynchronous environment.

Volunteer senior developer to design, build, and maintain a cross-platform medical scheduling app (web, iOS, Android). Participate across the full development lifecycle: design, coding, testing, CI, deployments, code reviews, production support, incident management, and platform architecture. Attend weekly standups and commit at least four hours per week.

Build and scale AI platform infrastructure for internal agents across AWS/GCP. Integrate identity (Okta, OAuth2/OIDC), implement agentic security, containerized deployments (Docker/Kubernetes), CI/CD and Terraform-based pipelines, run vendor evaluations, and design observability/telemetry for LLM-driven workflows while collaborating with security, identity, and engineering teams.

Design, implement, optimize, and maintain scalable hybrid multi-cloud Kubernetes platforms operating at massive scale. Integrate open-source technologies, improve platform reliability, provide technical direction, mentor engineers, and participate in on-call support. The role requires expertise managing large Kubernetes clusters, observability tools, Linux environments, public clouds, custom data centers, and AI-enabled workflow improvements.

Design, deploy, secure, and operate enterprise Red Hat OpenShift and Kubernetes platforms across on-premises and cloud environments. Responsibilities include cluster lifecycle automation, multi-tenant networking and storage, CI/CD enablement, observability, security hardening, disaster recovery, upgrades, workload optimization, and developer self-service. The engineer partners with application, security, and infrastructure teams, improves platform tooling, supports compliance, and mentors junior engineers.

Design, administer, optimize, and govern an enterprise Databricks Lakehouse Platform. Responsibilities include managing workspaces, Unity Catalog, compute, workflows, data pipelines, security controls, observability, performance, cost optimization, CI/CD, infrastructure automation, disaster recovery, and platform upgrades. The role also supports audits, compliance, troubleshooting, documentation, technical standards, and mentorship while integrating Databricks with enterprise data, business intelligence, and AI/ML environments.

Build and lead development of an enterprise AI platform supporting large-scale AI-assisted analysis. Responsibilities include designing, developing, testing, deploying, and supporting foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. The role also requires advancing LLM optimization for scalability, latency, throughput, hardware utilization, and cost while shaping the long-term roadmap for foundational AI systems and mentoring engineering teams.

Build and lead a greenfield cloud platform supporting application, data, and AI workloads. Responsibilities include managing Terraform infrastructure, production EKS clusters, Helm deployments, CI/CD pipelines, security controls, observability, cloud cost allocation, and developer golden paths. The role establishes engineering standards, supports regulated-data compliance, partners across engineering teams, reviews infrastructure changes, mentors engineers, and writes production code while ensuring reliable, secure, and cost-effective service delivery.

Build and maintain cloud-native production platforms, automate infrastructure and deployment environments, and bridge application development with production teams. Responsibilities include validating implementations, independently solving technical problems, developing small components, estimating work, debugging systems, and promoting DevOps, DevSecOps, CI/CD, infrastructure-as-code, containerization, and security best practices. The role requires Kubernetes and cloud experience, programming and shell scripting knowledge, YAML proficiency, cross-functional collaboration, and U.S. citizenship.

Design, build, and run cloud-based automated test frameworks and scripts for React/Node applications. Configure CI/CD pipelines, test environments, and data sets; validate APIs and containerized apps; collaborate with manual testers and development teams using Agile/DevSecOps practices.