Top Remote Platform Engineer Jobs

Design, implement, administer, and optimize large-scale Hadoop clusters (HDFS, YARN, MapReduce). Monitor, secure, troubleshoot, automate provisioning, and implement backup/disaster recovery. Collaborate with data engineers/scientists, implement ETL/streaming pipelines, and document configurations and best practices.

Design, develop, and maintain high-performance messaging and streaming platforms (Kafka, Flink, Kinesis). Build secure, resilient production code, implement IaC with Terraform on AWS, drive automation/CI-CD, troubleshoot operational issues, evaluate vendor solutions, and lead engineering communities of practice within the application infrastructure modernization team.

Design, build, and maintain IaC and automation for AWS using Terraform and Go. Manage Kubernetes deployments, implement CI/CD pipelines, monitoring, and troubleshooting to ensure scalable, reliable cloud infrastructure.

Design, implement, and manage large-scale GCP infrastructure using IaC (Terraform), containerization (Kubernetes/Docker), monitoring, security, and DR. Mentor junior engineers, optimize performance and costs, and document practices.

Design, implement, and maintain cloud infrastructure and platforms using Terraform and AWS. Manage databases (Postgres, Redshift, NoSQL), implement CI/CD pipelines, ensure reliability, security, and scalability, support application lifecycle, monitor performance, troubleshoot issues, and document operational procedures.

Design, develop, and maintain scalable ML and AI platform infrastructure for model training, deployment, feature engineering, candidate generation, agent deployment, and observability. Collaborate with data scientists and engineers, support platform operations, drive improvements, codify best practices, and influence platform investments to enable production ML systems at scale.

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.

Lead technical vision and implement high-impact Ruby on Rails solutions for an internal demo platform. Improve reliability, observability, instrumentation, and integrations; partner with Product, Sales, and cross-functional teams; mentor engineers and drive architecture, testing, and engineering best practices.

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.

Lead NOS platform porting and BSP development for switch ASICs, integrate and validate drivers, hardware monitoring and BMC interfaces, implement control/data plane components for SONiC and FBOSS, build test infrastructure and CI/CD, profile and optimize performance, and collaborate across hardware, firmware, and SAI/SDK teams while engaging with open-source communities.

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.

Design, build, and operate scalable GenAI platforms (AI Agents, RAG, Knowledge Graphs). Develop backend services, implement IaC and CI/CD, deploy on cloud-native and Kubernetes environments, and collaborate with data scientists and ML engineers to deliver production-grade AI infrastructure.

Own and operate Anthropic's endpoint platform: manage MDM as a production service, author configuration-as-code, build zero-touch provisioning and patching automation, run fleet software distribution and telemetry, partner on endpoint security and compliance, and serve as deep escalation for endpoint issues.

Owner of CI/CD release pipeline infrastructure: design, build, and maintain YAML pipelines in GitHub and Azure DevOps; automate deployments with Ansible and IaC; implement proactive monitoring and manage Azure/on-prem resources; maintain runbooks, secrets, and deployment strategies; collaborate across engineering, DBA, and IT teams; participate in on-call rotation.

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.

Design and build internal AI productivity tools and LLM-powered applications to augment developer workflows. Integrate AI into the software development lifecycle, apply techniques like prompt engineering, RAG, and agents, partner with engineering teams to identify bottlenecks, and continuously evaluate emerging AI technologies to improve internal platforms and engineering efficiency.

Lead the design, provisioning, automation, and operation of an Azure- and Snowflake-based cloud data platform. Build IaC, CI/CD pipelines, orchestration and monitoring, API integrations, and scalable data pipelines. Troubleshoot platform issues, optimize performance and costs, collaborate with architects and business partners, mentor engineers, and drive modernization to Snowflake/Databricks.

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.

The Staff Platform Engineer will enhance platform architecture and developer experience by implementing AI optimizations, leading change, and mentoring engineers while ensuring reliability and performance.

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, develop, and maintain the infrastructure software stack enabling CI/CD for Collaboration Devices. Collaborate with US and global product teams to deliver and troubleshoot Kubernetes/container platforms, drive performance and reliability improvements, and act as a technical liaison to support on‑prem and bare‑metal deployment needs.

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.

Own the full Salesforce SDLC and architecture for Sales and Revenue systems. Configure and extend CPQ/Revenue Cloud Advanced, build integrations (SOAP/REST) to HubSpot, Gong, Maxio, and NetSuite, implement Omnistudio DocGen, apply AI-assisted development (Claude MCP), manage platform governance, and partner with RevOps, Sales, and Finance for reliable revenue data and reporting.

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 architecture and delivery of a secure, low-latency Kubernetes-based compute platform for AI agents and untrusted workloads. Own isolation, scheduling, lifecycle, networking, policy, observability, and control-plane capabilities across GCP and AWS. Drive cross-team outcomes from design to adoption, improve developer experience via APIs and automation, and champion reliability, security, performance, and cost efficiency while mentoring engineers and setting technical direction.